Ann E. Williams

46 papers receiving 1.1k citations

Peers

Ann E. Williams
Comparison fields: 5 of 158
  • Communication 324
  • Physiology 73
  • Cellular and Molecular Neuroscience 188
  • Toxicology 28
  • Sociology and Political Science 285
Replace Ian Pearce with:
Ian Pearce United Kingdom
Lin Lü China
David Shechter United States
Karine Tremblay Canada
David D. Perlmutter United States
David O’Connell Ireland
Rebecca Lewis United States
Jiyoung Park South Korea
Sumin Zhao United States
Robert J. Mertz United States
Ann E. Williams relative to Ian Pearce United Kingdom Ian Pearce's profile →
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Citations per year

Countries citing papers authored by Ann E. Williams

Since Specialization
Citations

This map shows the geographic impact of Ann 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 Ann 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 Ann E. Williams more than expected).

Fields of papers citing papers by Ann E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ann 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 Ann E. Williams Line = papers co-authored together Ann 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004180
2 1995148
3 198999
4 201281
5 201164
6 197256
7 201650
8 201747
9 201037
10 201436
11 197132
12 200429
13 200828
14 201125
15
Metaphor, Media, and the Market
201323
16 201121
17 198918
18 197118
19 201018
20 201313

About Ann E. Williams

Ann E. Williams is a scholar working on Communication, Sociology and Political Science, Molecular Biology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Media Studies and Communication (7 papers), Social Media and Politics (6 papers), Sarcoma Diagnosis and Treatment (5 papers), Disability Education and Employment (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Autism Spectrum Disorder Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Child Nutrition and Feeding Issues (3 papers). The work is most often cited by research in Communication (324 citations), Physiology (73 citations), Cellular and Molecular Neuroscience (188 citations), Toxicology (28 citations) and Sociology and Political Science (285 citations). Ann E. Williams has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Nojin Kwak, Hoon Lee, Xiaoru Wang, Emma DiStefano, William P. Melega, Debra A. Schmitz, Norman A. Ratcliffe, Thomas G. Heffner, David A. Downs and D. Chas Mangham. Their work appears in journals such as British Journal of Cancer, Information and Learning Sciences, Journal of Microscopy, Journal of Pharmacology and Experimental Therapeutics and Online Information Review.

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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