Amit Bera
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- PI3K/AKT/mTOR signaling in cancer 7
- RNA modifications and cancer 4
- Renal and related cancers 3
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- Renal Diseases and Glomerulopathies 4
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Nandini Ghosh‐Choudhury (12 shared papers)Balakuntalam S. Kasinath (12 shared papers)Falguni Das (12 shared papers)Goutam Ghosh Choudhury (12 shared papers)Nirmalya Dey (5 shared papers)Hanna E. Abboud (5 shared papers)Meenalakshmi M. Mariappan (2 shared papers)Stephen M. Lewis (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Cellular Signalling (3 papers)Experimental Cell Research (3 papers)American Journal of Physiology-Cell Physiology (2 papers)The FASEB Journal (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Amit Bera
15 papers receiving 410 citations
Peers
Comparison fields: 5 of 60
- Nephrology 96
- Cancer Research 136
- Molecular Biology 292
- Aging 3
- Clinical Biochemistry 10
Countries citing papers authored by Amit Bera
This map shows the geographic impact of Amit Bera'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 Amit Bera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Bera more than expected).
Fields of papers citing papers by Amit Bera
This network shows the impact of papers produced by Amit Bera. 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 Amit Bera. The network helps show where Amit Bera may publish in the future.
Co-authors
The 17 scholars most cited alongside Amit Bera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 60 | |
| 2 | 2014 | 45 | |
| 3 | 2013 | 40 | |
| 4 | 2015 | 37 | |
| 5 | 2014 | 36 | |
| 6 | 2016 | 35 | |
| 7 | 2014 | 33 | |
| 8 | 2013 | 28 | |
| 9 | 2014 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2013 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2020 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 4 |
About Amit Bera
Amit Bera is a scholar working on Molecular Biology, Nephrology, Cancer Research, Neurology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 415 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Renal Diseases and Glomerulopathies (4 papers), RNA modifications and cancer (4 papers), Renal and related cancers (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Renal cell carcinoma treatment (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Nephrology (96 citations), Cancer Research (136 citations), Molecular Biology (292 citations), Aging (3 citations) and Clinical Biochemistry (10 citations). Amit Bera has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Nandini Ghosh‐Choudhury, Balakuntalam S. Kasinath, Falguni Das, Goutam Ghosh Choudhury, Nirmalya Dey, Hanna E. Abboud, Meenalakshmi M. Mariappan, Stephen M. Lewis, Soumya Maity and Xiao‐Nan Li. Their work appears in journals such as Journal of Biological Chemistry, Cellular Signalling, Experimental Cell Research, American Journal of Physiology-Cell Physiology and The FASEB Journal.
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.