Thomas Grussenmeyer

806 citations
29 papers · 690 indexed · h-index 15

Thomas Grussenmeyer

29 papers receiving 649 citations

Peers

Thomas Grussenmeyer
Comparison fields: 5 of 82
  • Immunology 201
  • Oncology 166
  • Molecular Biology 360
  • Nephrology 30
  • Immunology and Allergy 23
Replace Deborah J. Stauber with:
Deborah J. Stauber United States
Michael S.K. Choi United Kingdom
Yoshikazu Kurosawa Japan
Maria Marx France
Stefan Michelfelder Germany
Tanja A.E. van Achterberg Netherlands
S. Park-Snyder United States
Vishal G. Warke United States
Kari Högstrand Sweden
Martina Schwarzkopf United States
Thomas Grussenmeyer relative to Deborah J. Stauber United States Deborah J. Stauber's profile →
Citations per field
00.5×1.5×1.9×
Deborah J. Stauber · 1×
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-authorship network

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
#Work
1 201911
2 201519
3 201534
4 20112
5 20116
6 201139
7 200930
8 20075
9 20076
10 20078
11 199910
12 199835
13
Comparison of the effects of various clinically applied mistletoe preparations on peripheral blood leukocytes.
199817
14 199617
15 199513
16 199536
17 19944
18 199212
19 198727
20 198224

About Thomas Grussenmeyer

Thomas Grussenmeyer is a scholar working on Immunology, Oncology, Spectroscopy, Biomaterials and Molecular Biology, having authored 29 papers that have together received 690 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Polyomavirus and related diseases (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Immunology (201 citations), Oncology (166 citations), Molecular Biology (360 citations), Nephrology (30 citations) and Immunology and Allergy (23 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, J. Engelbert Gessner, Wolfgang Schultze‐Seemann, Reinhold Schmidt and Ursula Elsässer‐Beile. Their work appears in journals such as Journal of Proteome Research, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, 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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