Daniel Chai

2.2k citations
67 papers · 1.8k · h-index 22

Impact in

Papers in

Daniel Chai

67 papers receiving 1.7k citations

Peers

Daniel Chai
Comparison fields: 5 of 89
  • Reproductive Medicine 863
  • Obstetrics and Gynecology 484
  • Transplantation 122
  • Immunology 496
  • Microbiology 84
Replace B. Anne Croy with:
B. Anne Croy Canada
Margaret B. Parr United States
Jianhong Zhang Canada
Ricardo A. Margni Argentina
Robert Markham Australia
Rachel Bras‐Gonçalves France
Olympe Chazara United Kingdom
Jeremy K. Brown United Kingdom
Charanjit S. Bambra Kenya
Alan C. Menge United States
Daniel Chai relative to B. Anne Croy Canada B. Anne Croy's profile →
Citations per field
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B. Anne Croy · 1×
Citations per year

Countries citing papers authored by Daniel Chai

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005110
2 2003102
3 2009102
4 1998101
5 200298
6 200694
7 201087
8 201084
9 201080
10 201071
11 200770
12 201258
13 201544
14 200044
15 200743
16 201042
17 200136
18 201530
19 199728
20 201228

About Daniel Chai

Daniel Chai is a scholar working on Reproductive Medicine, Immunology, Obstetrics and Gynecology, Microbiology and Public Health, Environmental and Occupational Health, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (26 papers), Reproductive System and Pregnancy (14 papers), Uterine Myomas and Treatments (7 papers), Reproductive tract infections research (6 papers), Sperm and Testicular Function (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Reproductive Biology and Fertility (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Reproductive Medicine (863 citations), Obstetrics and Gynecology (484 citations), Transplantation (122 citations), Immunology (496 citations) and Microbiology (84 citations). Daniel Chai has collaborated with scholars based in Kenya, United States and Belgium. Frequent co-authors include Thomas D’Hooghe, Jason M. Mwenda, Asgerally T. Fazleabas, Cleophas Kyama, Allison Brudney, J.M. Mwenda, Serdar E. Bulun, Atunga Nyachieo, David Langoi and Silvio Cuneo. Their work appears in journals such as Fertility and Sterility, Journal of Medical Primatology, Human Reproduction, Gynecologic and Obstetric Investigation and Reproductive Sciences.

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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