Eric Jain
Impact in
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- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
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- Advanced Proteomics Techniques and Applications
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 4
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
- Gene expression and cancer classification 1
- DNA and Biological Computing 1
- Genomics and Phylogenetic Studies 1
- Co-authors
- Séverine Duvaud (1 shared paper)Elisabeth Gasteiger (1 shared paper)Isabelle Q. Phan (1 shared paper)Nicole Redaschi (1 shared paper)Barış Ethem Süzek (1 shared paper)Maria Jesus Martin (1 shared paper)Amos Bairoch (1 shared paper)Peter B. McGarvey (1 shared paper)
- Journals
- Trends in biotechnology (3 papers)BMC Bioinformatics (1 paper)Pharmacogenomics (1 paper)PubMed (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Eric Jain
5 papers receiving 424 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 308
- Spectroscopy 46
- Computational Theory and Mathematics 38
- Biotechnology 17
- Information Systems and Management 12
Countries citing papers authored by Eric Jain
This map shows the geographic impact of Eric Jain'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 Eric Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Jain more than expected).
Fields of papers citing papers by Eric Jain
This network shows the impact of papers produced by Eric Jain. 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 Eric Jain. The network helps show where Eric Jain may publish in the future.
Co-authors
The 9 scholars most cited alongside Eric Jain, 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 | 2009 | 406 | |
| 2 | 2003 | 28 | |
| 3 | 2002 | 4 | |
| 4 | 2001 | 3 | |
| 5 | 2002 | 2 | |
| 6 | Distributed computing in bioinformatics. | 2002 | 1 |
About Eric Jain
Eric Jain is a scholar working on Molecular Biology, Insect Science, Renewable Energy, Sustainability and the Environment, Obstetrics and Gynecology and Anesthesiology and Pain Medicine, having authored 6 papers that have together received 444 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (4 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Bioinformatics (2 papers), Gene expression and cancer classification (1 paper), DNA and Biological Computing (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Molecular Biology (308 citations), Spectroscopy (46 citations), Computational Theory and Mathematics (38 citations), Biotechnology (17 citations) and Information Systems and Management (12 citations). Eric Jain has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Séverine Duvaud, Elisabeth Gasteiger, Isabelle Q. Phan, Nicole Redaschi, Barış Ethem Süzek, Maria Jesus Martin, Amos Bairoch, Peter B. McGarvey and Kewal K. Jain. Their work appears in journals such as Trends in biotechnology, BMC Bioinformatics, Pharmacogenomics and PubMed.
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.