Jon M. Steichen
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 20
- HIV Research and Treatment 20
-
- Protein Kinase Regulation and GTPase Signaling 7
- RNA Interference and Gene Delivery 1
- Lipid Membrane Structure and Behavior 1
- Co-authors
- Susan Serota Taylor (7 shared papers)Malik M. Keshwani (4 shared papers)Alexandr P. Kornev (3 shared papers)Ping Zhang (1 shared paper)Thomas David Sharkey (3 shared papers)Michael S. Deal (4 shared papers)Yan Lu (2 shared papers)William R. Schief (6 shared papers)
- Journals
- Immunity (7 papers)Science (4 papers)Nature Communications (3 papers)Journal of Biological Chemistry (3 papers)Science Immunology (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Jon M. Steichen
33 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 83
- Virology 1.1k
- Immunology 409
- Molecular Biology 898
- Infectious Diseases 182
- Structural Biology 14
Countries citing papers authored by Jon M. Steichen
This map shows the geographic impact of Jon M. Steichen'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 Jon M. Steichen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon M. Steichen more than expected).
Fields of papers citing papers by Jon M. Steichen
This network shows the impact of papers produced by Jon M. Steichen. 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 Jon M. Steichen. The network helps show where Jon M. Steichen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon M. Steichen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 332 | |
| 2 | 2016 | 266 | |
| 3 | 2017 | 264 | |
| 4 | 2018 | 260 | |
| 5 | 2013 | 250 | |
| 6 | 2019 | 203 | |
| 7 | 2012 | 192 | |
| 8 | 2017 | 126 | |
| 9 | 2022 | 112 | |
| 10 | 2012 | 80 | |
| 11 | 2013 | 75 | |
| 12 | 2006 | 73 | |
| 13 | 2009 | 68 | |
| 14 | 2022 | 50 | |
| 15 | 2024 | 49 | |
| 16 | 2024 | 49 | |
| 17 | 2022 | 48 | |
| 18 | 2012 | 47 | |
| 19 | 2018 | 40 | |
| 20 | 2008 | 39 |
About Jon M. Steichen
Jon M. Steichen is a scholar working on Virology, Molecular Biology, Immunology, Rheumatology and Plant Science, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), T-cell and B-cell Immunology (3 papers), Glycogen Storage Diseases and Myoclonus (2 papers), Immunotherapy and Immune Responses (2 papers), Plant nutrient uptake and metabolism (2 papers), RNA Interference and Gene Delivery (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Virology (1.1k citations), Immunology (409 citations), Molecular Biology (898 citations), Infectious Diseases (182 citations) and Structural Biology (14 citations). Jon M. Steichen has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Susan Serota Taylor, Malik M. Keshwani, Alexandr P. Kornev, Ping Zhang, Thomas David Sharkey, Michael S. Deal, Yan Lu, William R. Schief, Yurong Guo and Darrell J. Irvine. Their work appears in journals such as Immunity, Science, Nature Communications, Journal of Biological Chemistry and Science 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.