Sei Jin Ko

2.0k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Sei Jin Ko is a scholar working on Sociology and Political Science, Gender Studies and Experimental and Cognitive Psychology. According to data from OpenAlex, Sei Jin Ko has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 6 papers in Gender Studies and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Sei Jin Ko's work include Social and Intergroup Psychology (9 papers), Gender Diversity and Inequality (5 papers) and Career Development and Diversity (4 papers). Sei Jin Ko is often cited by papers focused on Social and Intergroup Psychology (9 papers), Gender Diversity and Inequality (5 papers) and Career Development and Diversity (4 papers). Sei Jin Ko collaborates with scholars based in United States, Netherlands and Canada. Sei Jin Ko's co-authors include Samuel D. Gosling, Margaret E. Morris, D. Conor Seyle, William B. Swann, Jeffrey T. Polzer, Charles M. Judd, David M. Marx, Irene V. Blair, Adam D. Galinsky and Melody Sadler and has published in prestigious journals such as Journal of Personality and Social Psychology, Academy of Management Review and Psychological Science.

In The Last Decade

Sei Jin Ko

13 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A room with a cue: Personality judgments based on offices and bedrooms.

2002 514 citations Samuel D. Gosling, Sei Jin Ko et al. Journal of Personality and Social Psychology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sei Jin Ko United States	9	573	409	267	243	221	14	1.2k
Philipp Alexander Freund Germany	22	370 0.6×	482 1.2×	420 1.6×	222 0.9×	169 0.8×	53	1.5k
Judith B. White United States	10	568 1.0×	572 1.4×	184 0.7×	189 0.8×	133 0.6×	11	1.2k
Dagmar Stahlberg Germany	27	595 1.0×	465 1.1×	297 1.1×	207 0.9×	462 2.1×	77	1.7k
Erin E. Hardin United States	20	467 0.8×	834 2.0×	238 0.9×	314 1.3×	80 0.4×	51	1.6k
Robert S. Horton United States	14	758 1.3×	729 1.8×	403 1.5×	435 1.8×	203 0.9×	20	1.7k
Geoffrey J. Leonardelli Canada	16	761 1.3×	656 1.6×	244 0.9×	92 0.4×	337 1.5×	31	1.6k
Shimul Melwani United States	12	375 0.7×	446 1.1×	388 1.5×	100 0.4×	128 0.6×	19	1.2k
Ryan L. Boyd United States	22	586 1.0×	598 1.5×	229 0.9×	293 1.2×	120 0.5×	90	1.7k
Alison R. Fragale United States	10	893 1.6×	606 1.5×	250 0.9×	85 0.3×	143 0.6×	14	1.4k
Nicolas Michinov France	20	515 0.9×	561 1.4×	214 0.8×	194 0.8×	78 0.4×	57	1.6k

Countries citing papers authored by Sei Jin Ko

Since Specialization

Citations

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

Fields of papers citing papers by Sei Jin Ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sei Jin Ko. 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 Sei Jin Ko. The network helps show where Sei Jin Ko may publish in the future.

Co-authorship network of co-authors of Sei Jin Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Sei Jin Ko. A scholar is included among the top collaborators of Sei Jin Ko 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 Sei Jin Ko. Sei Jin Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Marx, David M., et al.. (2024). “Are they like me?”: Assessing college math students’ academic and personal similarity perceptions of female peer role models. Social Psychology of Education. 27(4). 2031–2058.

2.

Ko, Sei Jin, et al.. (2019). Implementing a Peer Role Model Program in College Calculus Classes to Broaden Women’s Participation in STEM. PRIMUS. 30(3). 349–366. 6 indexed citations

3.

Ko, Sei Jin & David M. Marx. (2018). Assessing High School Students’ Cost Concerns About Pursuing STEM: “Is It Worth It?”. Hispanic Journal of Behavioral Sciences. 41(1). 29–41. 3 indexed citations

4.

Ko, Sei Jin, Melody Sadler, & Adam D. Galinsky. (2014). The Sound of Power. Psychological Science. 26(1). 3–14. 57 indexed citations

5.

Marx, David M. & Sei Jin Ko. (2012). Superstars “like” me: The effect of role model similarity on performance under threat. European Journal of Social Psychology. 42(7). 807–812. 64 indexed citations

6.

Marx, David M. & Sei Jin Ko. (2011). Refocusing or Recycling? The Stereotype Inoculation Model and Its Relationship With Research on Ingroup Role Models. Psychological Inquiry. 22(4). 280–284. 2 indexed citations

7.

Ko, Sei Jin, Charles M. Judd, & Diederik A. Stapel. (2009). Stereotyping Based on Voice in the Presence of Individuating Information: Vocal Femininity Affects Perceived Competence but Not Warmth. Personality and Social Psychology Bulletin. 35(2). 198–211. 43 indexed citations

8.

Marx, David M., Sei Jin Ko, & Ray Friedman. (2009). The “Obama Effect”: How a salient role model reduces race-based performance differences. Journal of Experimental Social Psychology. 45(4). 953–956. 9 indexed citations

9.

Ko, Sei Jin, Dominique Müller, Charles M. Judd, & Diederik A. Stapel. (2007). Sneaking in through the back door: How category-based stereotype suppression leads to rebound in feature-based effects. Journal of Experimental Social Psychology. 44(3). 833–839. 3 indexed citations

10.

Ko, Sei Jin, Charles M. Judd, & Irene V. Blair. (2006). What the Voice Reveals: Within- and Between-Category Stereotyping on the Basis of Voice. Personality and Social Psychology Bulletin. 32(6). 806–819. 83 indexed citations

11.

Swann, William B., Jeffrey T. Polzer, D. Conor Seyle, & Sei Jin Ko. (2004). Finding Value in Diversity: Verification of Personal and Social Self-Views in Diverse Groups. Academy of Management Review. 29(1). 9–9. 102 indexed citations

12.

Swann, William B., Jeffrey T. Polzer, D. Conor Seyle, & Sei Jin Ko. (2004). Finding Value in Diversity: Verification of Personal and Social Self-Views in Diverse Groups. Academy of Management Review. 29(1). 9–27. 272 indexed citations

13.

Gosling, Samuel D., et al.. (2002). A room with a cue: Personality judgments based on offices and bedrooms.. Journal of Personality and Social Psychology. 82(3). 379–398. 514 indexed citations breakdown →

14.

Gosling, Samuel D., et al.. (2002). A room with a cue: Personality judgments based on offices and bedrooms.. Journal of Personality and Social Psychology. 82(3). 379–398. 90 indexed citations

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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