Dhruv Pratap Singh

Closest collaborators

The 13 strongest of 13 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Naoki Takahashi · 2 shared papers, 2020–2021 · strength 0.20
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
   • Paper Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential be… DOI 10.1016/j.pan.2020.07.410↗
2. Suresh T. Chari · 2 shared papers, 2020–2021 · strength 0.20
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
   • Paper Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential be… DOI 10.1016/j.pan.2020.07.410↗
3. Shounak Majumder · 2 shared papers, 2020–2021 · strength 0.20
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
   • Paper Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential be… DOI 10.1016/j.pan.2020.07.410↗
4. Michael J. Levy · 2 shared papers, 2020–2021 · strength 0.20
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
   • Paper Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential be… DOI 10.1016/j.pan.2020.07.410↗
5. Laurens P. Janssens · 1 shared paper, 2021 · strength 0.11
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
6. Ferga C. Gleeson · 1 shared paper, 2021 · strength 0.11
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
7. Randall K. Pearson · 1 shared paper, 2021 · strength 0.11
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
8. Vinay Chandrasekhara · 1 shared paper, 2021 · strength 0.11
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
9. Santhi Swaroop Vege · 1 shared paper, 2021 · strength 0.11
   • Paper Determining age and sex-specific distribution of pancreatic whole-gland CT attenuation using artificial intelligence ai… DOI 10.1016/j.pan.2021.08.004↗
10. Ayush Sharma · 1 shared paper, 2020 · strength 0.10
    • Paper Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential be… DOI 10.1016/j.pan.2020.07.410↗
11. Shruti Chandra · 1 shared paper, 2020 · strength 0.10
    • Paper Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential be… DOI 10.1016/j.pan.2020.07.410↗
12. Sushil Kumar Garg · 1 shared paper, 2020 · strength 0.10
    • Paper Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential be… DOI 10.1016/j.pan.2020.07.410↗
13. Ajit Harishkumar Goenka · 1 shared paper, 2020 · strength 0.10
    • Paper Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential be… DOI 10.1016/j.pan.2020.07.410↗

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.