Iris Eisenmann-Tappe
Impact in
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Receptor Mechanisms and Signaling
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- Liver physiology and pathology
Papers in
- History 4
- History of Medicine Studies 4
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- Amino Acid Enzymes and Metabolism 1
- Co-authors
- Ulf Rüdiger Rapp (3 shared papers)Jakob Troppmair (1 shared paper)Günter Daum (1 shared paper)Ute Smola (1 shared paper)Viktor Wixler (1 shared paper)Hong Cai (1 shared paper)Jorge Moscat (1 shared paper)Geoffrey M. Cooper (1 shared paper)
- Journals
- Cell Biology and Toxicology (3 papers)Biochemical Pharmacology (1 paper)Trends in Biochemical Sciences (1 paper)Recent results in cancer research (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Iris Eisenmann-Tappe
9 papers receiving 824 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 566
- Hepatology 39
- Pharmacology 32
- Cancer Research 42
- Oncology 52
Countries citing papers authored by Iris Eisenmann-Tappe
This map shows the geographic impact of Iris Eisenmann-Tappe'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 Iris Eisenmann-Tappe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Eisenmann-Tappe more than expected).
Fields of papers citing papers by Iris Eisenmann-Tappe
This network shows the impact of papers produced by Iris Eisenmann-Tappe. 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 Iris Eisenmann-Tappe. The network helps show where Iris Eisenmann-Tappe may publish in the future.
Co-authors
The 18 scholars most cited alongside Iris Eisenmann-Tappe, 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 | 1994 | 460 | |
| 2 | 1997 | 270 | |
| 3 | 1990 | 36 | |
| 4 | 1991 | 33 | |
| 5 | 1997 | 33 | |
| 6 | 1991 | 13 | |
| 7 | 1998 | 9 | |
| 8 | 2016 | 1 | |
| 9 | 2018 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 0 |
About Iris Eisenmann-Tappe
Iris Eisenmann-Tappe is a scholar working on History, Biochemistry, Molecular Biology, Hepatology and Complementary and alternative medicine, having authored 11 papers that have together received 857 indexed citations. Recurring topics across this work include History of Medicine Studies (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Complementary and Alternative Medicine Studies (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Liver physiology and pathology (1 paper), Glutathione Transferases and Polymorphisms (1 paper), History of Science and Medicine (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (566 citations), Hepatology (39 citations), Pharmacology (32 citations), Cancer Research (42 citations) and Oncology (52 citations). Iris Eisenmann-Tappe has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Ulf Rüdiger Rapp, Jakob Troppmair, Günter Daum, Ute Smola, Viktor Wixler, Hong Cai, Jorge Moscat, Geoffrey M. Cooper, Maria Teresa Díaz-Meco and Rolf Gebhardt. Their work appears in journals such as Cell Biology and Toxicology, Biochemical Pharmacology, Trends in Biochemical Sciences, Recent results in cancer research and Molecular and Cellular Biology.
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.