John C. L. Erve
- Molecular Biology
- Pharmacology top 1%
- Spectroscopy top 5%
- Oncology
- Computational Theory and Mathematics top 5%
- Co-authors
- Rasmy TalaatWilliam DeMaioCharles L. CrespiAndre DandeneauDavid M. StresserAndrew P. BlanchardStephanie D. TurnerVaughn P. Miller
- Topics
- Metabolomics and Mass Spectrometry Studies (5 papers)Mass Spectrometry Techniques and Applications (5 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Cited by
- PharmacologySpectroscopyToxicology
- Journals
- Journal of Medicinal ChemistryJournal of Neuropathology & Experimental NeurologyChemical Research in Toxicology
- Partner nations
- United StatesDenmarkSpain
In The Last Decade
John C. L. Erve
26 papers receiving 989 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 371
- Pharmacology 367
- Spectroscopy 226
- Oncology 140
- Computational Theory and Mathematics 116
Countries citing papers authored by John C. L. Erve
This map shows the geographic impact of John C. L. Erve'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 John C. L. Erve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. L. Erve more than expected).
Fields of papers citing papers by John C. L. Erve
This network shows the impact of papers produced by John C. L. Erve. 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 John C. L. Erve. The network helps show where John C. L. Erve may publish in the future.
Co-authorship network of co-authors of John C. L. Erve
This figure shows the co-authorship network connecting the top 25 collaborators of John C. L. Erve. A scholar is included among the top collaborators of John C. L. Erve 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 John C. L. Erve. John C. L. Erve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 11 | |
| 3 | 24 | |
| 4 | 28 | |
| 5 | 20 | |
| 6 | 21 | |
| 7 | 5 | |
| 8 | 51 | |
| 9 | 29 | |
| 10 | 54 | |
| 11 | 115 | |
| 12 | 24 | |
| 13 | 31 | |
| 14 | 20 | |
| 15 | 14 | |
| 16 | 220 | |
| 17 | 14 | |
| 18 | Covalent modification of hemoglobin by carbon disulfide: III. A potential biomarker of effect. | 12 |
| 19 | 10 | |
| 20 | 9 |
About John C. L. Erve
John C. L. Erve is a scholar working on Pharmacology, Biological Psychiatry and Cell Biology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Pharmacology (367 citations), Spectroscopy (226 citations) and Toxicology (30 citations). John C. L. Erve has collaborated with scholars based in United States, Denmark and Spain. Frequent co-authors include Rasmy Talaat, William DeMaio, Charles L. Crespi, Andre Dandeneau, David M. Stresser, Andrew P. Blanchard, Stephanie D. Turner, Vaughn P. Miller, Yongdong Wang and M. F. Gu. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Neuropathology & Experimental Neurology and Chemical Research in Toxicology.
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.