Walter Kölch
Impact in
- Molecular Biology top 0.1%
- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
- Gene Regulatory Network Analysis
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
- Cell Biology top 0.1%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Melanoma and MAPK Pathways 100
- Protein Kinase Regulation and GTPase Signaling 80
- Gene Regulatory Network Analysis 28
- Bioinformatics and Genomic Networks 26
- Cell Biology 54
- Hippo pathway signaling and YAP/TAZ 26
- Cellular Mechanics and Interactions 20
- Co-authors
- Amardeep S. DhillonHarald MischakOliver RathSuzanne HaganBoris Ν. KholodenkoJens RauchEric O’NeillGisela Heidecker
- Journals
- Molecular and Cellular Biology (17 papers)Journal of Biological Chemistry (10 papers)Cancer Research (10 papers)Cellular Signalling (9 papers)Oncogene (8 papers)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Walter Kölch
293 papers receiving 25.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 18.9k
- Cell Biology 3.7k
- Cancer Research 2.7k
- Oncology 4.5k
- Pathology and Forensic Medicine 2.6k
Countries citing papers authored by Walter Kölch
This map shows the geographic impact of Walter Kölch'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 Walter Kölch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Kölch more than expected).
Fields of papers citing papers by Walter Kölch
This network shows the impact of papers produced by Walter Kölch. 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 Walter Kölch. The network helps show where Walter Kölch may publish in the future.
Co-authors
The 25 scholars most cited alongside Walter Kölch, 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 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 17 | |
| 7 | 2015 | 26 | |
| 8 | 2013 | 71 | |
| 9 | 2013 | 13 | |
| 10 | 2012 | 29 | |
| 11 | 2012 | 8 | |
| 12 | 2011 | 51 | |
| 13 | 2011 | 96 | |
| 14 | 2010 | 81 | |
| 15 | 2010 | 65 | |
| 16 | 2010 | 121 | |
| 17 | 2010 | 39 | |
| 18 | 2004 | 243 | |
| 19 | 1996 | 176 | |
| 20 | Probing structure and function of the raf protein kinase domain with monoclonal antibodies. | 1990 | 35 |
About Walter Kölch
Walter Kölch is a scholar working on Molecular Biology, Cell Biology, Computational Theory and Mathematics, Cancer Research and Pathology and Forensic Medicine, having authored 298 papers that have together received 25.5k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (100 papers), Protein Kinase Regulation and GTPase Signaling (80 papers), Computational Drug Discovery Methods (34 papers), Gene Regulatory Network Analysis (28 papers), Bioinformatics and Genomic Networks (26 papers), Hippo pathway signaling and YAP/TAZ (26 papers), Cancer Mechanisms and Therapy (24 papers) and Cellular Mechanics and Interactions (20 papers). The work is most often cited by research in Molecular Biology (18.9k citations), Cell Biology (3.7k citations), Cancer Research (2.7k citations), Oncology (4.5k citations) and Pathology and Forensic Medicine (2.6k citations). Walter Kölch has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Amardeep S. Dhillon, Harald Mischak, Oliver Rath, Suzanne Hagan, Boris Ν. Kholodenko, Jens Rauch, Eric O’Neill, Gisela Heidecker, Ulf R. Rapp and Andrew R. Pitt. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Cancer Research, Cellular Signalling and Oncogene.
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.