Peter J. Munson
Impact in
- Cellular and Molecular Neuroscience top 0.1%
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Behavioral Neuroscience top 0.5%
- Stress Responses and Cortisol
Papers in
-
- Protein Structure and Dynamics 15
- Receptor Mechanisms and Signaling 15
- RNA Research and Splicing 12
- RNA modifications and cancer 11
- Machine Learning in Bioinformatics 10
- Molecular Biology Techniques and Applications 10
- Co-authors
- David RodbardAndré DeLÉANJennifer J. BarbLynn YoungNalini RaghavachariRobert L. DannerPhilip G. McQueenTom Misteli
- Journals
- Blood (9 papers)PLoS ONE (7 papers)Analytical Biochemistry (5 papers)The Journal of Clinical Endocrinology & Metabolism (5 papers)Physiological Genomics (5 papers)
- Partner nations
- United StatesUnited KingdomCameroon
In The Last Decade
Peter J. Munson
179 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Cellular and Molecular Neuroscience 5.2k
- Behavioral Neuroscience 908
- Molecular Biology 11.8k
- Biological Psychiatry 315
- Physiology 510
Countries citing papers authored by Peter J. Munson
This map shows the geographic impact of Peter J. Munson'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 Peter J. Munson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Munson more than expected).
Fields of papers citing papers by Peter J. Munson
This network shows the impact of papers produced by Peter J. Munson. 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 Peter J. Munson. The network helps show where Peter J. Munson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter J. Munson, 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 | 2022 | 4 | |
| 2 | 2014 | 82 | |
| 3 | 2014 | 22 | |
| 4 | 2012 | 40 | |
| 5 | 2011 | 82 | |
| 6 | 2010 | 46 | |
| 7 | 2010 | 21 | |
| 8 | 2009 | 3 | |
| 9 | 2008 | 29 | |
| 10 | 2008 | 115 | |
| 11 | 2007 | 96 | |
| 12 | 2007 | 166 | |
| 13 | 2007 | 197 | |
| 14 | The Return to Attrition: Warfare in the Late Nation-State Era | 2007 | 1 |
| 15 | 2006 | 19 | |
| 16 | 2005 | 47 | |
| 17 | 2004 | 85 | |
| 18 | Parallel Multiple Sequence Alignment Using Speculative Computation. | 1995 | 3 |
| 19 | A Personal-Computer-Based System for Acquisition and Analysis of Radioimmunoassay Data. | 1985 | 1 |
| 20 | 1980 | 38 |
About Peter J. Munson
Peter J. Munson is a scholar working on Behavioral Neuroscience, Molecular Biology, Cancer Research, Immunology and Statistics and Probability, having authored 181 papers that have together received 20.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Receptor Mechanisms and Signaling (15 papers), RNA Research and Splicing (12 papers), Enzyme Structure and Function (11 papers), RNA modifications and cancer (11 papers), Machine Learning in Bioinformatics (10 papers), Computational Drug Discovery Methods (10 papers) and Molecular Biology Techniques and Applications (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.2k citations), Behavioral Neuroscience (908 citations), Molecular Biology (11.8k citations), Biological Psychiatry (315 citations) and Physiology (510 citations). Peter J. Munson has collaborated with scholars based in United States, United Kingdom and Cameroon. Frequent co-authors include David Rodbard, André DeLÉAN, Jennifer J. Barb, Lynn Young, Nalini Raghavachari, Robert L. Danner, Philip G. McQueen, Tom Misteli, Lance A. Liotta and Luis A. Parada. Their work appears in journals such as Blood, PLoS ONE, Analytical Biochemistry, The Journal of Clinical Endocrinology & Metabolism and Physiological Genomics.
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.