Eric Jain

535 citations
6 papers · 433 · h-index 4

Impact in

    • 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
    • Advanced Proteomics Techniques and Applications

Papers in

    • Genetics, Bioinformatics, and Biomedical Research 4
    • Bioinformatics and Genomic Networks 2
    • Machine Learning in Bioinformatics 2
    • Genomics and Phylogenetic Studies 1
    • DNA and Biological Computing 1
    • Gene expression and cancer classification 1

Eric Jain

5 papers receiving 409 citations

Peers

Eric Jain
Comparison fields: 5 of 82
  • Molecular Biology 301
  • Spectroscopy 41
  • Computational Theory and Mathematics 38
  • Biotechnology 17
  • Endocrinology 8
Replace Chantal Korostensky with:
Chantal Korostensky Switzerland
Benjamin Borgo United States
Cristina Viéitez Germany
Todd J. Page United States
Gal Masrati Israel
Mark D. McDowall United Kingdom
Wolfgang Fleischmann United Kingdom
Stella Veretnik United States
Paige G. Andrew United States
Charles Christoffer United States
Eric Jain relative to Chantal Korostensky Switzerland Chantal Korostensky's profile →
Citations per field
00.5×2.7×
Chantal Korostensky · 1×
Citations per year

Countries citing papers authored by Eric Jain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric Jain Line = papers co-authored together Eric Jain links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

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 433 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), Genomics and Phylogenetic Studies (1 paper), DNA and Biological Computing (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (301 citations), Spectroscopy (41 citations), Computational Theory and Mathematics (38 citations), Biotechnology (17 citations) and Endocrinology (8 citations). Eric Jain has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Amos Bairoch, Séverine Duvaud, Elisabeth Gasteiger, Nicole Redaschi, Peter B. McGarvey, Barış Ethem Süzek, María Martin, Isabelle Phan 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.

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