J. Maynard Smith

1.2k citations
8 papers · 909 · h-index 6

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 2
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 1

J. Maynard Smith

7 papers receiving 856 citations

Peers

J. Maynard Smith
Comparison fields: 5 of 99
  • Immunology 487
  • Ecological Modeling 39
  • Ecology 132
  • Transplantation 12
  • Nature and Landscape Conservation 60
Replace A. Arnaiz‐Villena with:
A. Arnaiz‐Villena Spain
L. Cynthia Watson United States
Mikiye Nakanishi United States
Anke Müller Germany
Gabriele Mohr Germany
Pascal Bouffard United States
Damien Picard France
Henri‐Alexandre Michaud France
Donald C. Thomas United States
Matteo Breno Italy
J. Maynard Smith relative to A. Arnaiz‐Villena Spain A. Arnaiz‐Villena's profile →
Citations per field
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A. Arnaiz‐Villena · 1×
Citations per year

Countries citing papers authored by J. Maynard Smith

Since Specialization
Citations

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

Fields of papers citing papers by J. Maynard Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Maynard Smith. 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 J. Maynard Smith. The network helps show where J. Maynard Smith may publish in the future.

Co-authors

The 15 scholars most cited alongside J. Maynard Smith, 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 J. Maynard Smith Line = papers co-authored together J. Maynard Smith links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About J. Maynard Smith

J. Maynard Smith is a scholar working on Immunology, Genetics, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 8 papers that have together received 909 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper) and Ethics and bioethics in healthcare (1 paper). The work is most often cited by research in Immunology (487 citations), Ecological Modeling (39 citations), Ecology (132 citations), Transplantation (12 citations) and Nature and Landscape Conservation (60 citations). J. Maynard Smith has collaborated with scholars based in United Kingdom and Netherlands. Frequent co-authors include Richard Levins, Arne N. Akbar, Mike Salmon, Malcolm H.A. Rustin, Leonie S. Taams, Len W. Poulter, Nils Chr. Stenseth, J. W. J. Bijlsma, Jean M. Fletcher and Floris P. J. G. Lafeber. Their work appears in journals such as European Journal of Immunology, The Lancet, Population Studies, Evolution and Dialnet (Universidad de la Rioja).

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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