Robert J. DeVita
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders 6
- Organic Chemistry top 5%
- Synthesis and Biological Evaluation 6
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- Growth Hormone and Insulin-like Growth Factors 6
- Biochemistry top 5%
- Reproductive Medicine top 5%
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- Biochemical and Molecular Research 7
- Cancer therapeutics and mechanisms 5
- Ubiquitin and proteasome pathways 5
- Metabolism, Diabetes, and Cancer 5
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- Pancreatic function and diabetes 6
- Co-authors
- Matthew J. WyvrattAndrew S. KendeJonathan R. YoungRoberto SánchezAndrew F. StewartKunal KumarShirly PintoMark T. Goulet
- Journals
- Bioorganic & Medicinal Chemistry Letters (20 papers)Journal of Medicinal Chemistry (7 papers)Tetrahedron Letters (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert J. DeVita
69 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Clinical Biochemistry 153
- Organic Chemistry 576
- Endocrinology, Diabetes and Metabolism 280
- Biochemistry 95
- Reproductive Medicine 103
Countries citing papers authored by Robert J. DeVita
This map shows the geographic impact of Robert J. DeVita'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 Robert J. DeVita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. DeVita more than expected).
Fields of papers citing papers by Robert J. DeVita
This network shows the impact of papers produced by Robert J. DeVita. 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 Robert J. DeVita. The network helps show where Robert J. DeVita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert J. DeVita, 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 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 54 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 89 | |
| 9 | 2019 | 40 | |
| 10 | 2018 | 36 | |
| 11 | 2016 | 92 | |
| 12 | 2014 | 7 | |
| 13 | 2010 | 8 | |
| 14 | 2009 | 14 | |
| 15 | 2007 | 11 | |
| 16 | 2007 | 24 | |
| 17 | 2006 | 13 | |
| 18 | 2004 | 18 | |
| 19 | 2000 | 18 | |
| 20 | 1999 | 53 |
About Robert J. DeVita
Robert J. DeVita is a scholar working on Clinical Biochemistry, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 71 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (7 papers), Metabolism and Genetic Disorders (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Synthesis and Biological Evaluation (6 papers), Pancreatic function and diabetes (6 papers), Cancer therapeutics and mechanisms (5 papers), Ubiquitin and proteasome pathways (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Clinical Biochemistry (153 citations), Organic Chemistry (576 citations) and Endocrinology, Diabetes and Metabolism (280 citations). Robert J. DeVita has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Matthew J. Wyvratt, Andrew S. Kende, Jonathan R. Young, Roberto Sánchez, Andrew F. Stewart, Kunal Kumar, Shirly Pinto, Mark T. Goulet, Peng Wang and Roy G. Smith. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Tetrahedron Letters, Science Translational Medicine and The Journal of Immunology.
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.