Jon E. Peterson
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Hematology top 5%
- Platelet Disorders and Treatments
Papers in
-
- Hepatitis C virus research 5
- Hepatitis Viruses Studies and Epidemiology 2
-
- Biosimilars and Bioanalytical Methods 6
- Co-authors
- Judah Folkman (3 shared papers)Joseph E. Italiano (3 shared papers)Giannoula Lakka Klement (3 shared papers)Lea Michel (2 shared papers)David Zurakowski (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)Transfusion (2 papers)Journal of Biological Chemistry (2 papers)Blood (1 paper)
- Partner nations
- United StatesFranceVietnam
In The Last Decade
Jon E. Peterson
21 papers receiving 734 citations
Peers
Comparison fields: 5 of 67
- Physiology 51
- Hematology 162
- Hepatology 60
- Oncology 142
- Urology 31
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 | 211 | |
| 2 | 2010 | 140 | |
| 3 | 2007 | 127 | |
| 4 | 1990 | 56 | |
| 5 | 1990 | 43 | |
| 6 | 2003 | 36 | |
| 7 | 1992 | 33 | |
| 8 | 2001 | 18 | |
| 9 | 2017 | 16 | |
| 10 | 1991 | 15 | |
| 11 | 2018 | 14 | |
| 12 | 2015 | 11 | |
| 13 | 1997 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 7 | |
| 16 | 1989 | 6 | |
| 17 | 1999 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 3 |
About Jon E. Peterson
Jon E. Peterson is a scholar working on Hepatology, Immunology, Molecular Biology, Spectroscopy and Hematology, having authored 22 papers that have together received 771 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (6 papers), Hepatitis C virus research (5 papers), Biochemical and Molecular Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Clinical Laboratory Practices and Quality Control (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Physiology (51 citations), Hematology (162 citations), Hepatology (60 citations), Oncology (142 citations) and Urology (31 citations). Jon E. Peterson has collaborated with scholars based in United States, France and Vietnam. Frequent co-authors include Judah Folkman, Joseph E. Italiano, Giannoula Lakka Klement, Lea Michel, David Zurakowski, D J Graves, Robert J. D’Amato, Susan L. Connors, Elise R. Bender and Sang-Gon Suh. Their work appears in journals such as Bioanalysis, The AAPS Journal, Transfusion, Journal of Biological Chemistry and Blood.
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.