David A. Leinster

1.7k citations
7 papers · 1.1k · h-index 6

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Ovarian cancer diagnosis and treatment

Papers in

    • Cytokine Signaling Pathways and Interactions 3
    • Cancer Cells and Metastasis 1
    • Immune cells in cancer 2
    • Macrophage Migration Inhibitory Factor 1
    • Reproductive System and Pregnancy 1

David A. Leinster

7 papers receiving 1.1k citations

Peers

David A. Leinster
Comparison fields: 5 of 81
  • Immunology 448
  • Reproductive Medicine 143
  • Oncology 437
  • Cancer Research 212
  • Molecular Biology 346
Replace Luigi Manenti with:
Luigi Manenti United States
Ivraym B. Barsoum Canada
Mélanie Mestdagt Belgium
Caroline H. Diep United States
Kai Doberstein Germany
Tsuyoshi Takahashi Japan
Steven Rakar Australia
Evelyn N. Garrett United States
Aiqin Gao China
Suha Deen United Kingdom
David A. Leinster relative to Luigi Manenti United States Luigi Manenti's profile →
Citations per field
00.5×4.7×
Luigi Manenti · 1×
Citations per year

Countries citing papers authored by David A. Leinster

Since Specialization
Citations

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

Fields of papers citing papers by David A. Leinster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Leinster. 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 David A. Leinster. The network helps show where David A. Leinster may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2005349
2 2011316
3 2015196
4 2011173
5 201251
6 201319
7 20101

About David A. Leinster

David A. Leinster is a scholar working on Oncology, Immunology, Molecular Biology, Reproductive Medicine and Pathology and Forensic Medicine, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Immune cells in cancer (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Cell Adhesion Molecules Research (1 paper), Macrophage Migration Inhibitory Factor (1 paper), Reproductive System and Pregnancy (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Immunology (448 citations), Reproductive Medicine (143 citations), Oncology (437 citations), Cancer Research (212 citations) and Molecular Biology (346 citations). David A. Leinster has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Frances R. Balkwill, Hagen Kulbe, Thorsten Hagemann, Kellie A. Charles, R. Thompson, Julia L. Wilson, Ningfeng Fiona Li, Florian Klemm, Tobias Pukrop and Claudia R. Binder. Their work appears in journals such as Cancer Research, Clinical Cancer Research, The FASEB Journal, The Journal of Immunology and The Journal of Pathology.

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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