Janice E. Williams

57 papers receiving 2.2k citations

Janice E. Williams's Hit Papers

Insights Into Causal Pathways for Ischemic Heart Disease 2004 · 844 citations
8440+7+14Years since publication250500750

Peers

Janice E. Williams
Comparison fields: 5 of 135
  • Behavioral Neuroscience 138
  • Clinical Psychology 661
  • Cardiology and Cardiovascular Medicine 413
  • Biological Psychiatry 35
  • Applied Psychology 72
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Citations per year

Countries citing papers authored by Janice E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Janice E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Janice 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 Janice E. Williams Line = papers co-authored together Janice 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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Insights Into Causal Pathways for Ischemic Heart Disease
Hit paper breakdown →
2004844
2 2000222
3 2004188
4 200294
5 200184
6 201075
7 200472
8 200359
9 199159
10 199548
11 200048
12 200544
13 200738
14 198735
15 199935
16 200834
17 201433
18 199532
19
An Analysis of the Reliability and Validity of Bandura's Multidimensional Scales of Perceived Self-Efficacy.
199632
20 200931

About Janice E. Williams

Janice E. Williams is a scholar working on Cardiology and Cardiovascular Medicine, Education, Social Psychology, Experimental and Cognitive Psychology and Clinical Psychology, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (13 papers), Education, Achievement, and Giftedness (8 papers), Motivation and Self-Concept in Sports (5 papers), Innovative Teaching and Learning Methods (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Advanced Clustering Algorithms Research (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Medical Education and Admissions (3 papers). The work is most often cited by research in Behavioral Neuroscience (138 citations), Clinical Psychology (661 citations), Cardiology and Cardiovascular Medicine (413 citations), Biological Psychiatry (35 citations) and Applied Psychology (72 citations). Janice E. Williams has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Shanta R. Dube, Maxia Dong, Robert F. Anda, Vincent J. Felitti, Daniel P. Chapman, Wayne H. Giles, F. Javier Nieto, Herman A. Tyroler, Catherine P. Sanford and Ilene C. Siegler. Their work appears in journals such as Stroke, Educational and Psychological Measurement, Psychology in the Schools, Circulation and journal for the education of the gifted.

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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