Tetsushi Fujimoto

27 total papers · 721 total citations
15 papers, 483 citations indexed

About

Tetsushi Fujimoto is a scholar working on Sociology and Political Science, Gender Studies and General Health Professions. According to data from OpenAlex, Tetsushi Fujimoto has authored 15 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 5 papers in Gender Studies and 4 papers in General Health Professions. Recurrent topics in Tetsushi Fujimoto's work include Work-Family Balance Challenges (10 papers), Job Satisfaction and Organizational Behavior (4 papers) and Gender Diversity and Inequality (3 papers). Tetsushi Fujimoto is often cited by papers focused on Work-Family Balance Challenges (10 papers), Job Satisfaction and Organizational Behavior (4 papers) and Gender Diversity and Inequality (3 papers). Tetsushi Fujimoto collaborates with scholars based in Japan, United States and South Korea. Tetsushi Fujimoto's co-authors include Jennifer Glass, Rie Suzuki, Yoshifumi Nakata, Yoshiyuki Nakata, Jiro Takai, Atsuko Suzuki, Jinkook Tak, Gregory A. Laurence and Atsuko Kanai and has published in prestigious journals such as Journal of Health and Social Behavior, Journal of Clinical Nursing and Work and Occupations.

In The Last Decade

Tetsushi Fujimoto

14 papers receiving 427 citations

Author Peers

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

Author						Papers	Cites
Tetsushi Fujimoto	332	195	156	102	86	15	483
Dana E. Friedman	326 1.0×	115 0.6×	145 0.9×	85 0.8×	91 1.1×	21	449
Dana Vannoy	327 1.0×	85 0.4×	204 1.3×	124 1.2×	82 1.0×	15	446
Audrey VandenHeuvel	278 0.8×	140 0.7×	197 1.3×	243 2.4×	43 0.5×	18	503
Mariska van der Horst	300 0.9×	200 1.0×	109 0.7×	131 1.3×	108 1.3×	17	529
Hsin‐Yi Hsiao	210 0.6×	152 0.8×	130 0.8×	48 0.5×	66 0.8×	27	524
Peter J. Stein	323 1.0×	66 0.3×	172 1.1×	117 1.1×	123 1.4×	17	495
Paula Dressel	271 0.8×	123 0.6×	99 0.6×	149 1.5×	60 0.7×	28	503
Anita Ilta Garey	293 0.9×	94 0.5×	168 1.1×	98 1.0×	57 0.7×	23	477
Mona Harrington	203 0.6×	106 0.5×	196 1.3×	27 0.3×	116 1.3×	15	544
Brenda L. Seery	280 0.8×	85 0.4×	83 0.5×	71 0.7×	110 1.3×	11	410

Countries citing papers authored by Tetsushi Fujimoto

Since Specialization

Citations

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

Fields of papers citing papers by Tetsushi Fujimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsushi Fujimoto

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