Daniel U. Gommel
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Parasitology top 10%
Papers in
-
- Enzyme function and inhibition 3
- Glutathione Transferases and Polymorphisms 1
-
- Trypanosoma species research and implications 2
- Co-authors
- Henryk M. Kalisz (5 shared papers)Everson Nogoceke (5 shared papers)Leopold Flohé (5 shared papers)Michael Kieß (2 shared papers)Felix Wieland (2 shared papers)Walter Nickel (2 shared papers)Michael Morr (1 shared paper)Jörg Malsam (1 shared paper)
- Journals
- BioFactors (2 papers)FEBS Letters (2 papers)The EMBO Journal (1 paper)European Journal of Biochemistry (1 paper)Biological Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel U. Gommel
8 papers receiving 564 citations
Peers
Comparison fields: 5 of 48
- Cell Biology 182
- Parasitology 59
- Public Health, Environmental and Occupational Health 228
- Physiology 35
- Molecular Biology 379
Countries citing papers authored by Daniel U. Gommel
This map shows the geographic impact of Daniel U. Gommel'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 Daniel U. Gommel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel U. Gommel more than expected).
Fields of papers citing papers by Daniel U. Gommel
This network shows the impact of papers produced by Daniel U. Gommel. 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 Daniel U. Gommel. The network helps show where Daniel U. Gommel may publish in the future.
Co-authors
The 18 scholars most cited alongside Daniel U. Gommel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 242 | |
| 2 | 1997 | 92 | |
| 3 | 2001 | 85 | |
| 4 | 1999 | 71 | |
| 5 | 1999 | 55 | |
| 6 | 2000 | 12 | |
| 7 | 1999 | 9 | |
| 8 | 2000 | 7 |
About Daniel U. Gommel
Daniel U. Gommel is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Cell Biology and Toxicology, having authored 8 papers that have together received 573 indexed citations. Recurring topics across this work include Enzyme function and inhibition (3 papers), Research on Leishmaniasis Studies (3 papers), Cellular transport and secretion (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Trypanosoma species research and implications (2 papers), Insect and Pesticide Research (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Cell Biology (182 citations), Parasitology (59 citations), Public Health, Environmental and Occupational Health (228 citations), Physiology (35 citations) and Molecular Biology (379 citations). Daniel U. Gommel has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Henryk M. Kalisz, Everson Nogoceke, Leopold Flohé, Michael Kieß, Felix Wieland, Walter Nickel, Michael Morr, Jörg Malsam, J. Bernd Helms and Mariella Ravazzola. Their work appears in journals such as BioFactors, FEBS Letters, The EMBO Journal, European Journal of Biochemistry and Biological Chemistry.
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.