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.
The Ability and Willingness Paradox in Family Firm Innovation
2014396 citationsAlfredo De Massis, Mike Wright et al.profile →
International experience and FDI location choices of Chinese firms: The moderating effects of home country government support and host country institutions
This map shows the geographic impact of Mike Wright'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 Mike Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Wright more than expected).
This network shows the impact of papers produced by Mike Wright. 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 Mike Wright. The network helps show where Mike Wright may publish in the future.
Co-authorship network of co-authors of Mike Wright
This figure shows the co-authorship network connecting the top 25 collaborators of Mike Wright.
A scholar is included among the top collaborators of Mike Wright 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 Mike Wright. Mike Wright is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wright, Mike, Donald S. Siegel, & Philippe Mustar. (2017). An emerging ecosystem for student start-ups. The Journal of Technology Transfer. 42(4). 909–922.236 indexed citations breakdown →
Manigart, Sophie, et al.. (2012). DISTRESSED PORTFOLIO COMPANY EXIT AND CROSS-BORDER VENTURE CAPITAL INVESTORS: AN ESCALATION-OF-COMMITMENT PERSPECTIVE (SUMMARY). Frontiers of entrepreneurship research. 32(2). 4–5.
12.
Manigart, Sophie & Mike Wright. (2011). Reassessing the Relationships between Private Equity Investors and Their Portfolio Companies. RePEc: Research Papers in Economics.2 indexed citations
13.
Verwaal, Ernst, Hans Bruining, Mike Wright, Sophie Manigart, & Andy Lockett. (2010). Resources access needs and capabilities as mediators of the relationship between VC firm size and syndication.3 indexed citations
14.
Toms, Steve & Mike Wright. (2010). Divergence and Convergence within Anglo-American Corporate Governance Systems: Evidence From the US and UK, 1950-2000. SSRN Electronic Journal.
15.
Wilson, Nick, et al.. (2009). Private Equity, Buy-Outs, Leverage and Failure. SSRN Electronic Journal.4 indexed citations
16.
Meuleman, Miguel & Mike Wright. (2008). Determinants of Cross-Border Syndication: Cultural Barriers, Legal Context, and Learning. SSRN Electronic Journal. 28(18). 4.3 indexed citations
17.
Bruining, Hans, Mike Wright, Ernst Verwaal, Andy Lockett, & Sophie Manigart. (2005). Firm Size Effects on Venture Capital Syndication: The Role of Resources and Transaction Costs. Data Archiving and Networked Services (DANS).6 indexed citations
Westhead, Paul & Mike Wright. (2000). Advances in entrepreneurship. Data Archiving and Networked Services (DANS).69 indexed citations
20.
Wright, Mike & Ken Robbie. (1999). Management buy-outs and venture capital : into the next millenium. Edward Elgar eBooks.3 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.