Isaäc J. Nijman

14.7k citations
81 papers · 5.1k indexed · 2 hit papers · h-index 36

Isaäc J. Nijman

81 papers receiving 5.0k citations

Hit Papers

Sambamba: fast processing of NGS alignment formats1.3k20132026201720214008001.2k

Peers

Isaäc J. Nijman
Comparison fields: 5 of 150
  • Genetics 1.9k
  • Cancer Research 633
  • Molecular Biology 2.6k
  • Equine 40
  • Cell Biology 384
Replace Xiaosong Huang with:
Xiaosong Huang United States
David W. Burt United Kingdom
Michael C. Zody United States
Stefan Krebs Germany
Matthew Breen United States
Manuel A. Rivas United States
Jared Maguire United States
Christian Bendixen Denmark
Alan Archibald United Kingdom
James E. Womack United States
Isaäc J. Nijman relative to Xiaosong Huang United States Xiaosong Huang's profile →
Citations per field
00.5×1.5×2.4×
Xiaosong Huang · 1×
Citations per year

Countries citing papers authored by Isaäc J. Nijman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Isaäc J. Nijman Line = papers co-authored together Isaäc J. Nijman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20195
3 20172
4 201629
5 2016125
6
Effective Therapeutic Intervention and Comprehensive Genetic Analysis of mTOR Signaling in PEComa : A Case Report
20151
7 201363
8 201395
9 201232
10 2011119
11 2010168
12 200981
13 20088
14 200725
15 200740
16 200629
17 200280
18 200175
19 200049
20 2000176

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.

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