Jeff De Pons
Impact in
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- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Molecular Biology Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
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- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Bioinformatics and Genomic Networks 13
- Biomedical Text Mining and Ontologies 9
- Gene expression and cancer classification 7
- Molecular Biology Techniques and Applications 3
- Metabolomics and Mass Spectrometry Studies 2
- Genetics 6
- Genetic Mapping and Diversity in Plants and Animals 4
- Genomics and Rare Diseases 2
- Co-authors
- G. Thomas Hayman (18 shared papers)Melinda R. Dwinell (18 shared papers)Mary Shimoyama (17 shared papers)Jennifer R. Smith (17 shared papers)Stanley J. F. Laulederkind (15 shared papers)Marek Tutaj (15 shared papers)Shur‐Jen Wang (13 shared papers)Rajni Nigam (11 shared papers)
- Journals
- Database (7 papers)Human Genomics (3 papers)Journal of Biomedical Semantics (2 papers)Computational and Structural Biotechnology Journal (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- United States
In The Last Decade
Jeff De Pons
19 papers receiving 513 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 398
- Genetics 121
- Aging 6
- Cancer Research 38
- Computational Theory and Mathematics 36
Countries citing papers authored by Jeff De Pons
This map shows the geographic impact of Jeff De Pons'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 Jeff De Pons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff De Pons more than expected).
Fields of papers citing papers by Jeff De Pons
This network shows the impact of papers produced by Jeff De Pons. 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 Jeff De Pons. The network helps show where Jeff De Pons may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff De Pons, 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 | 2014 | 164 | |
| 2 | 2014 | 65 | |
| 3 | 2013 | 55 | |
| 4 | 2013 | 27 | |
| 5 | 2013 | 23 | |
| 6 | 2016 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2013 | 19 | |
| 9 | 2012 | 18 | |
| 10 | 2016 | 18 | |
| 11 | 2011 | 16 | |
| 12 | 2015 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2011 | 12 | |
| 15 | 2013 | 9 | |
| 16 | 2018 | 7 | |
| 17 | 2014 | 7 | |
| 18 | 2015 | 3 | |
| 19 | 2014 | 3 |
About Jeff De Pons
Jeff De Pons is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Small Animals, having authored 19 papers that have together received 520 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Biomedical Text Mining and Ontologies (9 papers), Gene expression and cancer classification (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Molecular Biology Techniques and Applications (3 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Rare Diseases (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Molecular Biology (398 citations), Genetics (121 citations), Aging (6 citations), Cancer Research (38 citations) and Computational Theory and Mathematics (36 citations). Jeff De Pons has collaborated with scholars based in United States. Frequent co-authors include G. Thomas Hayman, Melinda R. Dwinell, Mary Shimoyama, Jennifer R. Smith, Stanley J. F. Laulederkind, Marek Tutaj, Shur‐Jen Wang, Rajni Nigam, Victoria Petri and Elizabeth A. Worthey. Their work appears in journals such as Database, Human Genomics, Journal of Biomedical Semantics, Computational and Structural Biotechnology Journal and Disease Models & Mechanisms.
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.