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.
Finance and Misallocation: Evidence from Plant-Level Data
2014619 citationsVirgiliu Midrigan, Daniel Yi XuAmerican Economic Reviewprofile →
R&D Investment, Exporting, and Productivity Dynamics
2011468 citationsBee Yan Aw, Mark J. Roberts et al.American Economic Reviewprofile →
Competition, Markups, and the Gains from International Trade
2015251 citationsChris Edmond, Virgiliu Midrigan et al.American Economic Reviewprofile →
Notching R&D Investment with Corporate Income Tax Cuts in China
2021194 citationsChen Zhao, Zhikuo Liu et al.American Economic Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Daniel Yi Xu'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 Daniel Yi Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Yi Xu more than expected).
This network shows the impact of papers produced by Daniel Yi Xu. 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 Daniel Yi Xu. The network helps show where Daniel Yi Xu may publish in the future.
Co-authorship network of co-authors of Daniel Yi Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Yi Xu.
A scholar is included among the top collaborators of Daniel Yi Xu 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 Daniel Yi Xu. Daniel Yi Xu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhao, Chen, Zhikuo Liu, Juan Carlos Suárez Serrato, & Daniel Yi Xu. (2018). Notching R&D Investment with Corporate Income Tax Cuts in China. SSRN Electronic Journal.22 indexed citations
Tybout, James, David Jinkins, Daniel Yi Xu, & Jonathan Eaton. (2016). Two-sided Search in International Markets. RePEc: Research Papers in Economics.4 indexed citations
11.
Xu, Daniel Yi. (2014). From Manufacturing to Retail: An Anatomy of Chinese Footwear Firms. RePEc: Research Papers in Economics.3 indexed citations
12.
Midrigan, Virgiliu & Daniel Yi Xu. (2014). Finance and Misallocation: Evidence from Plant-Level Data. American Economic Review. 104(2). 422–458.619 indexed citations breakdown →
Roberts, Mark J., Daniel Yi Xu, Xiaoyan Fan, & Shengxing Zhang. (2011). A Structural Model of Demand, Cost, and Export Market Selection for Chinese Footwear Producers.27 indexed citations
15.
Aw, Bee Yan, Mark J. Roberts, & Daniel Yi Xu. (2011). R&D Investment, Exporting, and Productivity Dynamics. American Economic Review. 101(4). 1312–1344.468 indexed citations breakdown →
16.
Xu, Daniel Yi, et al.. (2010). Finance and Misallocation: Evidence from Plant-Level Data. SSRN Electronic Journal.29 indexed citations
17.
Wang, Zhi, et al.. (2010). A Time Series Database for Global Trade, Production and Consumption Linkages.4 indexed citations
18.
Dunne, Timothy, Shawn D. Klimek, Mark J. Roberts, & Daniel Yi Xu. (2009). The Dynamics of Market Structure and Market Size in Two Health Service Industries. NBER Chapters. 303–327.6 indexed citations
19.
Aw, Bee Yan, Mark J. Roberts, & Daniel Yi Xu. (2009). R&D Investment, Exporting, and Productivity Dynamics. SSRN Electronic Journal.53 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.