Jonathan C. Swaffield
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Retinoids in leukemia and cellular processes
- Sphingolipid Metabolism and Signaling
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Ubiquitin and proteasome pathways 6
- Glycosylation and Glycoproteins Research 3
- RNA and protein synthesis mechanisms 3
- Biochemical and Molecular Research 3
- Fungal and yeast genetics research 2
- Sphingolipid Metabolism and Signaling 2
- Oncology 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- Stephen Albert Johnston (8 shared papers)Jae Woon Lee (1 shared paper)David D. Moore (1 shared paper)Fergus Ryan (1 shared paper)Jacqueline Bromberg (1 shared paper)Karsten Melcher (2 shared papers)Carolyn R. Moomaw (1 shared paper)Clive A. Slaughter (1 shared paper)
- Journals
- Nature (4 papers)SLAS DISCOVERY (2 papers)Current Protocols in Molecular Biology (1 paper)Gene (1 paper)Journal of Molecular Evolution (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jonathan C. Swaffield
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 1.1k
- Cell Biology 221
- Genetics 360
- Oncology 207
- Virology 25
Countries citing papers authored by Jonathan C. Swaffield
This map shows the geographic impact of Jonathan C. Swaffield'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 Jonathan C. Swaffield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Swaffield more than expected).
Fields of papers citing papers by Jonathan C. Swaffield
This network shows the impact of papers produced by Jonathan C. Swaffield. 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 Jonathan C. Swaffield. The network helps show where Jonathan C. Swaffield may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan C. Swaffield, 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 | 1995 | 406 | |
| 2 | 1994 | 182 | |
| 3 | 1992 | 178 | |
| 4 | 1995 | 139 | |
| 5 | 2008 | 139 | |
| 6 | 1992 | 49 | |
| 7 | 1997 | 37 | |
| 8 | 2001 | 26 | |
| 9 | 2008 | 17 | |
| 10 | 2013 | 16 | |
| 11 | 1996 | 15 | |
| 12 | 1996 | 15 | |
| 13 | 2009 | 11 | |
| 14 | 1997 | 10 | |
| 15 | 1996 | 8 | |
| 16 | 2007 | 3 | |
| 17 | 1997 | 1 | |
| 18 | 2013 | 0 |
About Jonathan C. Swaffield
Jonathan C. Swaffield is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Infectious Diseases, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Glycosylation and Glycoproteins Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Peptidase Inhibition and Analysis (3 papers), Biochemical and Molecular Research (3 papers), Fungal and yeast genetics research (2 papers), Cellular transport and secretion (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (221 citations), Genetics (360 citations), Oncology (207 citations) and Virology (25 citations). Jonathan C. Swaffield has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stephen Albert Johnston, Jae Woon Lee, David D. Moore, Fergus Ryan, Jacqueline Bromberg, Karsten Melcher, Carolyn R. Moomaw, Clive A. Slaughter, Rita J. Proske and George Demartino. Their work appears in journals such as Nature, SLAS DISCOVERY, Current Protocols in Molecular Biology, Gene and Journal of Molecular Evolution.
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.