Stephen Subtelny

951 citations
19 papers · 781 indexed · h-index 14

Stephen Subtelny

19 papers receiving 728 citations

Peers

Stephen Subtelny
Comparison fields: 5 of 93
  • Physiology 151
  • Reproductive Medicine 148
  • Aging 17
  • Public Health, Environmental and Occupational Health 244
  • Genetics 220
Replace Yasuaki Yoshimoto with:
Yasuaki Yoshimoto Japan
Meredith Gould‐Somero United States
Bertrand Picheral France
Charles A. Lessman United States
Marvin R. Kalt United States
Antonie W. Blackler United States
Hugh P. Stanley United States
Johanna E. Speksnijder Netherlands
Yasuhiro Iwao Japan
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Citations per field
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Yasuaki Yoshimoto · 1×
Citations per year

Countries citing papers authored by Stephen Subtelny

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Subtelny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Stephen Subtelny, 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 Stephen Subtelny Line = papers co-authored together Stephen Subtelny links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 198413
2
Gene structure and regulation in development
198311
3 198323
4
Developmental order, its origin and regulation
1982174
5 198129
6 19805
7 197424
8 19734
9 197151
10 196817
11 196835
12 1968140
13 196641
14 196527
15 19658
16 196352
17 196151
18 196031
19 195845

About Stephen Subtelny

Stephen Subtelny is a scholar working on Physiology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Nature and Landscape Conservation and Genetics, having authored 19 papers that have together received 781 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Reproductive biology and impacts on aquatic species (5 papers), Animal Genetics and Reproduction (4 papers), Sperm and Testicular Function (4 papers), Chromosomal and Genetic Variations (3 papers), Fish Ecology and Management Studies (2 papers), Amphibian and Reptile Biology (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Physiology (151 citations), Reproductive Medicine (148 citations), Aging (17 citations), Public Health, Environmental and Occupational Health (244 citations) and Genetics (220 citations). Stephen Subtelny has collaborated with scholars based in United States. Frequent co-authors include Paul B. Green, R.E. Ecker, L.Dennis Smith, Carole Bradt, David A. Wright, Richard G. Kessel, Pere Alberch, Joseph E. Penkala, Fotis C. Kafatos and David Wright. Their work appears in journals such as Journal of Experimental Zoology, Developmental Biology, Differentiation, Science and Results and problems in cell differentiation.

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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