ResearcherIndian Institute of Information Technology AllahabadNo recent work listed
Imlimaong Aier
Matched on ORCID iD 0000-0002-3424-8405; OpenAlex author ID A5064878817.
Their work
- Papers
- 5 (first author 5, last author 0)
- Trials
- 0
- Grants
- 0
- Collaborators
- 1
2019: 3 papers · 2020: none · 2021: 2 papers
Papers 5
- Comparative modeling and structure based drug repurposing of PAX2 transcription factor for targeting acquired chemoresistance in pancreatic ductal adenocarcino… First author DOI 10.1080/07391102.2020.1742793↗
- In silico identification of therapeutic compounds against microRNA targets in drug-resistant pancreatic ductal adenocarcinoma. First author DOI 10.1080/07391102.2020.1782262↗
- A systematic assessment of statistics, risk factors, and underlying features involved in pancreatic cancer. First author DOI 10.1016/j.canep.2018.12.001↗
- An integrated epigenome and transcriptome analysis identifies PAX2 as a master regulator of drug resistance in high grade pancreatic ductal adenocarcinoma. First author DOI 10.1371/journal.pone.0223554↗
- Understanding the Mechanism of Cell Death in Gemcitabine Resistant Pancreatic Ductal Adenocarcinoma: A Systems Biology Approach. First author DOI 10.2174/1389202920666191025102726↗
Closest collaborators
The 1 strongest of 1 ranked by shared papers, trials and grants, with recent and small-team work weighing most.
- Pritish Kumar Varadwaj · 5 shared papers, 2019–2021
- Paper Understanding the Mechanism of Cell Death in Gemcitabine Resistant Pancreatic Ductal Adenocarcinoma: A Systems Biology … DOI 10.2174/1389202920666191025102726↗
- Paper Comparative modeling and structure based drug repurposing of PAX2 transcription factor for targeting acquired chemoresi… DOI 10.1080/07391102.2020.1742793↗
- Paper In silico identification of therapeutic compounds against microRNA targets in drug-resistant pancreatic ductal adenocar… DOI 10.1080/07391102.2020.1782262↗
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (the fewest links first, then the links with the most shared work). Built from public records only; no contact details are kept.