Jan G.M. Klijn
- Molecular Biology top 0.5%
- Oncology top 0.2%
- Cancer Research top 0.1%
- Genetics top 0.1%
- Pathology and Forensic Medicine top 0.5%
- Co-authors
- John A. FoekensAnieta M. SieuwertsMaxime P. LookEls M.J.J. BernsYixin WangMarion E. Meijer‐van GelderJack X. YuYi Zhang
- Topics
- BRCA gene mutations in cancer (56 papers)Breast Cancer Treatment Studies (23 papers)Cancer Genomics and Diagnostics (19 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Jan G.M. Klijn
146 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 6.7k
- Oncology 6.1k
- Cancer Research 6.0k
- Genetics 5.8k
- Pathology and Forensic Medicine 2.1k
Countries citing papers authored by Jan G.M. Klijn
This map shows the geographic impact of Jan G.M. Klijn'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 Jan G.M. Klijn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan G.M. Klijn more than expected).
Fields of papers citing papers by Jan G.M. Klijn
This network shows the impact of papers produced by Jan G.M. Klijn. 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 Jan G.M. Klijn. The network helps show where Jan G.M. Klijn may publish in the future.
Co-authorship network of co-authors of Jan G.M. Klijn
This figure shows the co-authorship network connecting the top 25 collaborators of Jan G.M. Klijn. A scholar is included among the top collaborators of Jan G.M. Klijn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan G.M. Klijn. Jan G.M. Klijn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 103 | |
| 2 | 70 | |
| 3 | 142 | |
| 4 | Subtypes of Breast Cancer Show Preferential Site of Relapsebreakdown → | 622 |
| 5 | 261 | |
| 6 | 62 | |
| 7 | 31 | |
| 8 | 166 | |
| 9 | 46 | |
| 10 | 102 | |
| 11 | 8 | |
| 12 | 58 | |
| 13 | 43 | |
| 14 | Efficacy of MRI and Mammography for Breast-Cancer Screening in Women with a Familial or Genetic Predispositionbreakdown → | 1211 |
| 15 | Breast Cancer after Prophylactic Bilateral Mastectomy in Women with aBRCA1orBRCA2Mutationbreakdown → | 658 |
| 16 | 53 | |
| 17 | 253 | |
| 18 | 41 | |
| 19 | Hormone secretion in alcohol-induced pseudo-Cushing's syndrome. Differential diagnosis with Cushing disease. | 57 |
| 20 | 51 |
About Jan G.M. Klijn
Jan G.M. Klijn is a scholar working on Cancer Research, Genetics and Oncology, having authored 148 papers that have together received 16.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (56 papers), Breast Cancer Treatment Studies (23 papers) and Cancer Genomics and Diagnostics (19 papers). The work is most often cited by research in Cancer Research (6.0k citations), Oncology (6.1k citations) and Genetics (5.8k citations). Jan G.M. Klijn has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include John A. Foekens, Anieta M. Sieuwerts, Maxime P. Look, Els M.J.J. Berns, Yixin Wang, Marion E. Meijer‐van Gelder, Jack X. Yu, Yi Zhang, Cecile T.M. Brekelmans and John W.M. Martens. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.