Daniel R. Grow

2.4k citations
77 papers · 1.7k · h-index 22

Impact in

Papers in

Daniel R. Grow

73 papers receiving 1.6k citations

Peers

Daniel R. Grow
Comparison fields: 5 of 105
  • Reproductive Medicine 791
  • Obstetrics and Gynecology 228
  • Public Health, Environmental and Occupational Health 622
  • Pediatrics, Perinatology and Child Health 248
  • Surgery 221
Replace Bradley S. Hurst with:
Bradley S. Hurst United States
Jan Gerris Belgium
Walter Vegetti Italy
Carl J. Pauerstein United States
José P. Balmaceda United States
Inn Soo Kang South Korea
Richard P. Marrs United States
Richard P. Dickey United States
E. A. Lenton United Kingdom
C. De Geyter Germany
Daniel R. Grow relative to Bradley S. Hurst United States Bradley S. Hurst's profile →
Citations per field
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Bradley S. Hurst · 1×
Citations per year

Countries citing papers authored by Daniel R. Grow

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Grow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008255
2 1994141
3 200489
4
Treatment of adenomyosis with long-term GnRH analogues: a case report.
199179
5 202057
6
Virtual reality and computer-enhanced training devices equally improve laparoscopic surgical skill in novices.
200956
7 199852
8 201048
9 199648
10 202047
11 199744
12 200642
13 200237
14 199635
15 201929
16 201427
17 200826
18 201426
19 201025
20 201925

About Daniel R. Grow

Daniel R. Grow is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Surgery, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ovarian function and disorders (19 papers), Reproductive Biology and Fertility (14 papers), Assisted Reproductive Technology and Twin Pregnancy (11 papers), Reproductive Health and Technologies (9 papers), Sperm and Testicular Function (8 papers), Prenatal Screening and Diagnostics (7 papers), Uterine Myomas and Treatments (6 papers) and Endometriosis Research and Treatment (4 papers). The work is most often cited by research in Reproductive Medicine (791 citations), Obstetrics and Gynecology (228 citations), Public Health, Environmental and Occupational Health (622 citations), Pediatrics, Perinatology and Child Health (248 citations) and Surgery (221 citations). Daniel R. Grow has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include M. Arny, Lawrence Engmann, Claudio Benadiva, Howard Seltman, Hoi Chang Lee, Gary D. Hodgen, John Nulsen, James P. Toner, Rafael A. Fissore and Sergio Oehninger. Their work appears in journals such as Fertility and Sterility, Journal of Assisted Reproduction and Genetics, Obstetrics and Gynecology Clinics of North America, Reproductive BioMedicine Online and Human Reproduction.

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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