E. G. Williamson

2.1k total citations · 1 hit paper
6 papers, 1.6k citations indexed

About

E. G. Williamson is a scholar working on Genetics, Social Psychology and General Health Professions. According to data from OpenAlex, E. G. Williamson has authored 6 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Social Psychology and 1 paper in General Health Professions. Recurrent topics in E. G. Williamson's work include Genetic diversity and population structure (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Healthcare professionals’ stress and burnout (1 paper). E. G. Williamson is often cited by papers focused on Genetic diversity and population structure (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Healthcare professionals’ stress and burnout (1 paper). E. G. Williamson collaborates with scholars based in United States, United Kingdom and France. E. G. Williamson's co-authors include John Carlos Garza, Montgomery Slatkin, Eric C. Anderson, E. A. Thompson, Laura Biggart, Paul Fisher, Aurelio J. Figueredo and Kristy Sanderson and has published in prestigious journals such as Genetics, Molecular Ecology and The Journal of Higher Education.

In The Last Decade

E. G. Williamson

4 papers receiving 1.5k citations

Hit Papers

Detection of reduction in population size using data from... 2001 2026 2009 2017 2001 400 800 1.2k

Peers

E. G. Williamson
Comparison fields: 5 of 62
  • Genetics 1.3k
  • Ecology 670
  • Nature and Landscape Conservation 435
  • Molecular Biology 273
  • Ecology, Evolution, Behavior and Systematics 259
Replace Kornelia Rassmann with:
Kornelia Rassmann Germany
P. L. Leberg United States
G. M. Macbeth Australia
Michael Burden United Kingdom
Delbert W. Hutchison United States
Khalid Belkhir France
Emily K. Latch United States
Peter Galbusera Belgium
Juha‐Pekka Vähä Finland
Linda Hellborg Sweden
Kornelia Rassmann Germany View profile →
Citations per field, relative to E. G. Williamson
E. G. Williamson · 1×
Citations per year, relative to E. G. Williamson
E. G. Williamson · 1×

Countries citing papers authored by E. G. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by E. G. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. G. Williamson. 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 E. G. Williamson. The network helps show where E. G. Williamson may publish in the future.

Co-authorship network of co-authors of E. G. Williamson

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 0
2
Detection of reduction in population size using data from microsatellite loci breakdown →
1398
3 84
4 106
5 1
6 0

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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