Lynn Williams

110 papers receiving 3.4k citations

Peers

Lynn Williams
Comparison fields: 5 of 172
  • Health 457
  • Applied Microbiology and Biotechnology 100
  • Cardiology and Cardiovascular Medicine 616
  • Modeling and Simulation 140
  • Transplantation 59
Replace Bridget M. Kuehn with:
Bridget M. Kuehn United States
David S. Jones United States
Wolfgang Greiner Germany
Sophie Hill Australia
Jan De Maeseneer Belgium
Ronald C. Hershow United States
John B. Lynch United States
Chung-Chou H. Chang United States
Haomiao Jia United States
Dinah Gould United Kingdom
Lynn Williams relative to Bridget M. Kuehn United States Bridget M. Kuehn's profile →
Citations per field
00.5×3.7×
Bridget M. Kuehn · 1×
Citations per year

Countries citing papers authored by Lynn Williams

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996339
2 2020190
3 2007190
4 2009125
5 1985114
6 202197
7 201597
8 201896
9 202192
10 201087
11 199883
12 198681
13 200877
14 201174
15 202171
16 198564
17 201162
18 202159
19 201256
20 202153

About Lynn Williams

Lynn Williams is a scholar working on Surgery, Clinical Psychology, Cardiology and Cardiovascular Medicine, Epidemiology and Health, having authored 114 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (14 papers), Vaccine Coverage and Hesitancy (11 papers), Eating Disorders and Behaviors (9 papers), Behavioral Health and Interventions (6 papers), Hip disorders and treatments (6 papers), Heart Rate Variability and Autonomic Control (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Orthopedic Infections and Treatments (5 papers). The work is most often cited by research in Health (457 citations), Applied Microbiology and Biotechnology (100 citations), Cardiology and Cardiovascular Medicine (616 citations), Modeling and Simulation (140 citations) and Transplantation (59 citations). Lynn Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Susan Rasmussen, Ronan E. O’Carroll, David Young, Paul Flowers, Rory C. O’Connor, Nicola Cogan, Allyson Gallant, Louise A. Brown, John R. Morgan and Madeleine Grealy. Their work appears in journals such as Journal of Health Psychology, Psychology and Health, Psychology Health & Medicine, Journal of Psychosomatic Research and British Journal of Health Psychology.

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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