Isaäc J. Nijman
- Genetics top 0.5%
- Genetic and phenotypic traits in livestock 14
- Genetic Mapping and Diversity in Plants and Animals 10
- Genetic diversity and population structure 10
- Genomics and Rare Diseases 6
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 6
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 8
- Equine top 5%
- Cell Biology top 5%
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- Chromosomal and Genetic Variations 7
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- Genetic factors in colorectal cancer 6
- Co-authors
- Edwin CuppenArtem TarasovAlbert J. VilellaPjotr PrinsJohannes A. LenstraEdward L.C. VerkaarEwart de BruijnVictor Guryev
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Isaäc J. Nijman
81 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Genetics 1.9k
- Cancer Research 633
- Molecular Biology 2.6k
- Equine 40
- Cell Biology 384
Countries citing papers authored by Isaäc J. Nijman
This map shows the geographic impact of Isaäc J. Nijman'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 Isaäc J. Nijman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isaäc J. Nijman more than expected).
Fields of papers citing papers by Isaäc J. Nijman
This network shows the impact of papers produced by Isaäc J. Nijman. 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 Isaäc J. Nijman. The network helps show where Isaäc J. Nijman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isaäc J. Nijman, 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 | 2025 | 1 | |
| 2 | 2019 | 5 | |
| 3 | 2017 | 2 | |
| 4 | 2016 | 29 | |
| 5 | 2016 | 125 | |
| 6 | Effective Therapeutic Intervention and Comprehensive Genetic Analysis of mTOR Signaling in PEComa : A Case Report | 2015 | 1 |
| 7 | 2013 | 63 | |
| 8 | 2013 | 95 | |
| 9 | 2012 | 32 | |
| 10 | 2011 | 119 | |
| 11 | 2010 | 168 | |
| 12 | 2009 | 81 | |
| 13 | 2008 | 8 | |
| 14 | 2007 | 25 | |
| 15 | 2007 | 40 | |
| 16 | 2006 | 29 | |
| 17 | 2002 | 80 | |
| 18 | 2001 | 75 | |
| 19 | 2000 | 49 | |
| 20 | 2000 | 176 |
About Isaäc J. Nijman
Isaäc J. Nijman is a scholar working on Equine, Genetics and Aging, having authored 81 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetic diversity and population structure (10 papers), Genomics and Phylogenetic Studies (8 papers), Chromosomal and Genetic Variations (7 papers), Genomics and Rare Diseases (6 papers), Cancer Genomics and Diagnostics (6 papers) and Genetic factors in colorectal cancer (6 papers). The work is most often cited by research in Genetics (1.9k citations), Cancer Research (633 citations) and Molecular Biology (2.6k citations). Isaäc J. Nijman has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Edwin Cuppen, Artem Tarasov, Albert J. Vilella, Pjotr Prins, Johannes A. Lenstra, Edward L.C. Verkaar, Ewart de Bruijn, Victor Guryev, Michal Mokrý and Marco J. Koudijs. Their work appears in journals such as Nature, Nucleic Acids Research 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.