Adriaan van der Graaf

4.4k citations
10 papers · 1.0k indexed · 1 hit paper · h-index 7

Adriaan van der Graaf

9 papers receiving 1.0k citations

Hit Papers

Gene co-expression analysis for functional classification...6662016202620192022200400600

Peers

Adriaan van der Graaf
Comparison fields: 5 of 114
  • Aging 19
  • Molecular Biology 668
  • Gastroenterology 37
  • Genetics 187
  • Cancer Research 98
Replace Denis C. Bauer with:
Denis C. Bauer Australia
Richard Coulson United Kingdom
Yongjun Yu China
Rudi Alberts Netherlands
Dustin E. Bosch United States
Alejandra Cervera Finland
Renuka R. Nayak United States
Massimo La Rosa Italy
Francesco Vallania United States
Osamu Ogasawara Japan
Adriaan van der Graaf relative to Denis C. Bauer Australia Denis C. Bauer's profile →
Citations per field
00.5×3.4×
Denis C. Bauer · 1×
Citations per year

Countries citing papers authored by Adriaan van der Graaf

Since Specialization
Citations

This map shows the geographic impact of Adriaan van der Graaf'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 Adriaan van der Graaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriaan van der Graaf more than expected).

Fields of papers citing papers by Adriaan van der Graaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adriaan van der Graaf. 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 Adriaan van der Graaf. The network helps show where Adriaan van der Graaf may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Adriaan van der Graaf, 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 Adriaan van der Graaf Line = papers co-authored together Adriaan van der Graaf links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20252
2 20250
3 20234
4 202265
5 202123
6 202027
7 202038
8 201922
9
Gene co-expression analysis for functional classification and gene–disease predictionsbreakdown →
2016666
10 2015192

About Adriaan van der Graaf

Adriaan van der Graaf is a scholar working on Gastroenterology, Genetics and Infectious Diseases, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (2 papers), Celiac Disease Research and Management (2 papers), Bioinformatics and Genomic Networks (2 papers), Galectins and Cancer Biology (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Aging (19 citations), Molecular Biology (668 citations) and Gastroenterology (37 citations). Adriaan van der Graaf has collaborated with scholars based in Netherlands, Switzerland and Italy. Frequent co-authors include Lude Franke, Urmo Võsa, Sipko van Dam, João Pedro de Magalhães, Ruth G. Shaw, Frank Johannes, Drexel A. Neumann, Ritsert C. Jansen, Maria Colomé‐Tatché and Serena Sanna. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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