Jon E. Peterson
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 3
- Advanced Biosensing Techniques and Applications 2
- Oncology 7
- PARP inhibition in cancer therapy 3
- Co-authors
- Joseph E. Italiano (3 shared papers)Judah Folkman (3 shared papers)Giannoula Klement (3 shared papers)David Zurakowski (2 shared papers)Lea Michel (2 shared papers)D J Graves (3 shared papers)Robert J. D’Amato (1 shared paper)Susan L. Connors (1 shared paper)
- Journals
- Bioanalysis (3 papers)The AAPS Journal (3 papers)Journal of Biological Chemistry (2 papers)Transfusion (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesGermanyVietnam
In The Last Decade
Jon E. Peterson
22 papers receiving 727 citations
Peers
Comparison fields: 5 of 90
- Internal Medicine 53
- Physiology 67
- Oncology 310
- Hematology 126
- Immunology 148
Countries citing papers authored by Jon E. Peterson
This map shows the geographic impact of Jon E. Peterson'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 E. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon E. Peterson more than expected).
Fields of papers citing papers by Jon E. Peterson
This network shows the impact of papers produced by Jon E. Peterson. 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 E. Peterson. The network helps show where Jon E. Peterson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon E. Peterson, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 206 | |
| 2 | 2010 | 140 | |
| 3 | 2007 | 125 | |
| 4 | 1990 | 57 | |
| 5 | 1990 | 43 | |
| 6 | 2003 | 38 | |
| 7 | 1992 | 34 | |
| 8 | 1991 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2012 | 13 | |
| 12 | 1997 | 11 | |
| 13 | 2015 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 1999 | 6 | |
| 16 | 1989 | 6 | |
| 17 | 1958 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 3 |
About Jon E. Peterson
Jon E. Peterson is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 23 papers that have together received 761 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), PARP inhibition in cancer therapy (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Hepatitis B Virus Studies (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Hepatitis C virus research (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Internal Medicine (53 citations), Physiology (67 citations), Oncology (310 citations), Hematology (126 citations) and Immunology (148 citations). Jon E. Peterson has collaborated with scholars based in United States, Germany and Vietnam. Frequent co-authors include Joseph E. Italiano, Judah Folkman, Giannoula Klement, David Zurakowski, Lea Michel, D J Graves, Robert J. D’Amato, Susan L. Connors, David J. Hannapel and Sang-Gon Suh. Their work appears in journals such as Bioanalysis, The AAPS Journal, Journal of Biological Chemistry, Transfusion and Biochemical and Biophysical Research Communications.
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.