James J. Devenny
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology
- Surgery
- Clinical Biochemistry top 5%
- Co-authors
- Mark W. BitenskyStuart K. WilliamsMary Ann PelleymounterMary Jane CullenHelen E. GodonisLuping ChenRóger WagnerCandy Robinson
- Topics
- Metabolomics and Mass Spectrometry Studies (2 papers)Erythrocyte Function and Pathophysiology (2 papers)Adipose Tissue and Metabolism (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBiochemical and Biophysical Research Communications
- Partner nations
- United StatesGermanySweden
In The Last Decade
James J. Devenny
9 papers receiving 475 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 221
- Molecular Biology 207
- Physiology 143
- Surgery 124
- Clinical Biochemistry 78
Countries citing papers authored by James J. Devenny
This map shows the geographic impact of James J. Devenny'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 J. Devenny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Devenny more than expected).
Fields of papers citing papers by James J. Devenny
This network shows the impact of papers produced by James J. Devenny. 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 J. Devenny. The network helps show where James J. Devenny may publish in the future.
Co-authorship network of co-authors of James J. Devenny
This figure shows the co-authorship network connecting the top 25 collaborators of James J. Devenny. A scholar is included among the top collaborators of James J. Devenny 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 James J. Devenny. James J. Devenny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 169 | |
| 3 | 16 | |
| 4 | 66 | |
| 5 | Tumor biology: use of tiled images in conjunction with measurements of cellular proliferation and death in response to drug treatments. | 8 |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 104 | |
| 9 | 105 |
About James J. Devenny
James J. Devenny is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Biochemistry, having authored 9 papers that have together received 507 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (221 citations), Clinical Biochemistry (78 citations) and Biochemistry (56 citations). James J. Devenny has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Mark W. Bitensky, Stuart K. Williams, Mary Ann Pelleymounter, Mary Jane Cullen, Helen E. Godonis, Luping Chen, Róger Wagner, Candy Robinson, Dong Cheng and Anthony V. Azzara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.