Qinglai Meng

716 total citations
25 papers, 321 citations indexed

About

Qinglai Meng is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Infectious Diseases. According to data from OpenAlex, Qinglai Meng has authored 25 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Economics and Econometrics, 19 papers in General Economics, Econometrics and Finance and 2 papers in Infectious Diseases. Recurrent topics in Qinglai Meng's work include Economic theories and models (22 papers), Economic Theory and Policy (14 papers) and Monetary Policy and Economic Impact (14 papers). Qinglai Meng is often cited by papers focused on Economic theories and models (22 papers), Economic Theory and Policy (14 papers) and Monetary Policy and Economic Impact (14 papers). Qinglai Meng collaborates with scholars based in United States, Hong Kong and China. Qinglai Meng's co-authors include Jess Benhabib, Kazuo Nishimura, Kevin X. D. Huang, Chong K. Yip, Andrés Velasco, Bruce McGough, Asifa K. Zaidi, Zhichao Zhang, Shenwei Li and Michael Mecklenburg and has published in prestigious journals such as Econometrica, Frontiers in Immunology and Journal of International Economics.

In The Last Decade

Qinglai Meng

23 papers receiving 307 citations

Peers

Qinglai Meng
Comparison fields: 5 of 30
  • Economics and Econometrics 309
  • General Economics, Econometrics and Finance 201
  • Finance 17
  • Renewable Energy, Sustainability and the Environment 11
  • Sociology and Political Science 8
Replace Cristiano Cantore with:
Cristiano Cantore United Kingdom
Mark Weder Germany
Guido Cazzavillan Italy
Iris Biefang‐Frisancho Mariscal United Kingdom
Mirko Abbritti Spain
Willem Van Zandweghe United States
Brian Henry United Kingdom
Nathaniel A. Throckmorton United States
Jordi Galí Garreta
Leopold von Thadden Germany
Cristiano Cantore United Kingdom View profile →
Citations per field, relative to Qinglai Meng
Qinglai Meng · 1×
Citations per year, relative to Qinglai Meng
Qinglai Meng · 1×

Countries citing papers authored by Qinglai Meng

Since Specialization
Citations

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

Fields of papers citing papers by Qinglai Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinglai Meng

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 2
4 3
5 15
6 5
7 5
8 4
9 3
10 19
11 9
12 15
13 0
14 27
15 9
16
Development of a tRNA-Synthetase Microarray for Protein Analysis
1
17 8
18 21
19 26
20 8

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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