Dirk Erdmann
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
-
- Ubiquitin and proteasome pathways
- Wnt/β-catenin signaling in development and cancer
- CRISPR and Genetic Engineering
Papers in
- Cell Biology 15
- Hippo pathway signaling and YAP/TAZ 13
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- Metabolism, Diabetes, and Cancer 2
- Protein Structure and Dynamics 2
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Patrick Chêne (22 shared papers)Catherine Zimmermann (20 shared papers)Patrizia Fontana (19 shared papers)Yannick Mesrouze (14 shared papers)Jutta Heim (2 shared papers)Tobias Schmelzle (9 shared papers)Marco Meyerhofer (13 shared papers)Fedir Bokhovchuk (10 shared papers)
- Journals
- Protein Science (6 papers)ChemBioChem (2 papers)Cancer Research (2 papers)The FASEB Journal (1 paper)Blood (1 paper)
- Partner nations
- SwitzerlandUnited StatesCanada
In The Last Decade
Dirk Erdmann
29 papers receiving 612 citations
Peers
Comparison fields: 5 of 63
- Cell Biology 322
- Molecular Biology 331
- Biochemistry 32
- Hematology 44
- Oncology 69
Countries citing papers authored by Dirk Erdmann
This map shows the geographic impact of Dirk Erdmann'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 Dirk Erdmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Erdmann more than expected).
Fields of papers citing papers by Dirk Erdmann
This network shows the impact of papers produced by Dirk Erdmann. 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 Dirk Erdmann. The network helps show where Dirk Erdmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Dirk Erdmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 84 | |
| 2 | 2013 | 63 | |
| 3 | 2017 | 53 | |
| 4 | 1995 | 49 | |
| 5 | 2017 | 47 | |
| 6 | 2005 | 33 | |
| 7 | 2018 | 27 | |
| 8 | 2019 | 26 | |
| 9 | 2014 | 24 | |
| 10 | 2019 | 22 | |
| 11 | 2010 | 21 | |
| 12 | 2000 | 21 | |
| 13 | 2008 | 20 | |
| 14 | 2020 | 18 | |
| 15 | 2024 | 15 | |
| 16 | 2016 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2020 | 9 | |
| 20 | 2022 | 8 |
About Dirk Erdmann
Dirk Erdmann is a scholar working on Cell Biology, Molecular Biology, Plant Science, Oncology and Genetics, having authored 30 papers that have together received 618 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (13 papers), Plant Surface Properties and Treatments (8 papers), Cancer-related Molecular Pathways (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Protein Structure and Dynamics (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (322 citations), Molecular Biology (331 citations), Biochemistry (32 citations), Hematology (44 citations) and Oncology (69 citations). Dirk Erdmann has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Patrick Chêne, Catherine Zimmermann, Patrizia Fontana, Yannick Mesrouze, Jutta Heim, Tobias Schmelzle, Marco Meyerhofer, Fedir Bokhovchuk, Pascal Furet and Peter Fürst. Their work appears in journals such as Protein Science, ChemBioChem, Cancer Research, The FASEB Journal and Blood.
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.