W. Gavin

2.1k citations
41 papers · 1.5k · 1 hit paper · h-index 15

Impact in

Papers in

    • Animal Genetics and Reproduction 24
    • CRISPR and Genetic Engineering 14
    • Renal and related cancers 6
    • Pluripotent Stem Cells Research 4
    • Viral Infectious Diseases and Gene Expression in Insects 4

W. Gavin

37 papers receiving 1.4k citations

W. Gavin's Hit Papers

Production of goats by somatic cell nuclear transfer 1999 · 767 citations
7670+9+18Years since publication250500750

Peers

W. Gavin
Comparison fields: 5 of 73
  • Public Health, Environmental and Occupational Health 951
  • Genetics 833
  • Reproductive Medicine 218
  • Molecular Biology 1.1k
  • Agronomy and Crop Science 134
Replace Michiko Nakai with:
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J.A. van der Donk Netherlands
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W. Gavin relative to Michiko Nakai Japan Michiko Nakai's profile →
Citations per field
00.5×1.5×1.9×
Michiko Nakai · 1×
Citations per year

Countries citing papers authored by W. Gavin

Since Specialization
Citations

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

Fields of papers citing papers by W. Gavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Gavin. 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 W. Gavin. The network helps show where W. Gavin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Production of goats by somatic cell nuclear transfer
Hit paper breakdown →
1999767
2 200186
3 200084
4 200678
5 200759
6 200155
7 200348
8 200838
9 200438
10 200033
11 200431
12 200529
13 201121
14 200116
15 200514
16 200013
17 200312
18 200710
19 20128
20 19978

About W. Gavin

W. Gavin is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Agronomy and Crop Science and Surgery, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (24 papers), Reproductive Biology and Fertility (15 papers), CRISPR and Genetic Engineering (14 papers), Renal and related cancers (6 papers), Pluripotent Stem Cells Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Xenotransplantation and immune response (3 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (951 citations), Genetics (833 citations), Reproductive Medicine (218 citations), Molecular Biology (1.1k citations) and Agronomy and Crop Science (134 citations). W. Gavin has collaborated with scholars based in United States, France and New Zealand. Frequent co-authors include D. Melican, Yann Echelard, E. Behboodi, R.A. Godke, Harry Meade, Sandra L. Ayres, Margaret M. Destrempes, Carol A. Ziomek, Jennifer L. Williams and Catherine A. Porter. Their work appears in journals such as Theriogenology, Reproduction Fertility and Development, Transgenic Research, Small Ruminant Research and Biotechnology Reports.

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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