Virginia P. Williams

1.5k citations
30 papers · 1.1k indexed · h-index 17

Virginia P. Williams

29 papers receiving 1.0k citations

Peers

Virginia P. Williams
Comparison fields: 5 of 114
  • Insect Science 402
  • Ecology, Evolution, Behavior and Systematics 321
  • Genetics 381
  • Developmental Neuroscience 37
  • Obstetrics and Gynecology 66
Replace Audrey S. Chang with:
Audrey S. Chang United States
Massimo Montisci Italy
Elizabeth A. Mitchell United Kingdom
Maureen Carter Australia
William S. Blau United States
Yu Zang China
M. Williamson United States
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Celso Ramón García United States
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Virginia P. Williams relative to Audrey S. Chang United States Audrey S. Chang's profile →
Citations per field
00.5×12.3×
Audrey S. Chang · 1×
Citations per year

Countries citing papers authored by Virginia P. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Virginia P. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201820
2 201717
3 201315
4 201213
5 201121
6 20117
7 201059
8 200916
9 200914
10 200990
11 200815
12 2006103
13 200629
14 2004147
15 20034
16 19969
17
Surrealism, quantum philosophy, and World War I
19870
18 1985108
19 19771
20 197414

About Virginia P. Williams

Virginia P. Williams is a scholar working on Developmental Neuroscience, Equine and Insect Science, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health, psychology, and well-being (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Pediatric Pain Management Techniques (5 papers), Healthcare professionals’ stress and burnout (5 papers), Insect and Pesticide Research (4 papers), Cardiac Health and Mental Health (4 papers), Workplace Health and Well-being (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). The work is most often cited by research in Insect Science (402 citations), Ecology, Evolution, Behavior and Systematics (321 citations) and Genetics (381 citations). Virginia P. Williams has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Anita M. Collins, Jay D. Evans, Redford B. Williams, Günter F. Weirich, T. J. Benedetti, Richard Kates, Thomas J. Caperna, Wesley M. Garrett, Gennaro Di Prisco and Jeffery S. Pettis. Their work appears in journals such as Environmental Science & Technology, Journal of Agricultural and Food Chemistry and The Journal of Urology.

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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