Stephen Subtelny

20 papers receiving 1.0k citations

Peers

Stephen Subtelny
Comparison fields: 5 of 101
  • Physiology 180
  • Reproductive Medicine 154
  • Aging 21
  • Genetics 281
  • Public Health, Environmental and Occupational Health 265
Replace Meredith Gould‐Somero with:
Meredith Gould‐Somero United States
Yasuaki Yoshimoto Japan
Bertrand Picheral France
Marvin R. Kalt United States
Charles A. Lessman United States
Yasuhiro Iwao Japan
Koichi Mita Japan
Richard I. Woodruff United States
Ryusaku Deguchi Japan
Clinton K. Matson United States
Stephen Subtelny relative to Meredith Gould‐Somero United States Meredith Gould‐Somero's profile →
Citations per field
00.5×2.7×
Meredith Gould‐Somero · 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-authors

The 11 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

20 of 20 papers shown
#Work
1
The clonal basis of development
1978240
2
Developmental order, its origin and regulation
1982199
3 1968151
4 196159
5 196359
6 197154
7 195852
8 196648
9 196842
10 196035
11 198131
12 196531
13 197426
14 198325
15 196822
16 198418
17
Gene structure and regulation in development
198313
18 196510
19 19735
20 19805

About Stephen Subtelny

Stephen Subtelny is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Physiology, Genetics and Reproductive Medicine, having authored 20 papers that have together received 1.1k 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), Ovarian function and disorders (2 papers), Pluripotent Stem Cells Research (2 papers) and Fish Ecology and Management Studies (2 papers). The work is most often cited by research in Physiology (180 citations), Reproductive Medicine (154 citations), Aging (21 citations), Genetics (281 citations) and Public Health, Environmental and Occupational Health (265 citations). Stephen Subtelny has collaborated with scholars based in United States. Frequent co-authors include Ian M. Sussex, Paul B. Green, L.Dennis Smith, R.E. Ecker, Carole Bradt, David A. Wright, Richard G. Kessel, Joseph E. Penkala, Pere Alberch and Fotis C. Kafatos. Their work appears in journals such as Developmental Biology, Journal of Experimental Zoology, Results and problems in cell differentiation, Proceedings of the National Academy of Sciences and Journal of Morphology.

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