Jeffrey D. Peterson
- Immunology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Genetics top 10%
- Co-authors
- Carl WaltenbaughKristine VasquezLeonore A. HerzenbergStephen D. MillerD. James SurmeierJun DingWilliam J. KarpusKathryn Haskins
- Topics
- Immune Cell Function and Interaction (7 papers)Optical Imaging and Spectroscopy Techniques (6 papers)Diabetes and associated disorders (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJournal of Neuroscience
- Partner nations
- United StatesItalyCanada
In The Last Decade
Jeffrey D. Peterson
57 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 127
- Immunology 793
- Molecular Biology 628
- Cellular and Molecular Neuroscience 263
- Radiology, Nuclear Medicine and Imaging 243
- Genetics 237
Countries citing papers authored by Jeffrey D. Peterson
This map shows the geographic impact of Jeffrey D. 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 Jeffrey D. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Peterson more than expected).
Fields of papers citing papers by Jeffrey D. Peterson
This network shows the impact of papers produced by Jeffrey D. 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 Jeffrey D. Peterson. The network helps show where Jeffrey D. Peterson may publish in the future.
Co-authorship network of co-authors of Jeffrey D. Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Peterson. A scholar is included among the top collaborators of Jeffrey D. Peterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey D. Peterson. Jeffrey D. Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | "America's Army-Our Profession" | 1 |
| 4 | 6 | |
| 5 | 54 | |
| 6 | 57 | |
| 7 | 105 | |
| 8 | 43 | |
| 9 | 41 | |
| 10 | Optical imaging of MMPSense as a biomarker of matrix metalloprotease activity in vivo | 1 |
| 11 | 212 | |
| 12 | 25 | |
| 13 | 53 | |
| 14 | 39 | |
| 15 | 40 | |
| 16 | 41 | |
| 17 | 71 | |
| 18 | 88 | |
| 19 | 4 | |
| 20 | 90 |
About Jeffrey D. Peterson
Jeffrey D. Peterson is a scholar working on Immunology and Allergy, Neurology and Immunology, having authored 60 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Optical Imaging and Spectroscopy Techniques (6 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Immunology (793 citations), Immunology and Allergy (109 citations) and Cellular and Molecular Neuroscience (263 citations). Jeffrey D. Peterson has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Carl Waltenbaugh, Kristine Vasquez, Leonore A. Herzenberg, Stephen D. Miller, D. James Surmeier, Jun Ding, William J. Karpus, Kathryn Haskins, Robert I. Tepper and Alisa E. Koch. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Neuroscience.
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.