Thomas Brümmendorf

2.7k citations
29 papers · 1.9k · h-index 22

Impact in

Papers in

Thomas Brümmendorf

29 papers receiving 1.8k citations

Peers

Thomas Brümmendorf
Comparison fields: 5 of 100
  • Developmental Neuroscience 350
  • Immunology and Allergy 393
  • Cellular and Molecular Neuroscience 729
  • Cell Biology 493
  • Molecular Biology 993
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Kit Wong United States
Tony Evans United States
Janne Balsamo United States
Eve‐Ellen Govek United States
Vladislav V. Kiselyov Denmark
Daniela Salomon Israel
Richard Akeson United States
Medha Gautam United States
Dagmar Barthels Germany
Wolfgang Wille Germany
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Brümmendorf

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Brümmendorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Brümmendorf, 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 Brümmendorf Line = papers co-authored together Thomas Brümmendorf 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 1998216
2 1989211
3
Cell adhesion molecules 1: immunoglobulin superfamily.
1994184
4 1996163
5 1993121
6 1993109
7 200193
8 201581
9 200980
10 200568
11 201264
12 199957
13 199556
14 200648
15 199643
16 199642
17 199841
18 201340
19 200637
20 199835

About Thomas Brümmendorf

Thomas Brümmendorf is a scholar working on Molecular Biology, Immunology and Allergy, Cellular and Molecular Neuroscience, Immunology and Pathology and Forensic Medicine, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (11 papers), Axon Guidance and Neuronal Signaling (7 papers), Glycosylation and Glycoproteins Research (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Genetic factors in colorectal cancer (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Developmental Neuroscience (350 citations), Immunology and Allergy (393 citations), Cellular and Molecular Neuroscience (729 citations), Cell Biology (493 citations) and Molecular Biology (993 citations). Thomas Brümmendorf has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Fritz G. Rathjen, Susan Kenwrick, J M Wolff, Vance Lemmon, Rainer Frank, Frank Spaltmann, Attila Tárnok, Michael K. E. Schäfer, Uli Schwarz and Gracia Morales. Their work appears in journals such as Molecular Cancer, Molecular and Cellular Neuroscience, Current Opinion in Neurobiology, PLoS ONE and Journal of Neuroscience.

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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