Tom Waidzunas

23 total papers · 965 total citations
15 papers, 627 citations indexed

About

Tom Waidzunas is a scholar working on Gender Studies, Social Psychology and Clinical Psychology. According to data from OpenAlex, Tom Waidzunas has authored 15 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Gender Studies, 4 papers in Social Psychology and 3 papers in Clinical Psychology. Recurrent topics in Tom Waidzunas's work include LGBTQ Health, Identity, and Policy (4 papers), Gender Diversity and Inequality (3 papers) and Gender Roles and Identity Studies (2 papers). Tom Waidzunas is often cited by papers focused on LGBTQ Health, Identity, and Policy (4 papers), Gender Diversity and Inequality (3 papers) and Gender Roles and Identity Studies (2 papers). Tom Waidzunas collaborates with scholars based in United States and Japan. Tom Waidzunas's co-authors include Erin A. Cech, Stephanie Farrell, Steven Epstein, Adrienne Minerick and Julia A. Ericksen and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, Science Advances and Social Studies of Science.

In The Last Decade

Tom Waidzunas

13 papers receiving 590 citations

Hit Papers

Systemic inequalities for... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tom Waidzunas 216 207 202 164 121 15 627
Lily Ko 185 0.9× 436 2.1× 153 0.8× 127 0.8× 382 3.2× 10 700
Jennifer M. Peach 134 0.6× 169 0.8× 291 1.4× 366 2.2× 124 1.0× 15 745
Jennifer M. Blaney 168 0.8× 288 1.4× 141 0.7× 68 0.4× 305 2.5× 37 648
Corbin M. Campbell 154 0.7× 79 0.4× 223 1.1× 104 0.6× 452 3.7× 27 779
Jane Jorgenson 182 0.8× 81 0.4× 124 0.6× 320 2.0× 103 0.9× 31 626
Dorothy D. Nevill 129 0.6× 315 1.5× 175 0.9× 107 0.7× 268 2.2× 32 634
T. Elon Dancy 100 0.5× 152 0.7× 179 0.9× 299 1.8× 401 3.3× 25 625
Min Wan 139 0.6× 134 0.6× 185 0.9× 229 1.4× 80 0.7× 30 583
Sapna B. Chopra 77 0.4× 347 1.7× 154 0.8× 78 0.5× 283 2.3× 10 565
Karyn L. Lewis 100 0.5× 267 1.3× 163 0.8× 118 0.7× 214 1.8× 13 650

Countries citing papers authored by Tom Waidzunas

Since Specialization
Citations

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

Fields of papers citing papers by Tom Waidzunas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Waidzunas

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Waidzunas. A scholar is included among the top collaborators of Tom Waidzunas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Waidzunas. Tom Waidzunas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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