Tiantian Yang

1.0k total citations
21 papers, 691 citations indexed

About

Tiantian Yang is a scholar working on Management of Technology and Innovation, Economics and Econometrics and Accounting. According to data from OpenAlex, Tiantian Yang has authored 21 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management of Technology and Innovation, 8 papers in Economics and Econometrics and 8 papers in Accounting. Recurrent topics in Tiantian Yang's work include Entrepreneurship Studies and Influences (12 papers), Private Equity and Venture Capital (6 papers) and Corporate Finance and Governance (6 papers). Tiantian Yang is often cited by papers focused on Entrepreneurship Studies and Influences (12 papers), Private Equity and Venture Capital (6 papers) and Corporate Finance and Governance (6 papers). Tiantian Yang collaborates with scholars based in United States, United Kingdom and Sweden. Tiantian Yang's co-authors include Howard E. Aldrich, María del Carmen Triana, Martha A. Martinez, Aleksandra Kacperczyk, Lucia Naldi, Rebecca Zarutskie, Prasanna Tambe, Louis Hickman and Ming D. Leung and has published in prestigious journals such as Academy of Management Journal, Strategic Management Journal and American Sociological Review.

In The Last Decade

Tiantian Yang

16 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tiantian Yang United States	10	505	247	244	179	119	21	691
Wing Lam United Kingdom	11	471 0.9×	284 1.1×	340 1.4×	233 1.3×	140 1.2×	18	822
Vartuhí Tonoyan United States	9	321 0.6×	179 0.7×	180 0.7×	183 1.0×	193 1.6×	28	633
Lois M. Shelton United States	8	284 0.6×	159 0.6×	255 1.0×	132 0.7×	184 1.5×	20	620
Amanda Brickman Elam United States	12	636 1.3×	127 0.5×	387 1.6×	170 0.9×	228 1.9×	21	882
Robert Strohmeyer Germany	8	293 0.6×	159 0.6×	166 0.7×	167 0.9×	175 1.5×	22	565
Robert P. Singh United States	12	549 1.1×	171 0.7×	259 1.1×	118 0.7×	160 1.3×	32	728
Matilde Ruiz Arroyo Spain	10	283 0.6×	98 0.4×	170 0.7×	95 0.5×	64 0.5×	17	461
Nils D. Kraiczy Switzerland	10	513 1.0×	359 1.5×	508 2.1×	78 0.4×	74 0.6×	17	794
A. Banu Goktan United States	5	388 0.8×	74 0.3×	244 1.0×	89 0.5×	69 0.6×	10	561
Monica Diochon Canada	14	427 0.8×	132 0.5×	253 1.0×	128 0.7×	112 0.9×	20	612

Countries citing papers authored by Tiantian Yang

Since Specialization

Citations

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

Fields of papers citing papers by Tiantian Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiantian Yang

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

Yang, Tiantian, et al.. (2026). When Women Stick Together: Network Dynamics and Shared Resources Following Disruptive Events. Academy of Management Journal.

Yang, Tiantian, et al.. (2025). “Why I Searched Alone”: Understanding Mothers’ Hesitation to Seek Network Assistance During Workforce Reentry. Organization Science. 36(6). 2150–2184.

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.

Hickman, Louis & Tiantian Yang. (2025). The role of intergroup threats for explaining political bias in screening decisions. Applied Psychology. 74(4).

Tambe, Prasanna & Tiantian Yang. (2024). The Hidden Cost of IT Innovation: Access to Emerging Technologies and the Gender Wage Gap. MIS Quarterly. 49(2). 677–700.

Yang, Tiantian, et al.. (2023). The racial gap in entrepreneurship and opportunities inside established firms. Strategic Management Journal. 45(4). 745–774. 5 indexed citations

Yang, Tiantian, Aleksandra Kacperczyk, & Lucia Naldi. (2023). The Motherhood Wage Penalty and Female Entrepreneurship. Organization Science. 35(1). 27–51. 23 indexed citations

Yang, Tiantian & Aleksandra Kacperczyk. (2018). Minority Entrepreneurship and Alternative Opportunities Inside Established Organizations. Academy of Management Proceedings. 2018(1). 16903–16903. 3 indexed citations

Yang, Tiantian & María del Carmen Triana. (2017). Set Up to Fail: Explaining When Women-Led Businesses Are More Likely to Fail. Journal of Management. 45(3). 926–954. 65 indexed citations

10.

Yang, Tiantian & Howard E. Aldrich. (2016). “The liability of newness” revisited: Theoretical restatement and empirical testing in emergent organizations. Social Science Research. 63. 36–53. 78 indexed citations

11.

Zarutskie, Rebecca & Tiantian Yang. (2015). How Did Young Firms Fare During the Great Recession? Evidence from the Kauffman Firm Survey. SSRN Electronic Journal. 5 indexed citations

12.

Zarutskie, Rebecca & Tiantian Yang. (2015). How Did Young Firms Fare During the Great Recession? Evidence from the Kauffman Firm Survey. Finance and Economics Discussion Series. 2015.0(85). 1–44. 1 indexed citations

13.

Zarutskie, Rebecca & Tiantian Yang. (2015). Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Aairs Federal Reserve Board, Washington, D.C. How Did Young Firms Fare During the Great Recession? Evidence from the Kauman Firm Survey. 1 indexed citations

14.

Yang, Tiantian & Howard E. Aldrich. (2014). Who’s the Boss? Explaining Gender Inequality in Entrepreneurial Teams. American Sociological Review. 79(2). 303–327. 144 indexed citations

15.

Aldrich, Howard E. & Tiantian Yang. (2013). How do entrepreneurs know what to do? learning and organizing in new ventures. Journal of Evolutionary Economics. 24(1). 59–82. 117 indexed citations

16.

Aldrich, Howard E. & Tiantian Yang. (2012). What Did Stinchcombe Really Mean? Designing Research to Test the Liability of Newness among New Ventures. Entrepreneurship Research Journal. 2(3). 32 indexed citations

17.

Yang, Tiantian & Howard E. Aldrich. (2012). Out of sight but not out of mind: Why failure to account for left truncation biases research on failure rates. Journal of Business Venturing. 27(4). 477–492. 104 indexed citations

18.

Aldrich, Howard E. & Tiantian Yang. (2012). Lost in translation: Cultural codes are not blueprints. Strategic Entrepreneurship Journal. 6(1). 1–17. 57 indexed citations

19.

Yang, Tiantian & Howard E. Aldrich. (2011). ALL ORGANIZATIONS WERE ONCE NEW: REVISITING STINCHCOMBE'S LIABILITY OF NEWNESS HYPOTHESIS (SUMMARY). Frontiers of entrepreneurship research. 31(4). 22. 2 indexed citations

20.

Martinez, Martha A., Tiantian Yang, & Howard E. Aldrich. (2011). Entrepreneurship as an Evolutionary Process: Research Progress and Challenges. Entrepreneurship Research Journal. 1(1). 36 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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