Daniel B. Williams

58 papers receiving 1.5k citations

Peers

Daniel B. Williams
Comparison fields: 5 of 122
  • Reproductive Medicine 234
  • Obstetrics and Gynecology 187
  • Infectious Diseases 280
  • Public Health, Environmental and Occupational Health 322
  • Cellular and Molecular Neuroscience 210
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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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017223
2 1991123
3 200493
4 199990
5 201090
6 200175
7 199671
8 199270
9 200370
10 201864
11 199660
12 200047
13 200541
14 202032
15 199128
16 202127
17 200825
18
Core Public Health Functions for New Zealand.
201524
19 199524
20 201624

About Daniel B. Williams

Daniel B. Williams is a scholar working on Reproductive Medicine, Infectious Diseases, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (13 papers), Ovarian function and disorders (11 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Reproductive Biology and Fertility (5 papers), HIV, Drug Use, Sexual Risk (5 papers), Ion channel regulation and function (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Reproductive Medicine (234 citations), Obstetrics and Gynecology (187 citations), Infectious Diseases (280 citations), Public Health, Environmental and Occupational Health (322 citations) and Cellular and Molecular Neuroscience (210 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 S. Roth, Ellen F. Binder, Wendy M. Kohrt, Kevin E. Yarasheski, Dennis Tan Villareal, Michael A. Thomas, Randall R. Odem and Warren S. Grundfest. Their work appears in journals such as Fertility and Sterility, JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS ONE, Journal of Laparoendoscopic Surgery and Journal of Assisted Reproduction and Genetics.

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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