Volker Brinkmann

59.5k total citations · 18 hit papers
250 papers, 45.3k citations indexed

About

Volker Brinkmann is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Volker Brinkmann has authored 250 papers receiving a total of 45.3k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Immunology, 112 papers in Molecular Biology and 34 papers in Epidemiology. Recurrent topics in Volker Brinkmann's work include Sphingolipid Metabolism and Signaling (58 papers), Immune Cell Function and Interaction (35 papers) and T-cell and B-cell Immunology (33 papers). Volker Brinkmann is often cited by papers focused on Sphingolipid Metabolism and Signaling (58 papers), Immune Cell Function and Interaction (35 papers) and T-cell and B-cell Immunology (33 papers). Volker Brinkmann collaborates with scholars based in Germany, Switzerland and United States. Volker Brinkmann's co-authors include Arturo Zychlinsky, Christian Goosmann, Yvette Weinrauch, David S. Weiss, Beatrix Fauler, Ulrike Abu Abed, Carmen Birchmeier, Constantin F. Urban, Jason G. Cyster and Thomas F. Meyer and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Volker Brinkmann

247 papers receiving 44.6k citations

Hit Papers

Neutrophil Extracellular Traps Kill Bacteria 1995 2026 2005 2015 2004 2007 2004 2009 2009 2.5k 5.0k 7.5k

Peers

Volker Brinkmann
Comparison fields: 5 of 162
  • Immunology 23.2k
  • Molecular Biology 19.4k
  • Epidemiology 5.2k
  • Infectious Diseases 3.8k
  • Pulmonary and Respiratory Medicine 3.8k
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Citations per field, relative to Volker Brinkmann
Volker Brinkmann · 1×
Citations per year, relative to Volker Brinkmann
Volker Brinkmann · 1×

Countries citing papers authored by Volker Brinkmann

Since Specialization
Citations

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

Fields of papers citing papers by Volker Brinkmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volker Brinkmann

This figure shows the co-authorship network connecting the top 25 collaborators of Volker Brinkmann. A scholar is included among the top collaborators of Volker Brinkmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Volker Brinkmann. Volker Brinkmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 9
4 7
5 29
6 3
7 118
8 28
9 49
10 41
11 84
12
Impairment of neutrophil extracellular trap degradation is associated with lupus nephritis breakdown →
1137
13 442
14
Intravital 2-photon imaging of encephalitogenic effector cells during fingolimod (FTY720) treatment of experimental autoimmune encephalomyelitis
4
15
Novel cell death program leads to neutrophil extracellular traps breakdown →
2500
16 28
17 123
18 54
19 323
20 11

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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