Ming D. Leung

637 total citations
22 papers, 440 citations indexed

About

Ming D. Leung is a scholar working on Sociology and Political Science, Economics and Econometrics and Marketing. According to data from OpenAlex, Ming D. Leung has authored 22 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 11 papers in Economics and Econometrics and 4 papers in Marketing. Recurrent topics in Ming D. Leung's work include Labor market dynamics and wage inequality (10 papers), Digital Economy and Work Transformation (7 papers) and Sharing Economy and Platforms (4 papers). Ming D. Leung is often cited by papers focused on Labor market dynamics and wage inequality (10 papers), Digital Economy and Work Transformation (7 papers) and Sharing Economy and Platforms (4 papers). Ming D. Leung collaborates with scholars based in United States, Italy and Canada. Ming D. Leung's co-authors include Giacomo Negro, Amanda Sharkey, Aseem Kaul, Stephen M. Shortell, Michael T. Hannan, Yue Wang, Stephen Kearing, Hector P. Rodríguez, Hayagreeva Rao and Joseph F. Porac and has published in prestigious journals such as Administrative Science Quarterly, American Sociological Review and Management Science.

In The Last Decade

Ming D. Leung

18 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming D. Leung United States	8	192	137	96	88	73	22	440
Manuela Pérez‐Pérez Spain	14	178 0.9×	112 0.8×	49 0.5×	182 2.1×	222 3.0×	20	579
Kalinda Ukanwa United States	4	165 0.9×	85 0.6×	38 0.4×	126 1.4×	95 1.3×	4	424
Jacqueline Fendt France	9	114 0.6×	74 0.5×	40 0.4×	141 1.6×	92 1.3×	24	413
Peter Kalum Schou Norway	9	302 1.6×	68 0.5×	142 1.5×	70 0.8×	66 0.9×	22	493
Guy Parrott United Kingdom	5	234 1.2×	97 0.7×	121 1.3×	134 1.5×	47 0.6×	6	493
Jordan Robert Gamble United Kingdom	12	162 0.8×	68 0.5×	133 1.4×	114 1.3×	80 1.1×	18	434
J. Cameron Verhaal United States	11	192 1.0×	61 0.4×	145 1.5×	161 1.8×	162 2.2×	19	572
Frances Fabian United States	10	148 0.8×	48 0.4×	67 0.7×	139 1.6×	173 2.4×	24	465
Samer Elhajjar Singapore	10	154 0.8×	68 0.5×	118 1.2×	61 0.7×	44 0.6×	27	378
Tengjian Zou China	7	108 0.6×	80 0.6×	35 0.4×	71 0.8×	190 2.6×	16	433

Countries citing papers authored by Ming D. Leung

Since Specialization

Citations

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

Fields of papers citing papers by Ming D. Leung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming D. Leung. 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 Ming D. Leung. The network helps show where Ming D. Leung may publish in the future.

Co-authorship network of co-authors of Ming D. Leung

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

All Works

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20 of 20 papers shown

Leung, Ming D., et al.. (2025). Applying While Black: The Collateral Effects of Racial Differences in Work Histories. Administrative Science Quarterly. 70(4). 923–957.

Leung, Ming D., et al.. (2025). Reactions, Revisions, and Rehiring: Changes in Employers’ Gendered Preferences in Online Labor Markets. Organization Science. 36(6). 2087–2107.

Yang, Tiantian, et al.. (2025). Approaching or avoiding? Gender asymmetry in reactions to prior job search outcomes by gig workers in female- versus male-typed job domains. Social Forces. 103(4). 1350–1373.

Leung, Ming D., et al.. (2023). Effect of Corporate Environment Social and Governance Reputation on Employee Turnover. SSRN Electronic Journal. 1 indexed citations

Toro, Allyson L., et al.. (2022). Spleen Tyrosine Kinase Contributes to Müller Glial Expression of Proangiogenic Cytokines in Diabetes. Investigative Ophthalmology & Visual Science. 63(11). 25–25. 3 indexed citations

Rodríguez, Hector P., et al.. (2020). The Impact Of Decision Aids On Adults Considering Hip Or Knee Surgery. Health Affairs. 39(1). 100–107. 9 indexed citations

Kaul, Aseem, et al.. (2019). Strategic Redundancy in the Use of Big Data: Evidence from a Two-Sided Labor Market. Strategy Science. 4(4). 298–322. 8 indexed citations

Leung, Ming D., et al.. (2017). Man Versus Machine: The Effect of Algorithms on Employer Search and Hiring Behavior. Academy of Management Proceedings. 2017(1). 16697–16697. 1 indexed citations

Leung, Ming D.. (2017). Learning to Hire? Hiring as a Dynamic Experiential Learning Process in an Online Market for Contract Labor. Management Science. 64(12). 5651–5668. 34 indexed citations

10.

Leung, Ming D.. (2016). Learning to Hire? Hiring as a Dynamic Experiential Process in an Online Market for Contract Labor. SSRN Electronic Journal. 2 indexed citations

11.

Cattani, Gino, et al.. (2016). Categories and Competition. Academy of Management Proceedings. 2016(1). 17158–17158. 5 indexed citations

12.

Bechky, Beth A., Ming D. Leung, Natalia Levina, Hatim A. Rahman, & Melissa Valentine. (2016). "Online Labor Markets: Fad, Fringe, or Future of Work?". Academy of Management Proceedings. 2016(1). 14694–14694. 1 indexed citations

13.

Leung, Ming D.. (2016). The Dilemma of Mobility: The Differential Effects of Women and Men's Erratic Career Paths. SSRN Electronic Journal. 1 indexed citations

14.

Leung, Ming D., et al.. (2015). For Love or Money? Gender Differences in How One Approaches Getting a Job. SSRN Electronic Journal. 2 indexed citations

15.

Leung, Ming D.. (2014). Dilettante or Renaissance Person? How the Order of Job Experiences Affects Hiring in an External Labor Market. American Sociological Review. 79(1). 136–158. 136 indexed citations

16.

Leung, Ming D. & Amanda Sharkey. (2013). Out of Sight, Out of Mind? Evidence of Perceptual Factors in the Multiple-Category Discount. Organization Science. 25(1). 171–184. 90 indexed citations

17.

Negro, Giacomo & Ming D. Leung. (2012). “Actual” and Perceptual Effects of Category Spanning. Organization Science. 24(3). 684–696. 99 indexed citations

18.

Leung, Ming D.. (2010). DILETTANTE OR RENAISSANCE MAN? HOW THE SEQUENCE OF CATEGORY MEMBERSHIPS AFFECTS CREDIBILITY IN AN ONLINE MARKET FOR SERVICES.. Academy of Management Proceedings. 2010(1). 1–6. 3 indexed citations

19.

Negro, Giacomo, Michael T. Hannan, Hayagreeva Rao, & Ming D. Leung. (2007). No Barrique, No Berlusconi: Collective Identity, Contention, and Authenticity in the Making of Barolo and Barbaresco Wines. RePEc: Research Papers in Economics.

20.

Hannan, Michael T., Giacomo Negro, Hayagreeva Rao, & Ming D. Leung. (2007). No Barrique, No Berlusconi: Collective Identity, Contention, and Authenticity in the Making of Barolo and Barbaresco Wines. SSRN Electronic Journal. 9 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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