John M. Proctor
Impact in
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- Neuroscience and Neuropharmacology Research
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Gene expression and cancer classification 1
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- Cell Adhesion Molecules Research 2
- Co-authors
- Louis F. Reichardt (2 shared papers)Hui Zhang (1 shared paper)Farrukh A. Chaudhry (1 shared paper)Jon Storm‐Mathisen (1 shared paper)David Sulzer (1 shared paper)Jonathon L. Burman (1 shared paper)David R. Copenhagen (1 shared paper)Robert T. Fremeau (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Neuroscience (1 paper)Combinatorial Chemistry & High Throughput Screening (1 paper)Nature (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
John M. Proctor
6 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 440
- Immunology and Allergy 131
- Immunology 335
- Developmental Neuroscience 45
- Endocrine and Autonomic Systems 61
Countries citing papers authored by John M. Proctor
This map shows the geographic impact of John M. Proctor'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 John M. Proctor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Proctor more than expected).
Fields of papers citing papers by John M. Proctor
This network shows the impact of papers produced by John M. Proctor. 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 John M. Proctor. The network helps show where John M. Proctor may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. Proctor, 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 | 2002 | 485 | |
| 2 | 2007 | 425 | |
| 3 | 2005 | 143 | |
| 4 | 2009 | 16 | |
| 5 | 2014 | 10 | |
| 6 | 2013 | 6 |
About John M. Proctor
John M. Proctor is a scholar working on Molecular Biology, Immunology and Allergy, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Animal Science and Zoology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Gene expression and cancer classification (1 paper), T-cell and B-cell Immunology (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Pharmacological Effects and Assays (1 paper), Photoreceptor and optogenetics research (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (440 citations), Immunology and Allergy (131 citations), Immunology (335 citations), Developmental Neuroscience (45 citations) and Endocrine and Autonomic Systems (61 citations). John M. Proctor has collaborated with scholars based in United States and Norway. Frequent co-authors include Louis F. Reichardt, Hui Zhang, Farrukh A. Chaudhry, Jon Storm‐Mathisen, David Sulzer, Jonathon L. Burman, David R. Copenhagen, Robert T. Fremeau, Robert H. Edwards and Richard J. Reimer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience, Combinatorial Chemistry & High Throughput Screening, Nature and Nature Methods.
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.