Paul Wan
Impact in
- Oncology top 2%
- Colorectal Cancer Treatments and Studies
- Cancer-related Molecular Pathways
- Cutaneous Melanoma Detection and Management
- Molecular Biology top 5%
- Melanoma and MAPK Pathways
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Protein purification and stability 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Signaling Pathways in Disease 1
- Melanoma and MAPK Pathways 1
- Co-authors
- David Barford (2 shared papers)Mathew J. Garnett (1 shared paper)Chris M. Jones (1 shared paper)Valerie M. Good (1 shared paper)Dan Niculescu‐Duvaz (1 shared paper)Caroline J. Springer (1 shared paper)S. Mark Roe (1 shared paper)Christopher J. Marshall (1 shared paper)
- Journals
- Scientific Reports (1 paper)Progress in Biophysics and Molecular Biology (1 paper)The EMBO Journal (1 paper)Chemical Science (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomSwedenChina
In The Last Decade
Paul Wan
9 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Oncology 991
- Molecular Biology 1.9k
- Pathology and Forensic Medicine 425
- Computational Theory and Mathematics 326
- Cancer Research 228
Countries citing papers authored by Paul Wan
This map shows the geographic impact of Paul Wan'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 Paul Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Wan more than expected).
Fields of papers citing papers by Paul Wan
This network shows the impact of papers produced by Paul Wan. 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 Paul Wan. The network helps show where Paul Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Wan, 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 | Mechanism of Activation of the RAF-ERK Signaling Pathway by Oncogenic Mutations of B-RAF Hit paper breakdown → | 2004 | 2174 |
| 2 | 2013 | 132 | |
| 3 | 2008 | 53 | |
| 4 | 2013 | 28 | |
| 5 | 2022 | 27 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 19 | |
| 8 | 2020 | 10 | |
| 9 | 2016 | 9 |
About Paul Wan
Paul Wan is a scholar working on Molecular Biology, Cell Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 9 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Protein purification and stability (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Signaling Pathways in Disease (1 paper), Alzheimer's disease research and treatments (1 paper), Melanoma and MAPK Pathways (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Oncology (991 citations), Molecular Biology (1.9k citations), Pathology and Forensic Medicine (425 citations), Computational Theory and Mathematics (326 citations) and Cancer Research (228 citations). Paul Wan has collaborated with scholars based in United Kingdom, Sweden and China. Frequent co-authors include David Barford, Mathew J. Garnett, Chris M. Jones, Valerie M. Good, Dan Niculescu‐Duvaz, Caroline J. Springer, S. Mark Roe, Christopher J. Marshall, Richard Marais and Lorenz M. Mayr. Their work appears in journals such as Scientific Reports, Progress in Biophysics and Molecular Biology, The EMBO Journal, Chemical Science and Journal of 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.