Jon E. Peterson
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 3
- Oncology 8
- PARP inhibition in cancer therapy 3
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Judah Folkman (3 shared papers)Joseph E. Italiano (3 shared papers)Giannoula Klement (3 shared papers)Lea Michel (2 shared papers)David Zurakowski (2 shared papers)Robert J. D’Amato (1 shared paper)Susan L. Connors (1 shared paper)D J Graves (3 shared papers)
- Journals
- Bioanalysis (3 papers)The AAPS Journal (3 papers)Journal of Biological Chemistry (2 papers)Clinical Infectious Diseases (1 paper)Transfusion (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Jon E. Peterson
21 papers receiving 667 citations
Peers
Comparison fields: 5 of 87
- Internal Medicine 53
- Physiology 57
- Oncology 308
- Hematology 124
- Immunology 150
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 191 | |
| 2 | 2010 | 128 | |
| 3 | 2007 | 120 | |
| 4 | 1990 | 50 | |
| 5 | 1990 | 40 | |
| 6 | 2003 | 36 | |
| 7 | 1992 | 31 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 1991 | 12 | |
| 11 | 1997 | 11 | |
| 12 | 2015 | 9 | |
| 13 | 2017 | 7 | |
| 14 | 1999 | 6 | |
| 15 | 1989 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2020 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 1958 | 3 | |
| 20 | 2020 | 2 |
About Jon E. Peterson
Jon E. Peterson is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 692 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (5 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), PARP inhibition in cancer therapy (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Internal Medicine (53 citations), Physiology (57 citations), Oncology (308 citations), Hematology (124 citations) and Immunology (150 citations). Jon E. Peterson has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Judah Folkman, Joseph E. Italiano, Giannoula Klement, Lea Michel, David Zurakowski, Robert J. D’Amato, Susan L. Connors, D J Graves, Sang-Gon Suh and Nava Almog. Their work appears in journals such as Bioanalysis, The AAPS Journal, Journal of Biological Chemistry, Clinical Infectious Diseases and Transfusion.
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.