Peter J.M. Valk
- Hematology top 0.05%
- Acute Myeloid Leukemia Research 131
- Chronic Myeloid Leukemia Treatments 29
- Genetics top 0.2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 33
- Chronic Lymphocytic Leukemia Research 16
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 22
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 25
- Protein Degradation and Inhibitors 24
- Retinoids in leukemia and cellular processes 14
- Immunology top 2%
- Co-authors
- Bob LöwenbergRuud DelwelClaudia Erpelinck-VerschuerenH. Berna BeverlooRoel G.W. VerhaakBas J. WoutersMathijs A. SandersSanne Lugthart
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Peter J.M. Valk
182 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Hematology 6.2k
- Genetics 2.1k
- Cancer Research 1.6k
- Molecular Biology 5.9k
- Immunology 1.1k
Countries citing papers authored by Peter J.M. Valk
This map shows the geographic impact of Peter J.M. Valk'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 Peter J.M. Valk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J.M. Valk more than expected).
Fields of papers citing papers by Peter J.M. Valk
This network shows the impact of papers produced by Peter J.M. Valk. 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 Peter J.M. Valk. The network helps show where Peter J.M. Valk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter J.M. Valk, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 10 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 30 | |
| 10 | 2020 | 2 | |
| 11 | 2019 | 20 | |
| 12 | 2017 | 3 | |
| 13 | 2015 | 43 | |
| 14 | 2013 | 4 | |
| 15 | 2011 | 37 | |
| 16 | 2010 | 74 | |
| 17 | 2010 | 262 | |
| 18 | 2006 | 19 | |
| 19 | Evaluating the Effectiveness of TDM and Public Awareness Programs for the US 101 Highway Reconstruction Project in San Luis Obispo, California | 2005 | 1 |
| 20 | SU5416 plus interferon alpha in advanced renal cell carcinoma: a phase II California Cancer Consortium Study with biological and imaging correlates of angiogenesis inhibition. | 2003 | 51 |
About Peter J.M. Valk
Peter J.M. Valk is a scholar working on Hematology, Genetics and Cancer Research, having authored 190 papers that have together received 10.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (131 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (33 papers), Chronic Myeloid Leukemia Treatments (29 papers), Epigenetics and DNA Methylation (25 papers), Protein Degradation and Inhibitors (24 papers), Cancer Genomics and Diagnostics (22 papers), Chronic Lymphocytic Leukemia Research (16 papers) and Retinoids in leukemia and cellular processes (14 papers). The work is most often cited by research in Hematology (6.2k citations), Genetics (2.1k citations) and Cancer Research (1.6k citations). Peter J.M. Valk has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Bob Löwenberg, Ruud Delwel, Claudia Erpelinck-Verschueren, H. Berna Beverloo, Roel G.W. Verhaak, Bas J. Wouters, Mathijs A. Sanders, Sanne Lugthart, Sahar Barjesteh van Waalwijk van Doorn-Khosrovani and Peter J. van der Spek. Their work appears in journals such as Blood, Haematologica, British Journal of Haematology, Blood Advances and HemaSphere.
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.