Jane Terpstra-Tong

34 total papers · 938 total citations
11 papers, 393 citations indexed

About

Jane Terpstra-Tong is a scholar working on Social Psychology, Sociology and Political Science and Strategy and Management. According to data from OpenAlex, Jane Terpstra-Tong has authored 11 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 4 papers in Sociology and Political Science and 2 papers in Strategy and Management. Recurrent topics in Jane Terpstra-Tong's work include Cultural Differences and Values (4 papers), Social and Intergroup Psychology (2 papers) and Corporate Finance and Governance (2 papers). Jane Terpstra-Tong is often cited by papers focused on Cultural Differences and Values (4 papers), Social and Intergroup Psychology (2 papers) and Corporate Finance and Governance (2 papers). Jane Terpstra-Tong collaborates with scholars based in Malaysia, Macao and United States. Jane Terpstra-Tong's co-authors include David A. Ralston, Robert H. Terpstra, Xueli Wang, Carolyn P. Egri, John Hassard, Jackie Sheehan, Jonathan Morris, Isabelle Maignan, Jonathan Morris and Nancy K. Napier and has published in prestigious journals such as Strategic Management Journal, Asia Pacific Journal of Management and Journal of International Management.

In The Last Decade

Jane Terpstra-Tong

11 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Jane Terpstra-Tong 154 133 103 92 47 11 393
Irina Naoumova 172 1.1× 168 1.3× 105 1.0× 41 0.4× 38 0.8× 20 411
Leslie A. Toombs 151 1.0× 127 1.0× 96 0.9× 70 0.8× 44 0.9× 15 397
Nikolaus Beck 212 1.4× 68 0.5× 153 1.5× 73 0.8× 69 1.5× 17 429
Heather R. Parola 86 0.6× 63 0.5× 130 1.3× 94 1.0× 28 0.6× 8 399
P.E.M. Ligthart 102 0.7× 43 0.3× 134 1.3× 101 1.1× 66 1.4× 18 401
Alex Z. Kondra 182 1.2× 45 0.3× 143 1.4× 89 1.0× 36 0.8× 7 431
B. De Brabander 80 0.5× 74 0.6× 86 0.8× 88 1.0× 47 1.0× 16 428
Robert Ochoki Nyamori 115 0.7× 78 0.6× 133 1.3× 75 0.8× 43 0.9× 13 354
Jeff DeGraff 151 1.0× 60 0.5× 164 1.6× 48 0.5× 19 0.4× 10 419
Ron Ashkenas 201 1.3× 104 0.8× 107 1.0× 32 0.3× 50 1.1× 17 401

Countries citing papers authored by Jane Terpstra-Tong

Since Specialization
Citations

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

Fields of papers citing papers by Jane Terpstra-Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Terpstra-Tong. 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 Jane Terpstra-Tong. The network helps show where Jane Terpstra-Tong may publish in the future.

Co-authorship network of co-authors of Jane Terpstra-Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Terpstra-Tong. A scholar is included among the top collaborators of Jane Terpstra-Tong 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 Jane Terpstra-Tong. Jane Terpstra-Tong 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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