John E. Williams

8.2k citations
189 papers · 5.7k · 1 hit paper · h-index 43

Impact in

    • Gender Roles and Identity Studies
    • Gender Diversity and Inequality
    • Media, Gender, and Advertising

Papers in

John E. Williams

186 papers receiving 5.2k citations

John E. Williams's Hit Papers

Measuring Sex Stereotypes: A Multination Study 1982 · 417 citations
4170+14+29Years since publication100200300400

Peers

John E. Williams
Comparison fields: 5 of 195
  • Gender Studies 1.1k
  • Parasitology 325
  • Social Psychology 955
  • Experimental and Cognitive Psychology 588
  • Pediatrics, Perinatology and Child Health 758
Replace Judith Α. Cook with:
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Citations per year

Countries citing papers authored by John E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by John E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 189 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Measuring Sex Stereotypes: A Multination Study
Hit paper breakdown →
1982417
2
Measuring sex stereotypes : a thirty-nation study
1982374
3 1978271
4 2000161
5 1975143
6 1975118
7
Measuring sex stereotypes: A multination study, Rev. ed.
1990111
8 197799
9 198398
10 201084
11 199882
12 197780
13 197277
14 196772
15 200572
16 201169
17 201269
18 197768
19 200767
20 201966

About John E. Williams

John E. Williams is a scholar working on Pediatrics, Perinatology and Child Health, Gender Studies, Social Psychology, Sociology and Political Science and Education, having authored 189 papers that have together received 5.7k indexed citations. Recurring topics across this work include Global Maternal and Child Health (34 papers), Gender Roles and Identity Studies (19 papers), Early Childhood Education and Development (12 papers), Color perception and design (11 papers), Media, Gender, and Advertising (10 papers), Social and Intergroup Psychology (10 papers), Pain Management and Opioid Use (9 papers) and Diverse Educational Innovations Studies (7 papers). The work is most often cited by research in Gender Studies (1.1k citations), Parasitology (325 citations), Social Psychology (955 citations), Experimental and Cognitive Psychology (588 citations) and Pediatrics, Perinatology and Child Health (758 citations). John E. Williams has collaborated with scholars based in United States, Ghana and United Kingdom. Frequent co-authors include Deborah L. Best, P.G. Sargeaunt, Abraham Hodgson, Donna A. Boswell, Kenneth O. McGraw, Raymond Aborigo, Cheryl A. Moyer, J. Kenneth Morland, Susan M. Bennett and Philip Baba Adongo. Their work appears in journals such as Child Development, PLoS ONE, Global Health Action, BMC Pregnancy and Childbirth and BMC Health Services Research.

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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