Daniel R. Grow

2.3k citations
76 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Daniel R. Grow

73 papers receiving 1.6k citations

Peers

Daniel R. Grow
Comparison fields: 5 of 106
  • Reproductive Medicine 1.0k
  • Obstetrics and Gynecology 332
  • Public Health, Environmental and Occupational Health 894
  • Pediatrics, Perinatology and Child Health 436
  • Immunology 132
Replace Jan Gerris with:
Jan Gerris Belgium
Bradley S. Hurst United States
Adrian Shulman Israel
Inn Soo Kang South Korea
José P. Balmaceda United States
Lynn M. Westphal United States
Richard P. Marrs United States
Maw‐Sheng Lee Taiwan
C. De Geyter Switzerland
Charles Kingsland United Kingdom
Daniel R. Grow relative to Jan Gerris Belgium Jan Gerris's profile →
Citations per field
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Jan Gerris · 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-authorship network

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
#Work
1 20245
2 20238
3 20232
4 20221
5 202211
6 20214
7 20211
8 20201
9 20191
10 20191
11 201426
12 20136
13 201121
14 2008253
15 200826
16 200718
17 200020
18 199744
19 199517
20 1994141

About Daniel R. Grow

Daniel R. Grow is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (25 papers), Reproductive Biology and Fertility (24 papers), Ovarian function and disorders (23 papers), Reproductive Health and Technologies (20 papers), Sperm and Testicular Function (11 papers), Prenatal Screening and Diagnostics (9 papers), Uterine Myomas and Treatments (8 papers) and Endometriosis Research and Treatment (6 papers). The work is most often cited by research in Reproductive Medicine (1.0k citations), Obstetrics and Gynecology (332 citations), Public Health, Environmental and Occupational Health (894 citations), Pediatrics, Perinatology and Child Health (436 citations) and Immunology (132 citations). Daniel R. Grow has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include M. Arny, Howard Seltman, Lawrence Engmann, Claudio Benadiva, Rafael A. Fissore, Gary D. Hodgen, Hoi Chang Lee, James P. Toner, John Nulsen 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 Obstetrical & Gynecological Survey.

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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