P. Nelson

1.5k citations
29 papers · 1.3k · h-index 17

Impact in

    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

P. Nelson

29 papers receiving 1.2k citations

Peers

P. Nelson
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 397
  • Immunology 269
  • Developmental Neuroscience 44
  • Molecular Biology 648
  • Neurology 113
Replace Elizabeth WoldeMussie with:
Elizabeth WoldeMussie United States
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Denise M. Larson United States
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J. Gheuens Belgium
Sherry Bursztajn United States
Pamela J. Voulalas United States
Ariel M. Wilson Canada
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P. Nelson relative to Elizabeth WoldeMussie United States Elizabeth WoldeMussie's profile →
Citations per field
00.5×1.7×
Elizabeth WoldeMussie · 1×
Citations per year

Countries citing papers authored by P. Nelson

Since Specialization
Citations

This map shows the geographic impact of P. Nelson'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 P. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Nelson more than expected).

Fields of papers citing papers by P. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Nelson. 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 P. Nelson. The network helps show where P. Nelson may publish in the future.

Co-authors

The 25 scholars most cited alongside P. Nelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Nelson Line = papers co-authored together P. Nelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976216
2 1969128
3 1985121
4 1978117
5 1971102
6 200166
7 197260
8 200156
9 199452
10 200351
11 198747
12 199336
13 200535
14 198433
15 198331
16 199125
17 199224
18 196715
19 198515
20 199613

About P. Nelson

P. Nelson is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Epidemiology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Ion channel regulation and function (3 papers), T-cell and Retrovirus Studies (3 papers), Multiple Sclerosis Research Studies (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (397 citations), Immunology (269 citations), Developmental Neuroscience (44 citations), Molecular Biology (648 citations) and Neurology (113 citations). P. Nelson has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Marshall W. Nirenberg, C. N. Christian, John D. Minna, Dennis J. Mitchell, Lawrence Steinman, Scott S. Zamvil, Paul J. Simpson, Marina Mata, John Peacock and Robert L. Knobler. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine, The Journal of Immunology, Molecular Psychiatry and Metabolism.

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.

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