Iris Eisenmann-Tappe
Impact in
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- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Cell death mechanisms and regulation
- PI3K/AKT/mTOR signaling in cancer
- Receptor Mechanisms and Signaling
- 14-3-3 protein interactions
Papers in
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- Melanoma and MAPK Pathways 3
- FOXO transcription factor regulation 1
- Glutathione Transferases and Polymorphisms 1
- Oncology 4
- Drug Transport and Resistance Mechanisms 2
- Cytokine Signaling Pathways and Interactions 1
- Cancer-related Molecular Pathways 1
- Co-authors
- Ulf R. Rapp (3 shared papers)Günter Daum (1 shared paper)Hans-Werner Fries (1 shared paper)Jakob Troppmair (1 shared paper)Viktor Wixler (1 shared paper)Jorge Moscat (1 shared paper)U Smola (1 shared paper)Hong Cai (1 shared paper)
- Journals
- Cell Biology and Toxicology (3 papers)Trends in Biochemical Sciences (1 paper)Biochemical Pharmacology (1 paper)Molecular and Cellular Biology (1 paper)Recent results in cancer research (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Iris Eisenmann-Tappe
7 papers receiving 810 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 631
- Cell Biology 106
- Oncology 171
- Immunology and Allergy 29
- Cancer Research 69
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 19 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 | 448 | |
| 2 | 1997 | 264 | |
| 3 | 1990 | 37 | |
| 4 | 1997 | 32 | |
| 5 | 1991 | 31 | |
| 6 | 1991 | 12 | |
| 7 | 1998 | 7 | |
| 8 | 2018 | 1 |
About Iris Eisenmann-Tappe
Iris Eisenmann-Tappe is a scholar working on Molecular Biology, Oncology, Pharmacology, Surgery and Pathology and Forensic Medicine, having authored 8 papers that have together received 832 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Pancreatic function and diabetes (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), FOXO transcription factor regulation (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (631 citations), Cell Biology (106 citations), Oncology (171 citations), Immunology and Allergy (29 citations) and Cancer Research (69 citations). Iris Eisenmann-Tappe has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Ulf R. Rapp, Günter Daum, Hans-Werner Fries, Jakob Troppmair, Viktor Wixler, Jorge Moscat, U Smola, Hong Cai, Geoffrey M. Cooper and María T. Díaz‐Meco. Their work appears in journals such as Cell Biology and Toxicology, Trends in Biochemical Sciences, Biochemical Pharmacology, Molecular and Cellular Biology and Recent results in cancer research.
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.