Gail Kligman

75 total papers · 2.5k total citations
30 papers, 958 citations indexed

About

Gail Kligman is a scholar working on Sociology and Political Science, History and Political Science and International Relations. According to data from OpenAlex, Gail Kligman has authored 30 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 5 papers in History and 4 papers in Political Science and International Relations. Recurrent topics in Gail Kligman's work include Historical Gender and Feminism Studies (6 papers), Religious Studies and Spiritual Practices (4 papers) and Eastern European Communism and Reforms (3 papers). Gail Kligman is often cited by papers focused on Historical Gender and Feminism Studies (6 papers), Religious Studies and Spiritual Practices (4 papers) and Eastern European Communism and Reforms (3 papers). Gail Kligman collaborates with scholars based in United States, United Kingdom and Puerto Rico. Gail Kligman's co-authors include Susan Gál, Robert Legvold, France Donnay, Katherine Verdery, Soraya Tremayne, Roger D. Abrahams, Jill M. Bystydzienski, Maria Todorova, Philip G. Roeder and Irina Paperno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Contemporary Sociology A Journal of Reviews and Foreign Affairs.

In The Last Decade

Gail Kligman

27 papers receiving 739 citations

Author Peers

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

Author Last Decade Papers Cites
Gail Kligman 545 358 320 75 73 30 958
Sara Smith 562 1.0× 230 0.6× 156 0.5× 37 0.5× 72 1.0× 47 922
Ann Russo 651 1.2× 198 0.6× 437 1.4× 62 0.8× 55 0.8× 24 1.1k
Jane F. Collier 468 0.9× 257 0.7× 161 0.5× 46 0.6× 71 1.0× 43 1.1k
Meg Luxton 651 1.2× 182 0.5× 312 1.0× 41 0.5× 166 2.3× 34 1.0k
Christine Delphy 695 1.3× 229 0.6× 454 1.4× 140 1.9× 60 0.8× 68 1.2k
Rosemary Hennessy 578 1.1× 231 0.6× 338 1.1× 50 0.7× 45 0.6× 22 1.0k
Éric Fassin 817 1.5× 391 1.1× 210 0.7× 169 2.3× 60 0.8× 98 1.1k
Banu Gökarıksel 826 1.5× 408 1.1× 194 0.6× 28 0.4× 34 0.5× 35 1.2k
Barbara Laslett 590 1.1× 147 0.4× 205 0.6× 69 0.9× 118 1.6× 42 973
Saskia E. Wieringa 830 1.5× 317 0.9× 336 1.1× 49 0.7× 66 0.9× 72 1.2k

Countries citing papers authored by Gail Kligman

Since Specialization
Citations

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

Fields of papers citing papers by Gail Kligman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Kligman

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Kligman. A scholar is included among the top collaborators of Gail Kligman 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 Gail Kligman. Gail Kligman 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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