John Weightman

443 citations
6 papers · 282 · h-index 5

Impact in

    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer

Papers in

    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 5
    • Drug Transport and Resistance Mechanisms 1
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 1

John Weightman

6 papers receiving 280 citations

Peers

John Weightman
Comparison fields: 5 of 48
  • Oncology 215
  • Immunology 161
  • Cancer Research 45
  • Pathology and Forensic Medicine 18
  • Molecular Biology 63
Replace Carly Cardello with:
Carly Cardello United States
Ziwen Yu China
Elise Ballot France
Miles Piper United States
E. Hitt Nichols United States
Kelsey W. Nassar United States
Brenda Melendez United States
Hongyan Huang China
María Ochoa-de-Olza Spain
Henrik Aamodt Norway
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Citations per field
00.5×10×15×18.7×
Carly Cardello · 1×
Citations per year

Countries citing papers authored by John Weightman

Since Specialization
Citations

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

Fields of papers citing papers by John Weightman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2020144
2 2021116
3 20218
4 20207
5 20226
6 20211

About John Weightman

John Weightman is a scholar working on Oncology, Immunology, Molecular Biology, Cancer Research and Infectious Diseases, having authored 6 papers that have together received 282 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (3 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), Drug Transport and Resistance Mechanisms (1 paper), T-cell and B-cell Immunology (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Oncology (215 citations), Immunology (161 citations), Cancer Research (45 citations), Pathology and Forensic Medicine (18 citations) and Molecular Biology (63 citations). John Weightman has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Sara Valpione, Elena Galvani, Paul Lorigan, Richard Marais, Piyushkumar A. Mundra, Sarah Mills, L Campana, Francesco De Rosa, Nathalie Dhomen and Antonia Banyard. Their work appears in journals such as European Journal of Cancer, Nature Communications, Nature Cancer, BMC Cancer and Research Explorer (The University of Manchester).

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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