James E. Vath
Impact in
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Sphingolipid Metabolism and Signaling
Papers in
- Spectroscopy 12
- Mass Spectrometry Techniques and Applications 12
- Advanced Proteomics Techniques and Applications 5
- Analytical Chemistry and Chromatography 4
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- Glycosylation and Glycoproteins Research 5
- Co-authors
- Wen Yu (4 shared papers)Theresa A. Addona (2 shared papers)Vlado Dančík (2 shared papers)Karl R. Clauser (2 shared papers)Catherine E. Costello (2 shared papers)Stephen A. Martin (2 shared papers)Pavel A. Pevzner (1 shared paper)K. Biemann (3 shared papers)
- Journals
- Analytical Chemistry (4 papers)Analytical Biochemistry (3 papers)JCI Insight (2 papers)Journal of Computational Biology (1 paper)Diabetes Obesity and Metabolism (1 paper)
- Partner nations
- United StatesAustraliaSlovakia
In The Last Decade
James E. Vath
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Spectroscopy 915
- Molecular Biology 923
- Biochemistry 36
- Microbiology 22
- Organic Chemistry 95
Countries citing papers authored by James E. Vath
This map shows the geographic impact of James E. Vath'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 James E. Vath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Vath more than expected).
Fields of papers citing papers by James E. Vath
This network shows the impact of papers produced by James E. Vath. 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 James E. Vath. The network helps show where James E. Vath may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Vath, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 422 | |
| 2 | 1993 | 202 | |
| 3 | 1990 | 144 | |
| 4 | 1993 | 133 | |
| 5 | 1989 | 90 | |
| 6 | 1990 | 67 | |
| 7 | 1990 | 54 | |
| 8 | 2013 | 51 | |
| 9 | 2015 | 50 | |
| 10 | 1998 | 38 | |
| 11 | 1997 | 35 | |
| 12 | 2018 | 31 | |
| 13 | 1999 | 30 | |
| 14 | 1996 | 28 | |
| 15 | 1997 | 20 | |
| 16 | 1988 | 16 | |
| 17 | 2018 | 9 | |
| 18 | 1995 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2020 | 2 |
About James E. Vath
James E. Vath is a scholar working on Spectroscopy, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (12 papers), Glycosylation and Glycoproteins Research (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Analytical Chemistry and Chromatography (4 papers), Peptidase Inhibition and Analysis (3 papers), Diabetes Treatment and Management (3 papers), Analytical chemistry methods development (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Spectroscopy (915 citations), Molecular Biology (923 citations), Biochemistry (36 citations), Microbiology (22 citations) and Organic Chemistry (95 citations). James E. Vath has collaborated with scholars based in United States, Australia and Slovakia. Frequent co-authors include Wen Yu, Theresa A. Addona, Vlado Dančík, Karl R. Clauser, Catherine E. Costello, Stephen A. Martin, Pavel A. Pevzner, K. Biemann, Jason C. Rouse and Richard S. Johnson. Their work appears in journals such as Analytical Chemistry, Analytical Biochemistry, JCI Insight, Journal of Computational Biology and Diabetes Obesity and Metabolism.
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.