Shalini Makawita

Closest collaborators

The 23 strongest of 23 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Ernest Ramsay Camp · 1 shared paper, 2024 · strength 0.21
   • Paper Translational and oncologic significance of tertiary lymphoid structures in pancreatic adenocarcinoma. DOI 10.3389/fimmu.2024.1324093↗
2. Mark P. Rubinstein · 1 shared paper, 2024 · strength 0.21
   • Paper Translational and oncologic significance of tertiary lymphoid structures in pancreatic adenocarcinoma. DOI 10.3389/fimmu.2024.1324093↗
3. Zachary Gao · 1 shared paper, 2024 · strength 0.21
   • Paper Translational and oncologic significance of tertiary lymphoid structures in pancreatic adenocarcinoma. DOI 10.3389/fimmu.2024.1324093↗
4. Davendra P. S. Sohal · 1 shared paper, 2023 · strength 0.14
   • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
5. Zev A. Wainberg · 1 shared paper, 2023 · strength 0.14
   • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
6. Vivek U. Nimgaonkar · 1 shared paper, 2023 · strength 0.14
   • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
7. Arnav Mehta · 1 shared paper, 2023 · strength 0.14
   • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
8. Andrew Eugene Hendifar · 1 shared paper, 2023 · strength 0.14
   • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
9. Pranav Rajpurkar · 1 shared paper, 2023 · strength 0.14
   • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
10. Eric Andrew Collisson · 1 shared paper, 2023 · strength 0.14
    • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
11. Julia Sidenius Johansen · 1 shared paper, 2023 · strength 0.14
    • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
12. Christos K Fountzilas · 1 shared paper, 2023 · strength 0.14
    • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
13. Benjamin Musher · 1 shared paper, 2023 · strength 0.14
    • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
14. Aatur Dilip Singhi · 1 shared paper, 2023 · strength 0.14
    • Paper Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment o… DOI 10.1016/j.xcrm.2023.101013↗
15. Eleftherios P. Diamandis · 3 shared papers, 2011–2013 · strength 0.10
    • Paper Validation of four candidate pancreatic cancer serological biomarkers that improve the performance of CA19.9. DOI 10.1186/1471-2407-13-404↗
    • Paper Mining the malignant ascites proteome for pancreatic cancer biomarkers. DOI 10.1002/pmic.201100264↗
    • Paper Integrated proteomic profiling of cell line conditioned media and pancreatic juice for the identification of pancreatic… DOI 10.1074/mcp.m111.008599↗
16. Steve Gallinger · 2 shared papers, 2011–2013 · strength 0.06
    • Paper Validation of four candidate pancreatic cancer serological biomarkers that improve the performance of CA19.9. DOI 10.1186/1471-2407-13-404↗
    • Paper Integrated proteomic profiling of cell line conditioned media and pancreatic juice for the identification of pancreatic… DOI 10.1074/mcp.m111.008599↗
17. Alison Chan · 1 shared paper, 2013 · strength 0.04
    • Paper Validation of four candidate pancreatic cancer serological biomarkers that improve the performance of CA19.9. DOI 10.1186/1471-2407-13-404↗
18. Randy S. Haun · 1 shared paper, 2013 · strength 0.04
    • Paper Validation of four candidate pancreatic cancer serological biomarkers that improve the performance of CA19.9. DOI 10.1186/1471-2407-13-404↗
19. Ivan M. Blasutig · 1 shared paper, 2013 · strength 0.04
    • Paper Validation of four candidate pancreatic cancer serological biomarkers that improve the performance of CA19.9. DOI 10.1186/1471-2407-13-404↗
20. Hari Kosanam · 1 shared paper, 2011 · strength 0.03
    • Paper Mining the malignant ascites proteome for pancreatic cancer biomarkers. DOI 10.1002/pmic.201100264↗
21. Felix Rückert · 1 shared paper, 2011 · strength 0.03
    • Paper Integrated proteomic profiling of cell line conditioned media and pancreatic juice for the identification of pancreatic… DOI 10.1074/mcp.m111.008599↗
22. Robert Grützmann · 1 shared paper, 2011 · strength 0.03
    • Paper Integrated proteomic profiling of cell line conditioned media and pancreatic juice for the identification of pancreatic… DOI 10.1074/mcp.m111.008599↗
23. Christian P. Pilarsky · 1 shared paper, 2011 · strength 0.03
    • Paper Integrated proteomic profiling of cell line conditioned media and pancreatic juice for the identification of pancreatic… DOI 10.1074/mcp.m111.008599↗

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.