Thomas Seebeck

89 papers receiving 3.8k citations

Hit Papers

MHC-dependent mate preferences in humans 1995 · 640 citations
6401995202620052015200400600

Peers

Thomas Seebeck
Comparison fields: 5 of 125
  • Epidemiology 2.2k
  • Parasitology 395
  • Sensory Systems 227
  • Public Health, Environmental and Occupational Health 1.3k
  • Physiology 192
Replace L. W. Enquist with:
L. W. Enquist United States
Alberto C.C. Frasch Argentina
Dennis J. Grab United States
Donald L. Court United States
Susumu Ito Japan
Glenn A. McConkey United Kingdom
Matthew E. Rogers United Kingdom
Emmanuel Lemichez France
Erich M. Schwarz United States
Thomas Seebeck relative to L. W. Enquist United States L. W. Enquist's profile →
Citations per field
00.5×10×13.7×
L. W. Enquist · 1×
Citations per year

Countries citing papers authored by Thomas Seebeck

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Seebeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201232
2 201220
3 201038
4 200631
5 200443
6 200314
7 200113
8 200140
9 200199
10 200127
11 200161
12 200029
13 200021
14 19995
15 199719
16 199419
17 199331
18 198913
19 198923
20 198863

About Thomas Seebeck

Thomas Seebeck is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Physiology, Molecular Biology and Parasitology, having authored 90 papers that have together received 4.0k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (62 papers), Research on Leishmaniasis Studies (26 papers), Phosphodiesterase function and regulation (20 papers), Biochemical and Molecular Research (10 papers), Slime Mold and Myxomycetes Research (9 papers), Diatoms and Algae Research (7 papers), Lysosomal Storage Disorders Research (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Epidemiology (2.2k citations), Parasitology (395 citations), Sensory Systems (227 citations), Public Health, Environmental and Occupational Health (1.3k citations) and Physiology (192 citations). Thomas Seebeck has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Florence Bettens, Claus Wedekind, Stefan Kunz, Andrew Hemphill, André Schneider, Michael Oberholzer, Richard Braun, Ronald Kaminsky, John Enyaru and Enock Matovu. Their work appears in journals such as Molecular and Biochemical Parasitology, Journal of Biological Chemistry, Nucleic Acids Research, Journal of Cell Science and Proceedings of the National Academy of Sciences.

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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