Michael Stoeck

832 citations
30 papers · 762 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

Michael Stoeck

30 papers receiving 720 citations

Peers

Michael Stoeck
Comparison fields: 5 of 81
  • Immunology 318
  • Immunology and Allergy 63
  • Oncology 172
  • Physiology 111
  • Cancer Research 56
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Katsumi Motegi Japan
Richard W. Leu United States
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Kachio Tasaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Michael Stoeck

Since Specialization
Citations

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

Fields of papers citing papers by Michael Stoeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200497
2
Preferential clonogenic deficit of CD8-positive T-lymphocytes infiltrating human solid tumors.
198891
3 198883
4 199555
5 199153
6 198952
7 200544
8 198940
9 200640
10 197840
11 198320
12 198814
13 199814
14
Altered activation pathways in T lymphocytes infiltrating human solid tumors.
198813
15 201113
16 198912
17 198511
18 199010
19 19899
20
Dexamethasone and cyclosporin A do not inhibit interleukin-15 expression in the human lung carcinoma cell line A549.
20007

About Michael Stoeck

Michael Stoeck is a scholar working on Immunology, Immunology and Allergy, Molecular Biology, Oncology and Physiology, having authored 30 papers that have together received 762 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Asthma and respiratory diseases (4 papers), TGF-β signaling in diseases (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Immunology (318 citations), Immunology and Allergy (63 citations), Oncology (172 citations), Physiology (111 citations) and Cancer Research (56 citations). Michael Stoeck has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Sylvia Miescher, Vladimir von Fliedner, Catherine Barras, Lifeng Qiao, Laurent Barrelet, Klaus Resch, Daniela S. Bundschuh, H. Robson MacDonald, RICHARD M. RIEDEL and Günther Hochhaus. Their work appears in journals such as Journal of Cellular Physiology, Immunobiology, Journal of Pharmacology and Experimental Therapeutics, International Journal of Cancer and The Journal of 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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