Thomas O. Eichmann

84 papers receiving 4.5k citations

Hit Papers

A novel mechanism for the biogenesis of outer membrane vesicles in Gram-negative bacteria 2016 · 376 citations
3762012202620162021250500750

Peers

Thomas O. Eichmann
Comparison fields: 5 of 128
  • Biochemistry 1.6k
  • Physiology 1.5k
  • Microbiology 304
  • Cell Biology 590
  • Molecular Biology 2.0k
Replace Christina C. Leslie with:
Christina C. Leslie United States
Helen M. Korchak United States
Yoshikazu Uchida United States
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Antonio Castrillo Spain
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Citations per field
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Citations per year

Countries citing papers authored by Thomas O. Eichmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas O. Eichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FAT SIGNALS - Lipases and Lipolysis in Lipid Metabolism and Signaling
Hit paper breakdown →
2012872
2
A novel mechanism for the biogenesis of outer membrane vesicles in Gram-negative bacteria
Hit paper breakdown →
2016376
3 2015224
4 2009221
5 2012171
6 2017165
7 2013161
8 2009157
9 2014142
10 2014140
11 2017105
12 201787
13 200979
14 201673
15 202069
16 200366
17 201764
18 201564
19 201160
20 201550

About Thomas O. Eichmann

Thomas O. Eichmann is a scholar working on Biochemistry, Physiology, Cell Biology, Clinical Biochemistry and Dermatology, having authored 84 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (37 papers), Adipose Tissue and Metabolism (25 papers), Pancreatic function and diabetes (14 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Cannabis and Cannabinoid Research (6 papers), Cancer, Lipids, and Metabolism (5 papers), Sphingolipid Metabolism and Signaling (5 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Biochemistry (1.6k citations), Physiology (1.5k citations), Microbiology (304 citations), Cell Biology (590 citations) and Molecular Biology (2.0k citations). Thomas O. Eichmann has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Achim Lass, Robert Zimmermann, Rudolf Zechner, Guenter Haemmerle, Sepp D. Kohlwein, Frank Madeo, Martina Schweiger, Gerald N. Rechberger, Ulrike Taschler and Franz P.W. Radner. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Journal of Investigative Dermatology, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Molecular Metabolism.

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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