Joel Sevinsky
- Molecular Biology top 10%
- Spectroscopy top 1%
- Infectious Diseases top 5%
- Modeling and Simulation top 2%
- Immunology
- Co-authors
- Natalie G. AhnKatheryn A. ResingWilliam M. OldKaren Meyer-ArendtAndrew GorzalskiMark PandoriSubhash C. VermaRichard Tillett
- Topics
- SARS-CoV-2 and COVID-19 Research (8 papers)Advanced Proteomics Techniques and Applications (8 papers)Mass Spectrometry Techniques and Applications (6 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Joel Sevinsky
24 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 963
- Spectroscopy 702
- Infectious Diseases 534
- Modeling and Simulation 129
- Immunology 112
Countries citing papers authored by Joel Sevinsky
This map shows the geographic impact of Joel Sevinsky'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 Joel Sevinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Sevinsky more than expected).
Fields of papers citing papers by Joel Sevinsky
This network shows the impact of papers produced by Joel Sevinsky. 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 Joel Sevinsky. The network helps show where Joel Sevinsky may publish in the future.
Co-authorship network of co-authors of Joel Sevinsky
This figure shows the co-authorship network connecting the top 25 collaborators of Joel Sevinsky. A scholar is included among the top collaborators of Joel Sevinsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joel Sevinsky. Joel Sevinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | Genomic evidence for reinfection with SARS-CoV-2: a case studybreakdown → | 484 |
| 10 | 42 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 19 | |
| 14 | 41 | |
| 15 | 47 | |
| 16 | 53 | |
| 17 | 13 | |
| 18 | Comparison of Label-free Methods for Quantifying Human Proteins by Shotgun Proteomicsbreakdown → | 978 |
| 19 | Immobilized pH gradient isoelectric focusing as a first-dimension separation in shotgun proteomics. | 51 |
| 20 | 46 |
About Joel Sevinsky
Joel Sevinsky is a scholar working on Infectious Diseases, Spectroscopy and Information Systems and Management, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Advanced Proteomics Techniques and Applications (8 papers) and Mass Spectrometry Techniques and Applications (6 papers). The work is most often cited by research in Spectroscopy (702 citations), Infectious Diseases (534 citations) and Modeling and Simulation (129 citations). Joel Sevinsky has collaborated with scholars based in United States and France. Frequent co-authors include Natalie G. Ahn, Katheryn A. Resing, William M. Old, Karen Meyer-Arendt, Andrew Gorzalski, Mark Pandori, Subhash C. Verma, Richard Tillett, Paul D. Hartley and Cyprian C. Rossetto. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology and Analytical Chemistry.
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.