Bryce van de Geijn

3.5k citations
16 papers · 1.7k indexed · 1 hit paper · h-index 14
Topics
Genetic Associations and Epidemiology (9 papers)Genetic Mapping and Diversity in Plants and Animals (5 papers)Genomics and Chromatin Dynamics (5 papers)

In The Last Decade

Bryce van de Geijn

16 papers receiving 1.6k citations

Hit Papers

RNA splicing is a primary link between genetic variation ...20162026201920222016100200300

Peers

Bryce van de Geijn
Comparison fields: 5 of 108
  • Molecular Biology 1.2k
  • Genetics 831
  • Cancer Research 202
  • Immunology 100
  • Plant Science 67
Replace Beryl B. Cummings with:
Beryl B. Cummings United States
Ann‐Marie Mallon United Kingdom
Mark Fleharty United States
Ewelina Pośpiech Poland
Colm E. Nestor Sweden
Yongjia Yu United States
Bo Peng United States
Alan Hodgkinson United Kingdom
Elizabeth M. Gillanders United States
Oriol Canela‐Xandri United Kingdom
Bryce van de Geijn relative to Beryl B. Cummings United States Beryl B. Cummings's profile →
Citations per field
00.5×10×20×33.3×
Beryl B. Cummings · 1×
Citations per year

Countries citing papers authored by Bryce van de Geijn

Since Specialization
Citations

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

Fields of papers citing papers by Bryce van de Geijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryce van de Geijn. 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 Bryce van de Geijn. The network helps show where Bryce van de Geijn may publish in the future.

Co-authorship network of co-authors of Bryce van de Geijn

This figure shows the co-authorship network connecting the top 25 collaborators of Bryce van de Geijn. A scholar is included among the top collaborators of Bryce van de Geijn 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 Bryce van de Geijn. Bryce van de Geijn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 14
2 20
3 140
4 9
5 30
6 32
7 41
8 8
9 93
10 38
11
RNA splicing is a primary link between genetic variation and diseasebreakdown →
382
12 303
13 16
14 187
15 312
16 36

About Bryce van de Geijn

Bryce van de Geijn is a scholar working on Genetics, Modeling and Simulation and Molecular Biology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Genetics (831 citations), Molecular Biology (1.2k citations) and Cancer Research (202 citations). Bryce van de Geijn has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Jonathan K. Pritchard, Yoav Gilad, Graham McVicker, Anil Raj, Nicholas E. Banovich, Jacob F. Degner, David E. Golan, Yang Li, Allegra A. Petti and David A. Knowles. Their work appears in journals such as Science, Nature Communications and Nature Genetics.

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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