John C. Schwartz

2.5k citations
20 papers · 2.0k · 1 hit paper · h-index 14

Impact in

  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Genetic diversity and population structure
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Mast cells and histamine

Papers in

John C. Schwartz

20 papers receiving 1.9k citations

John C. Schwartz's Hit Papers

Analyses of pig genomes provide insight into porcine demography and evolution 2012 · 1.1k citations
1.1k0+4+9Years since publication2505007501000

Peers

John C. Schwartz
Comparison fields: 5 of 76
  • Genetics 520
  • Immunology 139
  • Cellular and Molecular Neuroscience 70
  • Animal Science and Zoology 41
  • Neurology 26
Replace Makoto Mizutani with:
Makoto Mizutani Japan
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Dimos Kapetis Italy
Marcin Wawrzyniak Switzerland
Makoto Kinoshita Japan
Samar Lightfoot Germany
Huaqiang Yang China
Carole Anne Sargent United Kingdom
P. Hyttel Denmark
John E. Donello United States
John C. Schwartz relative to Makoto Mizutani Japan Makoto Mizutani's profile →
Citations per field
00.5×2×3×3.9×
Makoto Mizutani · 1×
Citations per year

Countries citing papers authored by John C. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by John C. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Schwartz. 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 C. Schwartz. The network helps show where John C. Schwartz may publish in the future.

Co-authors

The 25 scholars most cited alongside John C. Schwartz, 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 John C. Schwartz Line = papers co-authored together John C. Schwartz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Analyses of pig genomes provide insight into porcine demography and evolution
Hit paper breakdown →
20121127
2 2002305
3 2013151
4 1997102
5 200036
6 201132
7 201131
8 201829
9 201824
10 202224
11 201723
12 201917
13 201716
14 199915
15 202114
16 202314
17 20149
18 20159
19 20198
20 20167

About John C. Schwartz

John C. Schwartz is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Genetic and phenotypic traits in livestock (3 papers), Immune Cell Function and Interaction (2 papers), T-cell and B-cell Immunology (2 papers), Influenza Virus Research Studies (1 paper), Mast cells and histamine (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Genetics (520 citations), Immunology (139 citations), Cellular and Molecular Neuroscience (70 citations), Animal Science and Zoology (41 citations) and Neurology (26 citations). John C. Schwartz has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Anne Héron, Véronique Cochois, J. Tardivel‐Lacombe, Xavier Ligneau, Catherine Pillot, Michael P. Murtaugh, John A. Hammond, Marie‐Paule Lefranc, Monique Garbarg and M. Dam Trung Tuong. Their work appears in journals such as Immunogenetics, Frontiers in Immunology, Neuroscience, International Journal of Antimicrobial Agents and Nature.

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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