Willem J.P Loves
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 3
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 5
- Dermatological and Skeletal Disorders 3
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 5
- Dermatological and Skeletal Disorders 3
- Cell Biology top 10%
- Skin and Cellular Biology Research 3
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- Cancer therapeutics and mechanisms 4
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- Autoimmune Bullous Skin Diseases 3
- Cancer Mechanisms and Therapy 2
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- HIV/AIDS drug development and treatment 3
- Co-authors
- Godefridus J. PetersHerbert M. PinedoC.L. van der WiltIannis TalianidisJudith R. KroepArthur A. BergenAndries M. BergmanTheo G. M. F. Gorgels
- Cited by
- OncologyGeneticsCancer Research
- Journals
- Human Molecular Genetics (1 paper)British Journal of Cancer (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- NetherlandsGreeceUnited States
In The Last Decade
Willem J.P Loves
18 papers receiving 801 citations
Peers
Comparison fields: 5 of 67
- Oncology 367
- Genetics 82
- Cancer Research 107
- Genetics 189
- Cell Biology 110
Countries citing papers authored by Willem J.P Loves
This map shows the geographic impact of Willem J.P Loves'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 Willem J.P Loves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willem J.P Loves more than expected).
Fields of papers citing papers by Willem J.P Loves
This network shows the impact of papers produced by Willem J.P Loves. 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 Willem J.P Loves. The network helps show where Willem J.P Loves may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Willem J.P Loves, 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 | 2010 | 48 | |
| 2 | 2010 | 12 | |
| 3 | 2006 | 5 | |
| 4 | 2006 | 2 | |
| 5 | 2005 | 157 | |
| 6 | 2004 | 19 | |
| 7 | 2004 | 19 | |
| 8 | 2004 | 17 | |
| 9 | 2004 | 28 | |
| 10 | 2004 | 1 | |
| 11 | 2003 | 42 | |
| 12 | 2003 | 120 | |
| 13 | 2002 | 25 | |
| 14 | 2002 | 40 | |
| 15 | 2002 | 13 | |
| 16 | Pretreatment deoxycytidine kinase levels predict in vivo gemcitabine sensitivity. | 2002 | 161 |
| 17 | 2000 | 71 | |
| 18 | 1999 | 34 |
About Willem J.P Loves
Willem J.P Loves is a scholar working on Genetics, Oncology and Pathology and Forensic Medicine, having authored 18 papers that have together received 814 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Cancer therapeutics and mechanisms (4 papers), Skin and Cellular Biology Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Autoimmune Bullous Skin Diseases (3 papers), Dermatological and Skeletal Disorders (3 papers), HIV/AIDS drug development and treatment (3 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Oncology (367 citations), Genetics (82 citations) and Cancer Research (107 citations). Willem J.P Loves has collaborated with scholars based in Netherlands, Greece and United States. Frequent co-authors include Godefridus J. Peters, Herbert M. Pinedo, C.L. van der Wilt, Iannis Talianidis, Judith R. Kroep, Arthur A. Bergen, Andries M. Bergman, Theo G. M. F. Gorgels, Anneke de Wolf and Enrique Álvarez. Their work appears in journals such as Human Molecular Genetics, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.
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.