Chris Pleiman
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Fungal and yeast genetics research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Signaling Pathways in Disease 1
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Carol A. Lange (2 shared papers)Gary L. Johnson (2 shared papers)Kendall Blumer (1 shared paper)Anne M. Gardner (1 shared paper)John C. Cambier (4 shared papers)Kerry S. Campbell (2 shared papers)Marcus R. Clark (2 shared papers)Sara A. Johnson (1 shared paper)
- Journals
- Science (2 papers)Immunological Reviews (1 paper)The Journal of Immunology (1 paper)PubMed (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Chris Pleiman
6 papers receiving 1.4k citations
Chris Pleiman's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 425
- Immunology and Allergy 88
- Molecular Biology 964
- Cell Biology 160
- Cancer Research 135
Countries citing papers authored by Chris Pleiman
This map shows the geographic impact of Chris Pleiman'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 Chris Pleiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Pleiman more than expected).
Fields of papers citing papers by Chris Pleiman
This network shows the impact of papers produced by Chris Pleiman. 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 Chris Pleiman. The network helps show where Chris Pleiman may publish in the future.
Co-authors
The 17 scholars most cited alongside Chris Pleiman, 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 | A Divergence in the MAP Kinase Regulatory Network Defined by MEK Kinase and Raf Hit paper breakdown → | 1993 | 1012 |
| 2 | 1992 | 277 | |
| 3 | 1993 | 50 | |
| 4 | pp56Lck mediates TCR zeta-chain binding to the microfilament cytoskeleton. | 1998 | 39 |
| 5 | 1998 | 32 | |
| 6 | 1994 | 6 |
About Chris Pleiman
Chris Pleiman is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Immunology and Allergy and Immunology, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), T-cell and B-cell Immunology (2 papers), Fungal and yeast genetics research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cellular Mechanics and Interactions (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Signaling Pathways in Disease (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (425 citations), Immunology and Allergy (88 citations), Molecular Biology (964 citations), Cell Biology (160 citations) and Cancer Research (135 citations). Chris Pleiman has collaborated with scholars based in United States. Frequent co-authors include Carol A. Lange, Gary L. Johnson, Kendall Blumer, Anne M. Gardner, John C. Cambier, Kerry S. Campbell, Marcus R. Clark, Sara A. Johnson, Terry A. Potter and W. Hertz. Their work appears in journals such as Science, Immunological Reviews, The Journal of Immunology, PubMed and Elsevier eBooks.
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.