Thomas Grussenmeyer

807 citations
29 papers · 725 · h-index 15

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Complement system in diseases
    • Immunotherapy and Immune Responses
    • Polyomavirus and related diseases

Papers in

Thomas Grussenmeyer

29 papers receiving 678 citations

Peers

Thomas Grussenmeyer
Comparison fields: 5 of 79
  • Immunology 196
  • Oncology 156
  • Molecular Biology 356
  • Immunology and Allergy 23
  • Nephrology 27
Replace Deborah J. Stauber with:
Deborah J. Stauber United States
Mike Maillasson France
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Martina Schwarzkopf United States
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Perry Kannan United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Grussenmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Grussenmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985213
2 199548
3 201144
4 199840
5 199538
6 201536
7 200930
8 198729
9 198225
10 200025
11 201519
12 200419
13
Comparison of the effects of various clinically applied mistletoe preparations on peripheral blood leukocytes.
199818
14 199617
15 200014
16 199514
17 199213
18 199912
19 201912
20 20069

About Thomas Grussenmeyer

Thomas Grussenmeyer is a scholar working on Molecular Biology, Oncology, Immunology, Spectroscopy and Surgery, having authored 29 papers that have together received 725 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Polyomavirus and related diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Immunology (196 citations), Oncology (156 citations), Molecular Biology (356 citations), Immunology and Allergy (23 citations) and Nephrology (27 citations). Thomas Grussenmeyer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include K H Scheidtmann, Gernot Walter, Walter Eckhart, M A Hutchinson, Ulrich Wetterauer, Ivan Lefkovits, Wolfgang Schultze‐Seemann, J. Engelbert Gessner, Ursula Elsässer‐Beile and Waldemar Kolanus. Their work appears in journals such as Journal of Proteome Research, Journal of Biological Chemistry, Journal of Virology, Journal of Bacteriology and Biotechnology and Bioengineering.

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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