Michael Woll

586 citations
16 papers · 462 · h-index 8

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 1
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer survivorship and care 1

Michael Woll

14 papers receiving 444 citations

Peers

Michael Woll
Comparison fields: 5 of 47
  • Immunology 305
  • Oncology 206
  • Radiology, Nuclear Medicine and Imaging 122
  • Critical Care and Intensive Care Medicine 11
  • Molecular Biology 122
Replace Kevin S. Clive with:
Kevin S. Clive United States
Kevin Huang United States
Valeria Visconti Italy
Tatiana Lawrence United States
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Colin Phipps Diong Singapore
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Kalpana Shah United States
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Michael Woll

Since Specialization
Citations

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

Fields of papers citing papers by Michael Woll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005160
2 2008141
3 200546
4 200433
5 201321
6 200916
7 201410
8 20048
9 20017
10 20126
11 19976
12 20124
13 20052
14 20191
15 20041
16 20160

About Michael Woll

Michael Woll is a scholar working on Immunology, Oncology, Molecular Biology, Surgery and Neurology, having authored 16 papers that have together received 462 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), vaccines and immunoinformatics approaches (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Moyamoya disease diagnosis and treatment (1 paper), T-cell and B-cell Immunology (1 paper), Trauma Management and Diagnosis (1 paper) and Cancer survivorship and care (1 paper). The work is most often cited by research in Immunology (305 citations), Oncology (206 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Critical Care and Intensive Care Medicine (11 citations) and Molecular Biology (122 citations). Michael Woll has collaborated with scholars based in United States, Germany and China. Frequent co-authors include George E. Peoples, Sathibalan Ponniah, Jennifer M. Gurney, Catherine E. Storrer, Matthew T. Hueman, Constantin G. Ioannides, Christine M. Fisher, Craig D. Shriver, Zia A. Dehqanzada and Paul Brisson. Their work appears in journals such as Clinical Cancer Research, Journal of the American College of Surgeons, Journal of Clinical Oncology, International Journal of Oncology and Journal of Clinical Immunology.

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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