Mindy Z. Xiaolan

40 total papers · 532 total citations
22 papers, 163 citations indexed

About

Mindy Z. Xiaolan is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Mindy Z. Xiaolan has authored 22 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 10 papers in Finance and 9 papers in General Economics, Econometrics and Finance. Recurrent topics in Mindy Z. Xiaolan's work include Monetary Policy and Economic Impact (8 papers), Financial Markets and Investment Strategies (7 papers) and Fiscal Policies and Political Economy (7 papers). Mindy Z. Xiaolan is often cited by papers focused on Monetary Policy and Economic Impact (8 papers), Financial Markets and Investment Strategies (7 papers) and Fiscal Policies and Political Economy (7 papers). Mindy Z. Xiaolan collaborates with scholars based in United States, United Kingdom and Canada. Mindy Z. Xiaolan's co-authors include Zhengyang Jiang, Stijn Van Nieuwerburgh, Hanno N. Lustig, Hanno Lustig, Antonio Falato, Andrea L. Eisfeldt, Michael Sockin, Barney Hartman‐Glaser, Wenxi Jiang and Zefeng Chen and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Econometrica.

In The Last Decade

Mindy Z. Xiaolan

20 papers receiving 146 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mindy Z. Xiaolan 103 82 73 35 25 22 163
Eva Cárceles‐Poveda 168 1.6× 87 1.1× 67 0.9× 86 2.5× 15 0.6× 22 224
Giacomo Rodano 132 1.3× 142 1.7× 117 1.6× 38 1.1× 22 0.9× 15 245
Bryan Hardy 82 0.8× 49 0.6× 109 1.5× 59 1.7× 23 0.9× 21 162
Jason Roderick Donaldson 117 1.1× 116 1.4× 178 2.4× 28 0.8× 15 0.6× 16 231
Sascha Kolaric 142 1.4× 74 0.9× 119 1.6× 35 1.0× 31 1.2× 22 225
Marc De Ceuster 104 1.0× 110 1.3× 199 2.7× 48 1.4× 20 0.8× 13 264
Jens Forssbæck 101 1.0× 157 1.9× 160 2.2× 31 0.9× 45 1.8× 19 240
Juliana Salomão 81 0.8× 112 1.4× 133 1.8× 58 1.7× 45 1.8× 14 226
Thomas M. Eisenbach 116 1.1× 63 0.8× 168 2.3× 30 0.9× 10 0.4× 31 220
Jiacui Li 59 0.6× 45 0.5× 91 1.2× 16 0.5× 13 0.5× 17 115

Countries citing papers authored by Mindy Z. Xiaolan

Since Specialization
Citations

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

Fields of papers citing papers by Mindy Z. Xiaolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mindy Z. Xiaolan. 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 Mindy Z. Xiaolan. The network helps show where Mindy Z. Xiaolan may publish in the future.

Co-authorship network of co-authors of Mindy Z. Xiaolan

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

All Works

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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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