M. Nooij
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Oncology top 2%
- Cancer Treatment and Pharmacology
- HER2/EGFR in Cancer Research
- Cancer survivorship and care
Papers in
- Oncology 15
- Cancer Treatment and Pharmacology 6
- HER2/EGFR in Cancer Research 4
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- Sarcoma Diagnosis and Treatment 12
- Co-authors
- L.V.A.M. Beex (12 shared papers)M. van Glabbeke (10 shared papers)Martine Piccart (13 shared papers)Barbara Uscinska (8 shared papers)Robert Paridaens (9 shared papers)Pancras C.W. Hogendoorn (11 shared papers)Anne M. Stiggelbout (5 shared papers)S.J.T. Jansen (5 shared papers)
- Journals
- European Journal of Cancer (10 papers)Journal of Clinical Oncology (8 papers)Annals of Oncology (5 papers)Medical Decision Making (2 papers)Anti-Cancer Drugs (2 papers)
- Partner nations
- NetherlandsBelgiumUnited Kingdom
In The Last Decade
M. Nooij
45 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 600
- Oncology 929
- Pulmonary and Respiratory Medicine 1.0k
- Genetics 504
- Rheumatology 242
Countries citing papers authored by M. Nooij
This map shows the geographic impact of M. Nooij'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 M. Nooij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Nooij more than expected).
Fields of papers citing papers by M. Nooij
This network shows the impact of papers produced by M. Nooij. 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 M. Nooij. The network helps show where M. Nooij may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Nooij, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 279 | |
| 2 | 2007 | 274 | |
| 3 | 2008 | 230 | |
| 4 | 2003 | 190 | |
| 5 | 2003 | 172 | |
| 6 | 2011 | 157 | |
| 7 | 1991 | 122 | |
| 8 | 2011 | 108 | |
| 9 | 2000 | 92 | |
| 10 | 2005 | 84 | |
| 11 | 2004 | 82 | |
| 12 | 2000 | 79 | |
| 13 | 2001 | 77 | |
| 14 | 2004 | 70 | |
| 15 | 2001 | 62 | |
| 16 | 1999 | 57 | |
| 17 | 2001 | 57 | |
| 18 | 2006 | 57 | |
| 19 | 2003 | 56 | |
| 20 | 2006 | 54 |
About M. Nooij
M. Nooij is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (12 papers), Estrogen and related hormone effects (11 papers), Cancer Treatment and Pharmacology (6 papers), Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (4 papers), Economic and Environmental Valuation (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Cancer Research (600 citations), Oncology (929 citations), Pulmonary and Respiratory Medicine (1.0k citations), Genetics (504 citations) and Rheumatology (242 citations). M. Nooij has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include L.V.A.M. Beex, M. van Glabbeke, Martine Piccart, Barbara Uscinska, Robert Paridaens, Pancras C.W. Hogendoorn, Anne M. Stiggelbout, S.J.T. Jansen, David Cameron and Alan Craft. Their work appears in journals such as European Journal of Cancer, Journal of Clinical Oncology, Annals of Oncology, Medical Decision Making and Anti-Cancer Drugs.
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.