Chad Vickers
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- Renin-Angiotensin System Studies 2
- Pharmacology top 2%
- Genetics top 5%
- Glioma Diagnosis and Treatment 2
- Infectious Diseases top 5%
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- Cancer, Hypoxia, and Metabolism 3
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- Mitochondrial Function and Pathology 2
- Metabolomics and Mass Spectrometry Studies 1
- Protein Structure and Dynamics 1
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- Mass Spectrometry Techniques and Applications 2
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- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Virendar K. KaushikJames M. GavinPaul HalesMichael A. PatanePeter J. TumminoAndrew J. NicholsThomas F. ParsonsJin Tang
- Journals
- Cancer Research (2 papers)SLAS DISCOVERY (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Chad Vickers
9 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cardiology and Cardiovascular Medicine 759
- Endocrinology, Diabetes and Metabolism 510
- Pharmacology 400
- Genetics 233
- Infectious Diseases 309
Countries citing papers authored by Chad Vickers
This map shows the geographic impact of Chad Vickers'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 Chad Vickers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Vickers more than expected).
Fields of papers citing papers by Chad Vickers
This network shows the impact of papers produced by Chad Vickers. 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 Chad Vickers. The network helps show where Chad Vickers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chad Vickers, 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 | 2018 | 71 | |
| 2 | 2014 | 211 | |
| 3 | IDH1 Mutations Alter Citric Acid Cycle Metabolism and Increase Dependence on Oxidative Mitochondrial Metabolism | 2014 | 83 |
| 4 | 2014 | 2 | |
| 5 | 2010 | 11 | |
| 6 | 2009 | 75 | |
| 7 | 2007 | 64 | |
| 8 | Hydrolysis of Biological Peptides by Human Angiotensin-converting Enzyme-related Carboxypeptidasebreakdown → | 2002 | 1139 |
| 9 | 2002 | 145 |
About Chad Vickers
Chad Vickers is a scholar working on Genetics, Cancer Research, Biochemistry, Spectroscopy and Molecular Biology, having authored 9 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Mitochondrial Function and Pathology (2 papers), Glioma Diagnosis and Treatment (2 papers), Renin-Angiotensin System Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (759 citations), Endocrinology, Diabetes and Metabolism (510 citations), Pharmacology (400 citations), Genetics (233 citations) and Infectious Diseases (309 citations). Chad Vickers has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Virendar K. Kaushik, James M. Gavin, Paul Hales, Michael A. Patane, Peter J. Tummino, Andrew J. Nichols, Thomas F. Parsons, Jin Tang, Kevin Godbout and Lawrence R. Dick. Their work appears in journals such as Cancer Research, SLAS DISCOVERY, Journal of the American Chemical Society, Analytical Chemistry and Journal of Biological 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.