Jay M. Jones
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
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- S100 Proteins and Annexins
- Receptor Mechanisms and Signaling
Papers in
-
- S100 Proteins and Annexins 5
- Cell death mechanisms and regulation 2
- Machine Learning in Bioinformatics 2
- Metabolomics and Mass Spectrometry Studies 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Harry T. Haigler (5 shared papers)David D. Schlaepfer (3 shared papers)Stephen Adams (1 shared paper)Roger Y. Tsien (1 shared paper)J. Fallon (1 shared paper)Peter Christmas (1 shared paper)Leonie Callaway (1 shared paper)Roger Heim (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)SLAS DISCOVERY (1 paper)Journal of Molecular Neuroscience (1 paper)Biochemistry (1 paper)Trends in Biochemical Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Jay M. Jones
9 papers receiving 649 citations
Peers
Comparison fields: 5 of 81
- Biophysics 85
- Molecular Biology 544
- Cell Biology 105
- Immunology and Allergy 26
- Hematology 38
Countries citing papers authored by Jay M. Jones
This map shows the geographic impact of Jay M. Jones'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 Jay M. Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay M. Jones more than expected).
Fields of papers citing papers by Jay M. Jones
This network shows the impact of papers produced by Jay M. Jones. 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 Jay M. Jones. The network helps show where Jay M. Jones may publish in the future.
Co-authors
The 21 scholars most cited alongside Jay M. Jones, 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 | 2000 | 196 | |
| 2 | 1991 | 160 | |
| 3 | 1992 | 131 | |
| 4 | 2000 | 63 | |
| 5 | 1992 | 44 | |
| 6 | 1989 | 33 | |
| 7 | 1998 | 31 | |
| 8 | 1992 | 13 | |
| 9 | 2001 | 8 |
About Jay M. Jones
Jay M. Jones is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biophysics, Organic Chemistry and Pharmacology, having authored 9 papers that have together received 679 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (5 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Computational Drug Discovery Methods (2 papers), Cell death mechanisms and regulation (2 papers), Machine Learning in Bioinformatics (2 papers), Click Chemistry and Applications (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Biophysics (85 citations), Molecular Biology (544 citations), Cell Biology (105 citations), Immunology and Allergy (26 citations) and Hematology (38 citations). Jay M. Jones has collaborated with scholars based in United States. Frequent co-authors include Harry T. Haigler, David D. Schlaepfer, Stephen Adams, Roger Y. Tsien, J. Fallon, Peter Christmas, Leonie Callaway, Roger Heim, Brian A. Pollok and Eric Hare. Their work appears in journals such as Journal of Biological Chemistry, SLAS DISCOVERY, Journal of Molecular Neuroscience, Biochemistry and Trends in Biochemical Sciences.
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.