Daksha Gopal

1.1k citations
36 papers · 807 · h-index 15

Impact in

Papers in

Daksha Gopal

34 papers receiving 795 citations

Peers

Daksha Gopal
Comparison fields: 5 of 48
  • Reproductive Medicine 203
  • Pediatrics, Perinatology and Child Health 431
  • Obstetrics and Gynecology 87
  • Public Health, Environmental and Occupational Health 85
  • Demography 15
Replace Vidar von Dûring with:
Vidar von Dûring Norway
Anne Lærke Spangmose Denmark
B.A. Malizia United States
Faheem Zayed Jordan
Mariano Mascarenhas United Kingdom
Arno M van Peperstraten Netherlands
Zdravka Veleva Finland
Phillip H. Rye United States
Seyit Temel Ceyhan Türkiye
Esmé Kamphuis Netherlands
Daksha Gopal relative to Vidar von Dûring Norway Vidar von Dûring's profile →
Citations per field
00.5×7.2×
Vidar von Dûring · 1×
Citations per year

Countries citing papers authored by Daksha Gopal

Since Specialization
Citations

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

Fields of papers citing papers by Daksha Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015132
2 2017112
3 2015109
4 201647
5 201745
6 201337
7 201936
8 201833
9 201433
10 201630
11 201525
12 202124
13 201624
14 201923
15 201422
16 202213
17 20169
18 20236
19 20216
20 20216

About Daksha Gopal

Daksha Gopal is a scholar working on Pediatrics, Perinatology and Child Health, Neurology, Reproductive Medicine, Infectious Diseases and Surgery, having authored 36 papers that have together received 807 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (15 papers), Prenatal Screening and Diagnostics (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Reproductive Health and Technologies (2 papers), Orthopedic Surgery and Rehabilitation (1 paper), Family and Disability Support Research (1 paper), Ovarian function and disorders (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Reproductive Medicine (203 citations), Pediatrics, Perinatology and Child Health (431 citations), Obstetrics and Gynecology (87 citations), Public Health, Environmental and Occupational Health (85 citations) and Demography (15 citations). Daksha Gopal has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Judy E. Stern, Hafsatou Diop, Barbara Luke, Howard Cabral, Mark D. Hornstein, Milton Kotelchuck, Eugene Declercq, Candice Belanoff, Lan Hoàng and Sunah S. Hwang. Their work appears in journals such as Fertility and Sterility, Journal of Assisted Reproduction and Genetics, American Journal of Obstetrics and Gynecology, Journal of Perinatology and PEDIATRICS.

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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