Eric Jain
Impact in
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- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
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- Computational Drug Discovery Methods
Papers in ⓘ
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- Genetics, Bioinformatics, and Biomedical Research 4
- Genomics and Phylogenetic Studies 2
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
- Biomedical Text Mining and Ontologies 1
- DNA and Biological Computing 1
- Co-authors
- Isabelle Phan (1 shared paper)Séverine Duvaud (1 shared paper)Elisabeth Gasteiger (1 shared paper)Amos Bairoch (1 shared paper)Peter B. McGarvey (1 shared paper)Barış Ethem Süzek (1 shared paper)María Martin (1 shared paper)Nicole Redaschi (1 shared paper)
- Journals
- Trends in biotechnology (3 papers)Pharmacogenomics (1 paper)BMC Bioinformatics (1 paper)PubMed (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Eric Jain
5 papers receiving 395 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 312
- Computational Theory and Mathematics 40
- Spectroscopy 41
- Biotechnology 17
- Endocrinology 9
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 | 383 | |
| 2 | 2003 | 23 | |
| 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, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 6 papers that have together received 416 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (4 papers), Genomics and Phylogenetic Studies (2 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Bioinformatics (2 papers), Biomedical Text Mining and Ontologies (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Molecular Biology (312 citations), Computational Theory and Mathematics (40 citations), Spectroscopy (41 citations), Biotechnology (17 citations) and Endocrinology (9 citations). Eric Jain has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Isabelle Phan, Séverine Duvaud, Elisabeth Gasteiger, Amos Bairoch, Peter B. McGarvey, Barış Ethem Süzek, María Martin, Nicole Redaschi and Kewal K. Jain. Their work appears in journals such as Trends in biotechnology, Pharmacogenomics, BMC Bioinformatics 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.