Geoff Shaw

6.8k citations
193 papers · 4.9k indexed · h-index 35

Geoff Shaw

189 papers receiving 4.8k citations

Peers

Geoff Shaw
Comparison fields: 5 of 126
  • Reproductive Medicine 826
  • Genetics 2.3k
  • Urology 363
  • Agronomy and Crop Science 498
  • Small Animals 347
Replace Thomas B. Hildebrandt with:
Thomas B. Hildebrandt Germany
Anne McLaren United Kingdom
William B. Neaves United States
Allen C. Enders United States
Leslie A. Lyons United States
Katarina Jewgenow Germany
Yutaka Toyoda Japan
J. D. Biggers United States
Pierre Comizzoli United States
Anthony Michael Carter Denmark
Geoff Shaw relative to Thomas B. Hildebrandt Germany Thomas B. Hildebrandt's profile →
Citations per field
00.5×6.5×
Thomas B. Hildebrandt · 1×
Citations per year

Countries citing papers authored by Geoff Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Geoff Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20241
4 20231
5 20234
6 201322
7 201312
8 201227
9 20114
10
The evolution of an imprinted domain in mammals
20083
11 2007166
12 200735
13 200613
14 200426
15 200322
16 200234
17 200110
18 200121
19 199813
20 199622

About Geoff Shaw

Geoff Shaw is a scholar working on Reproductive Medicine, Small Animals, Genetics, Agronomy and Crop Science and Urology, having authored 193 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (44 papers), Sexual Differentiation and Disorders (39 papers), Sperm and Testicular Function (35 papers), Reproductive Physiology in Livestock (30 papers), Reproductive Biology and Fertility (27 papers), Genetic Syndromes and Imprinting (26 papers), Epigenetics and DNA Methylation (21 papers) and Wildlife Ecology and Conservation (20 papers). The work is most often cited by research in Reproductive Medicine (826 citations), Genetics (2.3k citations), Urology (363 citations), Agronomy and Crop Science (498 citations) and Small Animals (347 citations). Geoff Shaw has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Marilyn B. Renfree, Andrew J. Pask, R. V. Short, Jean D. Wilson, Michael W. Leihy, Shunsuke Suzuki, Jennifer A. Marshall Graves, Stephen Frankenberg, Hongshi Yu and Douglas Coveney. Their work appears in journals such as Reproduction, Biology of Reproduction, Reproduction Fertility and Development, Sexual Development and Molecular and Cellular Endocrinology.

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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