Daniel B. Williams

2.1k citations
48 papers · 1.1k · h-index 18

Impact in

Papers in

Daniel B. Williams

48 papers receiving 1.1k citations

Peers

Daniel B. Williams
Comparison fields: 5 of 114
  • Reproductive Medicine 286
  • Obstetrics and Gynecology 184
  • Cellular and Molecular Neuroscience 207
  • Orthopedics and Sports Medicine 70
  • Pediatrics, Perinatology and Child Health 157
Replace József Bódis with:
József Bódis Hungary
Paul I. Musey United States
Patrice Lopès France
Edward Ruiz-Narváez United States
Theodore M. King United States
T Fait Czechia
Alessandro Palmieri Italy
Serge Bélisle Canada
Charles W. Lloyd United States
Michael M. Guarnaccia United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel B. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991117
2 199988
3 200488
4 201086
5 200170
6 199664
7 199263
8 200363
9 199656
10 200046
11 200540
12 199125
13 200823
14 201623
15 199521
16 200919
17 200117
18 199517
19 201317
20 197916

About Daniel B. Williams

Daniel B. Williams is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian function and disorders (14 papers), Assisted Reproductive Technology and Twin Pregnancy (11 papers), Reproductive Biology and Fertility (9 papers), Neuroscience and Neuropharmacology Research (6 papers), HIV/AIDS Research and Interventions (5 papers), Endometriosis Research and Treatment (4 papers), Receptor Mechanisms and Signaling (3 papers) and HIV, Drug Use, Sexual Risk (3 papers). The work is most often cited by research in Reproductive Medicine (286 citations), Obstetrics and Gynecology (184 citations), Cellular and Molecular Neuroscience (207 citations), Orthopedics and Sports Medicine (70 citations) and Pediatrics, Perinatology and Child Health (157 citations). Daniel B. Williams has collaborated with scholars based in United States, Zambia and New Zealand. Frequent co-authors include Myles H. Akabas, Paul A. Buescher, Marcia Roth, Wendy M. Kohrt, Ellen F. Binder, Dennis T. Villareal, Michael A. Thomas, Kevin E. Yarasheski, Randall R. Odem and Joseph V. Martin. Their work appears in journals such as Fertility and Sterility, PLoS ONE, Molecular Pharmacology, Journal of Assisted Reproduction and Genetics and Journal of Laparoendoscopic Surgery.

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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