Aurobindo Chatterjee
Impact in
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- Genetic Associations and Epidemiology
- Animal Genetics and Reproduction
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Pluripotent Stem Cells Research 2
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Genetics 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Animal Genetics and Reproduction 1
- Co-authors
- Katherine M. Dains (2 shared papers)James D. Cavalcoli (2 shared papers)Della Yee (1 shared paper)Terry Magnuson (1 shared paper)Richard P. Woychik (1 shared paper)Yijing Chen (1 shared paper)Elizabeth Schneider (1 shared paper)Lawrence W. Castellani (2 shared papers)
- Journals
- Genomics (4 papers)Mammalian Genome (2 papers)Nature Genetics (2 papers)Circulation Cardiovascular Genetics (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Aurobindo Chatterjee
12 papers receiving 577 citations
Peers
Comparison fields: 5 of 74
- Genetics 158
- Aging 10
- Molecular Biology 353
- Pharmacology 39
- Cell Biology 56
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 | 192 | |
| 2 | 2010 | 188 | |
| 3 | 2000 | 120 | |
| 4 | 2004 | 18 | |
| 5 | 2011 | 16 | |
| 6 | 1994 | 16 | |
| 7 | 1994 | 12 | |
| 8 | 2002 | 11 | |
| 9 | 1996 | 9 | |
| 10 | 1993 | 9 | |
| 11 | 1995 | 8 | |
| 12 | 2011 | 1 |
About Aurobindo Chatterjee
Aurobindo Chatterjee is a scholar working on Molecular Biology, Genetics, Surgery, Social Psychology and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 600 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (2 papers), Pluripotent Stem Cells Research (2 papers), RNA Research and Splicing (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (158 citations), Aging (10 citations), Molecular Biology (353 citations), Pharmacology (39 citations) and Cell Biology (56 citations). Aurobindo Chatterjee has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Katherine M. Dains, James D. Cavalcoli, Della Yee, Terry Magnuson, Richard P. Woychik, Yijing Chen, Elizabeth Schneider, Lawrence W. Castellani, Aldons J. Lusis and Craig Hyde. Their work appears in journals such as Genomics, Mammalian Genome, Nature Genetics, Circulation Cardiovascular Genetics and Arteriosclerosis Thrombosis and Vascular Biology.
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.