Jeffrey R. Patton
- Molecular Biology top 10%
- Cancer Research top 10%
- Oncology
- Clinical Biochemistry top 10%
- Genetics
- Co-authors
- Thoru PedersonJianguang ChenNathan Fischel‐GhodsianRemco A. SpanjaardRonald J. PattersonXiansi ZhaoYelena BykhovskayaEmebet Mengesha
- Topics
- RNA modifications and cancer (24 papers)RNA Research and Splicing (23 papers)RNA and protein synthesis mechanisms (21 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Jeffrey R. Patton
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 1.1k
- Cancer Research 175
- Oncology 75
- Clinical Biochemistry 65
- Genetics 62
Countries citing papers authored by Jeffrey R. Patton
This map shows the geographic impact of Jeffrey R. Patton'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 R. Patton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. Patton more than expected).
Fields of papers citing papers by Jeffrey R. Patton
This network shows the impact of papers produced by Jeffrey R. Patton. 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 R. Patton. The network helps show where Jeffrey R. Patton may publish in the future.
Co-authorship network of co-authors of Jeffrey R. Patton
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Patton. A scholar is included among the top collaborators of Jeffrey R. Patton 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 R. Patton. Jeffrey R. Patton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 11 | |
| 3 | 20 | |
| 4 | 20 | |
| 5 | 40 | |
| 6 | 115 | |
| 7 | 5 | |
| 8 | 118 | |
| 9 | 44 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 33 | |
| 13 | 27 | |
| 14 | Immunomodulatory and toxic effects of free and liposome-encapsulated tumor necrosis factor alpha in rats. | 41 |
| 15 | 38 | |
| 16 | 39 | |
| 17 | 70 | |
| 18 | 65 | |
| 19 | 6 | |
| 20 | 11 |
About Jeffrey R. Patton
Jeffrey R. Patton is a scholar working on Molecular Biology, Clinical Biochemistry and Psychiatry and Mental health, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (24 papers), RNA Research and Splicing (23 papers) and RNA and protein synthesis mechanisms (21 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (175 citations) and Clinical Biochemistry (65 citations). Jeffrey R. Patton has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Thoru Pederson, Jianguang Chen, Nathan Fischel‐Ghodsian, Remco A. Spanjaard, Ronald J. Patterson, Xiansi Zhao, Yelena Bykhovskaya, Emebet Mengesha, Corine Bertolotto and Brian Florence. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.