Gary Daniel Smith

7.8k citations
183 papers · 6.1k · h-index 46

Impact in

Papers in

Gary Daniel Smith

169 papers receiving 5.8k citations

Peers

Gary Daniel Smith
Comparison fields: 5 of 143
  • Reproductive Medicine 2.0k
  • Public Health, Environmental and Occupational Health 2.5k
  • Aging 56
  • Pediatrics, Perinatology and Child Health 549
  • Biomedical Engineering 1.2k
Replace András Dinnyés with:
András Dinnyés Hungary
Barbara Barboni Italy
Enkui Duan China
Robert James Swanson United States
christophe ARNOULT France
David Randall Armant United States
Akio Miyamoto Japan
Stefan Schlatt Germany
Lin He China
Iván Rodríguez Switzerland
Gary Daniel Smith relative to András Dinnyés Hungary András Dinnyés's profile →
Citations per field
00.5×2×2.9×
András Dinnyés · 1×
Citations per year

Countries citing papers authored by Gary Daniel Smith

Since Specialization
Citations

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

Fields of papers citing papers by Gary Daniel Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary Daniel Smith. 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 Gary Daniel Smith. The network helps show where Gary Daniel Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010308
2 2003290
3 2009219
4 2010219
5 2006202
6 1996180
7 1998156
8 2003145
9 1996126
10 2010117
11 2002106
12 2001106
13 2002100
14 202099
15 201398
16 198798
17 200593
18 201190
19 201787
20 201682

About Gary Daniel Smith

Gary Daniel Smith is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Pediatrics, Perinatology and Child Health and Physiology, having authored 183 papers that have together received 6.1k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (92 papers), Sperm and Testicular Function (49 papers), Pluripotent Stem Cells Research (22 papers), Reproductive Health and Technologies (19 papers), 3D Printing in Biomedical Research (18 papers), Ovarian function and disorders (16 papers), Microfluidic and Bio-sensing Technologies (16 papers) and Microtubule and mitosis dynamics (10 papers). The work is most often cited by research in Reproductive Medicine (2.0k citations), Public Health, Environmental and Occupational Health (2.5k citations), Aging (56 citations), Pediatrics, Perinatology and Child Health (549 citations) and Biomedical Engineering (1.2k citations). Gary Daniel Smith has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Shuichi Takayama, Jason E. Swain, Jun Ding, Dana A. Ohl, Timothy G. Schuster, Lourdes M. Cabrera, Brenda S. Cho, Paulo Cesar Serafini, Xiaoyue Zhu and Luis Gerardo Villa-Diaz. Their work appears in journals such as Fertility and Sterility, Biology of Reproduction, Journal of Andrology, Brain Research and Reproductive BioMedicine Online.

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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