Martin Dym

14.5k citations
137 papers · 11.7k indexed · 4 hit papers · h-index 58

Impact in

Papers in

Martin Dym

137 papers receiving 11.3k citations

Hit Papers

Cellular Source and Mechanisms of High Transcriptome Complexity in the Mammalian Testis 2013 · 419 citations
41919702026198820074008001.2k

Peers

Martin Dym
Comparison fields: 5 of 152
  • Reproductive Medicine 7.1k
  • Public Health, Environmental and Occupational Health 3.9k
  • Genetics 3.1k
  • Physiology 374
  • Molecular Biology 4.8k
Replace Y. Clermont with:
Y. Clermont Canada
Wolfgang Engel Germany
Robert Sullivan Canada
Yoshitake Nishimune Japan
Michael D. Griswold United States
Edward M. Eddy United States
Jonathan L. Tilly United States
John P. Lydon United States
J. Anton Grootegoed Netherlands
Atsuo Ogura Japan
Martin Dym relative to Y. Clermont Canada Y. Clermont's profile →
Citations per field
00.5×1.5×1.8×
Y. Clermont · 1×
Citations per year

Countries citing papers authored by Martin Dym

Since Specialization
Citations

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

Fields of papers citing papers by Martin Dym

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Cellular Source and Mechanisms of High Transcriptome Complexity in the Mammalian Testis
Hit paper breakdown →
2013419
2 2009151
3 2007150
4 200534
5 200553
6 200448
7 200332
8 200360
9 200380
10 200216
11 200179
12 200164
13 1995174
14 199417
15 199117
16 199125
17 199128
18 199019
19 199065
20 198948

About Martin Dym

Martin Dym is a scholar working on Reproductive Medicine, Immunology and Allergy, Public Health, Environmental and Occupational Health, Genetics and Urology, having authored 137 papers that have together received 11.7k indexed citations. Recurring topics across this work include Sperm and Testicular Function (98 papers), Reproductive Biology and Fertility (46 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (24 papers), Testicular diseases and treatments (12 papers), Hormonal and reproductive studies (11 papers), Sexual Differentiation and Disorders (11 papers), Drug Transport and Resistance Mechanisms (10 papers) and Cell Adhesion Molecules Research (10 papers). The work is most often cited by research in Reproductive Medicine (7.1k citations), Public Health, Environmental and Occupational Health (3.9k citations), Genetics (3.1k citations), Physiology (374 citations) and Molecular Biology (4.8k citations). Martin Dym has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Don W. Fawcett, Mark A. Hadley, Maria Kokkinaki, Zuping He, Neelakanta Ravindranath, Marie‐Claude Hofmann, Stephen W. Byers, Hynda K. Kleinman, Jiji Jiang and Daniel Djakiew. Their work appears in journals such as Biology of Reproduction, Journal of Andrology, Reproduction, The Anatomical Record and 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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