Anirban Maitra
- Molecular Biology top 0.05%
- Oncology top 0.01%
- Cancer Research top 0.01%
- Surgery top 0.1%
- Epidemiology top 0.2%
- Co-authors
- Ralph H. HrubanMichael GogginsGeorg FeldmannChristine A. Iacobuzio–DonahueSteven D. LeachDuojia PanCharles J. YeoRobert A. Anders
- Topics
- Pancreatic and Hepatic Oncology Research (306 papers)Cancer Genomics and Diagnostics (117 papers)Epigenetics and DNA Methylation (69 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Anirban Maitra
551 papers receiving 50.4k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Molecular Biology 26.6k
- Oncology 25.8k
- Cancer Research 14.4k
- Surgery 8.6k
- Epidemiology 5.5k
Countries citing papers authored by Anirban Maitra
This map shows the geographic impact of Anirban Maitra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anirban Maitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirban Maitra more than expected).
Fields of papers citing papers by Anirban Maitra
This network shows the impact of papers produced by Anirban Maitra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anirban Maitra. The network helps show where Anirban Maitra may publish in the future.
Co-authorship network of co-authors of Anirban Maitra
This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Maitra. A scholar is included among the top collaborators of Anirban Maitra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anirban Maitra. Anirban Maitra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 17 | |
| 4 | 12 | |
| 5 | 22 | |
| 6 | 258 | |
| 7 | 32 | |
| 8 | 64 | |
| 9 | 67 | |
| 10 | 126 | |
| 11 | 54 | |
| 12 | DAXX / ATRX , MEN1 , and mTOR Pathway Genes Are Frequently Altered in Pancreatic Neuroendocrine Tumorsbreakdown → | 1244 |
| 13 | 60 | |
| 14 | 240 | |
| 15 | 128 | |
| 16 | 69 | |
| 17 | Inhibition of lactate dehydrogenase A induces oxidative stress and inhibits tumor progressionbreakdown → | 1169 |
| 18 | 34 | |
| 19 | 66 | |
| 20 | 0 |
About Anirban Maitra
Anirban Maitra is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 564 papers that have together received 51.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (306 papers), Cancer Genomics and Diagnostics (117 papers) and Epigenetics and DNA Methylation (69 papers). The work is most often cited by research in Cancer Research (14.4k citations), Oncology (25.8k citations) and Molecular Biology (26.6k citations). Anirban Maitra has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Ralph H. Hruban, Michael Goggins, Georg Feldmann, Christine A. Iacobuzio–Donahue, Steven D. Leach, Duojia Pan, Charles J. Yeo, Robert A. Anders, Richard D. Schulick and Raheela Ashfaq. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.