Jeffrey M. Harmon
- Molecular Biology top 5%
- Genetics top 5%
- Immunology top 10%
- Cell Biology top 5%
- Oncology
- Co-authors
- E. Brad ThompsonTeresa DunnSita D. GuptaKenneth GableGongshe HanThomas J. SchmidtNiranjanakumari SomashekarappaM. R. Norman
- Topics
- Estrogen and related hormone effects (11 papers)Endoplasmic Reticulum Stress and Disease (6 papers)Receptor Mechanisms and Signaling (5 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jeffrey M. Harmon
34 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.3k
- Genetics 514
- Immunology 300
- Cell Biology 291
- Oncology 216
Countries citing papers authored by Jeffrey M. Harmon
This map shows the geographic impact of Jeffrey M. Harmon'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 Jeffrey M. Harmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Harmon more than expected).
Fields of papers citing papers by Jeffrey M. Harmon
This network shows the impact of papers produced by Jeffrey M. Harmon. 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 Jeffrey M. Harmon. The network helps show where Jeffrey M. Harmon may publish in the future.
Co-authorship network of co-authors of Jeffrey M. Harmon
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey M. Harmon. A scholar is included among the top collaborators of Jeffrey M. Harmon 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 Jeffrey M. Harmon. Jeffrey M. Harmon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 41 | |
| 3 | 42 | |
| 4 | 60 | |
| 5 | 83 | |
| 6 | 76 | |
| 7 | 23 | |
| 8 | 222 | |
| 9 | 46 | |
| 10 | 50 | |
| 11 | 60 | |
| 12 | Glucocorticoid-induced cell death requires autoinduction of glucocorticoid receptor expression in human leukemic T cells. | 90 |
| 13 | 51 | |
| 14 | 5 | |
| 15 | 101 | |
| 16 | 53 | |
| 17 | 29 | |
| 18 | 16 | |
| 19 | Non-glucocorticoid receptor-mediated effects of the potent glucocorticoid deacylcortivazol. | 13 |
| 20 | 90 |
About Jeffrey M. Harmon
Jeffrey M. Harmon is a scholar working on Genetics, Immunology and Cell Biology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Genetics (514 citations) and Cell Biology (291 citations). Jeffrey M. Harmon has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include E. Brad Thompson, Teresa Dunn, Sita D. Gupta, Kenneth Gable, Gongshe Han, Thomas J. Schmidt, Niranjanakumari Somashekarappa, M. R. Norman, Prasun Moitra and Wei Liu. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.