Jon M. Steichen
Impact in
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Phosphodiesterase function and regulation
- RNA Interference and Gene Delivery
- Virology top 10%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 7
- RNA Interference and Gene Delivery 2
-
- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- Co-authors
- Susan S. Taylor (7 shared papers)Malik M. Keshwani (4 shared papers)Alexandr P. Kornev (3 shared papers)Ping Zhang (1 shared paper)Thomas D. Sharkey (3 shared papers)Michael S. Deal (4 shared papers)Yan Lu (2 shared papers)Yurong Guo (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular Therapy (2 papers)Journal of Molecular Biology (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Planta (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Jon M. Steichen
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 750
- Virology 44
- Immunology 177
- Cell Biology 106
- Biotechnology 55
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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 238 | |
| 2 | 2018 | 218 | |
| 3 | 2012 | 183 | |
| 4 | 2012 | 78 | |
| 5 | 2013 | 73 | |
| 6 | 2006 | 73 | |
| 7 | 2009 | 67 | |
| 8 | 2012 | 46 | |
| 9 | 2008 | 39 | |
| 10 | 2011 | 36 | |
| 11 | 2006 | 35 | |
| 12 | 2018 | 25 | |
| 13 | 2025 | 19 | |
| 14 | 2023 | 7 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 |
About Jon M. Steichen
Jon M. Steichen is a scholar working on Molecular Biology, Immunology, Virology, Materials Chemistry and Plant Science, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Enzyme Structure and Function (4 papers), Immunotherapy and Immune Responses (4 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (3 papers), RNA Interference and Gene Delivery (2 papers), Enzyme Production and Characterization (2 papers) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Molecular Biology (750 citations), Virology (44 citations), Immunology (177 citations), Cell Biology (106 citations) and Biotechnology (55 citations). Jon M. Steichen has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Susan S. Taylor, Malik M. Keshwani, Alexandr P. Kornev, Ping Zhang, Thomas D. Sharkey, Michael S. Deal, Yan Lu, Yurong Guo, William R. Schief and Jian Yao. Their work appears in journals such as Journal of Biological Chemistry, Molecular Therapy, Journal of Molecular Biology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Planta.
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.