Aurobindo Chatterjee
Impact in
-
- Genetic Associations and Epidemiology
- Animal Genetics and Reproduction
Papers in
-
- Peroxisome Proliferator-Activated Receptors 2
- RNA Research and Splicing 2
- Pluripotent Stem Cells Research 2
- Surgery 3
- Cholesterol and Lipid Metabolism 2
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- James D. Cavalcoli (2 shared papers)Katherine M. Dains (2 shared papers)Craig Hyde (2 shared papers)Lawrence W. Castellani (2 shared papers)Aldons J. Lusis (2 shared papers)Pieter de Jong (1 shared paper)Della Yee (1 shared paper)Sonal S. Sheth (1 shared paper)
- Journals
- Genomics (4 papers)Nature Genetics (2 papers)Mammalian Genome (2 papers)Journal of the American College of Cardiology (1 paper)Circulation Cardiovascular Genetics (1 paper)
- Partner nations
- United StatesItalyRussia
In The Last Decade
Aurobindo Chatterjee
12 papers receiving 557 citations
Peers
Comparison fields: 5 of 74
- Genetics 172
- Aging 10
- Molecular Biology 357
- Pharmacology 38
- Cancer Research 60
Countries citing papers authored by Aurobindo Chatterjee
This map shows the geographic impact of Aurobindo Chatterjee'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 Aurobindo Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurobindo Chatterjee more than expected).
Fields of papers citing papers by Aurobindo Chatterjee
This network shows the impact of papers produced by Aurobindo Chatterjee. 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 Aurobindo Chatterjee. The network helps show where Aurobindo Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurobindo Chatterjee, 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 | 2001 | 185 | |
| 2 | 2010 | 180 | |
| 3 | 2000 | 109 | |
| 4 | 2004 | 18 | |
| 5 | 1994 | 16 | |
| 6 | 2011 | 16 | |
| 7 | 1994 | 12 | |
| 8 | 2002 | 11 | |
| 9 | 1996 | 9 | |
| 10 | 1993 | 8 | |
| 11 | 1995 | 8 | |
| 12 | 2011 | 1 |
About Aurobindo Chatterjee
Aurobindo Chatterjee is a scholar working on Molecular Biology, Surgery, Genetics, Social Psychology and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 573 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Lipoproteins and Cardiovascular Health (2 papers), RNA Research and Splicing (2 papers), Pluripotent Stem Cells Research (2 papers), interferon and immune responses (1 paper), Animal Genetics and Reproduction (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Genetics (172 citations), Aging (10 citations), Molecular Biology (357 citations), Pharmacology (38 citations) and Cancer Research (60 citations). Aurobindo Chatterjee has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include James D. Cavalcoli, Katherine M. Dains, Craig Hyde, Lawrence W. Castellani, Aldons J. Lusis, Pieter de Jong, Della Yee, Sonal S. Sheth, Joe Catanese and David B. West. Their work appears in journals such as Genomics, Nature Genetics, Mammalian Genome, Journal of the American College of Cardiology and Circulation Cardiovascular Genetics.
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.