E.P. Evans

11.9k citations
129 papers · 9.6k indexed · 3 hit papers · h-index 42

E.P. Evans

127 papers receiving 8.9k citations

Hit Papers

New cell lines from mouse...1.6k196420261984200550010001.5k

Peers

E.P. Evans
Comparison fields: 5 of 179
  • Genetics 3.1k
  • Molecular Biology 5.6k
  • Reproductive Medicine 638
  • Genetics 750
  • Developmental Neuroscience 245
Replace Hiroyuki Sasaki with:
Hiroyuki Sasaki Japan
Jean Weissenbach France
Wei Ge China
Feng Liu China
Akira Kudō Japan
Denis Le Paslier France
Brandon J. Wainwright Australia
Deon J. Venter Australia
María E. Figueroa United States
Thomas Anderson United Kingdom
E.P. Evans relative to Hiroyuki Sasaki Japan Hiroyuki Sasaki's profile →
Citations per field
00.5×
Hiroyuki Sasaki · 1×
Citations per year

Countries citing papers authored by E.P. Evans

Since Specialization
Citations

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

Fields of papers citing papers by E.P. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside E.P. Evans, 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 E.P. Evans Line = papers co-authored together E.P. Evans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 201620
3 201129
4 200018
5 1995132
6 199368
7 1993124
8 1992150
9 198411
10 198321
11 197822
12 197717
13
Review of criteria used to measure library effectiveness.
197221
14 19729
15 197128
16 19716
17 197036
18 196939
19 196882
20 196534

About E.P. Evans

E.P. Evans is a scholar working on Reproductive Medicine, Genetics and Cancer Research, having authored 129 papers that have together received 9.6k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (29 papers), Animal Genetics and Reproduction (27 papers), Sperm and Testicular Function (20 papers), Chromosomal and Genetic Variations (19 papers), Reproductive Biology and Fertility (14 papers), Flood Risk Assessment and Management (13 papers), Genomics and Chromatin Dynamics (13 papers) and Hydrology and Watershed Management Studies (10 papers). The work is most often cited by research in Genetics (3.1k citations), Molecular Biology (5.6k citations) and Reproductive Medicine (638 citations). E.P. Evans has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include C. E. Ford, Austin Smith, Jennifer Nichols, G. Breckon, Qi‐Long Ying, M. D. Burtenshaw, Frances A. Brook, Richard L. Gardner, Ronald D.G. McKay and Josh Chenoweth. Their work appears in journals such as Cytogenetic and Genome Research, Nature, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis, Genetics Research and Development.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026