Thomas Vogl

21.2k citations
224 papers · 15.2k indexed · 4 hit papers · h-index 62

Thomas Vogl

215 papers receiving 15.0k citations

Hit Papers

The endogenous Toll–like receptor 4 agonist S100A8/S100A9...66220062026201220192505007501000

Peers

Thomas Vogl
Comparison fields: 5 of 152
  • Immunology 7.2k
  • Clinical Biochemistry 847
  • Molecular Biology 8.4k
  • Rheumatology 1.6k
  • Cancer Research 1.4k
Replace Johannes Roth with:
Johannes Roth Germany
Dana T. Graves United States
Martin Herrmann Germany
David S. Pisetsky United States
Kenneth L. Rock United States
Stefan Endres Germany
Triantafyllos Chavakis Germany
Terje Espevik Norway
Yang Liu China
Jan Buer Germany
Thomas Vogl relative to Johannes Roth Germany Johannes Roth's profile →
Citations per field
00.5×1.5×
Johannes Roth · 1×
Citations per year

Countries citing papers authored by Thomas Vogl

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Vogl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20240
5 202425
6 20235
7 20230
8 20233
9 20239
10 20225
11 202013
12 20207
13 2020146
14 201938
15 201897
16 201829
17 201421
18
Calgranulin levels are elevated in spondyloarthritis and reflect the presence of acute microscopic gut inflammation
20141
19 201328
20 201179

About Thomas Vogl

Thomas Vogl is a scholar working on Immunology, Rheumatology, Molecular Biology, Clinical Biochemistry and Metals and Alloys, having authored 224 papers that have together received 15.2k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (130 papers), Immune Response and Inflammation (77 papers), Neonatal Respiratory Health Research (30 papers), Osteoarthritis Treatment and Mechanisms (21 papers), Immune cells in cancer (19 papers), Protease and Inhibitor Mechanisms (17 papers), Sepsis Diagnosis and Treatment (13 papers) and Advanced Glycation End Products research (12 papers). The work is most often cited by research in Immunology (7.2k citations), Clinical Biochemistry (847 citations), Molecular Biology (8.4k citations), Rheumatology (1.6k citations) and Cancer Research (1.4k citations). Thomas Vogl has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Johannes Roth, Dirk Foell, Clemens Sorg, Cord Sunderkötter, Wolfgang Nacken, Helmut Wittkowski, Tom van der Poll, Stephan Ludwig, Marieke A. D. van Zoelen and Jan Ehrchen. Their work appears in journals such as Arthritis Research & Therapy, Annals of the Rheumatic Diseases, PLoS ONE, Frontiers in Immunology and Osteoarthritis and Cartilage.

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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