J.G. Cloud

58 papers receiving 1.2k citations

Peers

J.G. Cloud
Comparison fields: 5 of 68
  • Physiology 852
  • Aquatic Science 465
  • Reproductive Medicine 343
  • Nature and Landscape Conservation 418
  • Genetics 469
Replace Stephen M. Baynes with:
Stephen M. Baynes United Kingdom
Martin Hulák Czechia
Gérard Maisse France
Hanna Rosenfeld Israel
H. J. Grier United States
Iván Valdebenito Chile
Radosław Kajetan Kowalski Poland
Catherine Labbé France
Ángel García-López Spain
Tadashi Andoh Japan
J.G. Cloud relative to Stephen M. Baynes United Kingdom Stephen M. Baynes's profile →
Citations per field
00.5×2×2.7×
Stephen M. Baynes · 1×
Citations per year

Countries citing papers authored by J.G. Cloud

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Cloud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993117
2 198970
3 200059
4 200255
5 199053
6 200852
7 198850
8 199245
9 200039
10 200037
11 200635
12 200334
13 199932
14 199930
15 199529
16 198129
17 197329
18 200829
19 200028
20 199926

About J.G. Cloud

J.G. Cloud is a scholar working on Physiology, Aquatic Science, Reproductive Medicine, Nature and Landscape Conservation and Genetics, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (43 papers), Sperm and Testicular Function (19 papers), Fish Ecology and Management Studies (19 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (16 papers), Aquaculture Nutrition and Growth (16 papers), Reproductive Biology and Fertility (9 papers), Animal Genetics and Reproduction (5 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Physiology (852 citations), Aquatic Science (465 citations), Reproductive Medicine (343 citations), Nature and Landscape Conservation (418 citations) and Genetics (469 citations). J.G. Cloud has collaborated with scholars based in United States. Frequent co-authors include Rolf L. Ingermann, Gary H. Thorgaard, Michelle Krisfalusi, James J. Nagler, David C. Bencic, Allen W. Schuetz, Michael Holcomb, Eric E. Nilsson, Michael V. Dodson and Mary Lou Robinson. Their work appears in journals such as Journal of Experimental Zoology, Fish Physiology and Biochemistry, Aquaculture, Journal of Animal Science and Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology.

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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