Natalie Chen

39 papers receiving 851 citations

Peers

Natalie Chen
Comparison fields: 5 of 119
  • General Economics, Econometrics and Finance 367
  • Strategy and Management 167
  • Economics and Econometrics 285
  • Finance 96
  • Development 20
Replace Hanwei Huang with:
Hanwei Huang China
Patrick A. McLaughlin United States
Davide Del Prete Italy
John R. Wells United States
Sally Chen United States
Peter-Tobias Stoll Germany
Minho Kim South Korea
Jiro Honda United States
Yanling Wang Canada
Lewis D. Johnson Canada
Natalie Chen relative to Hanwei Huang China Hanwei Huang's profile →
Citations per field
00.5×5×10×14.3×
Hanwei Huang · 1×
Citations per year

Countries citing papers authored by Natalie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Natalie Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Natalie Chen Line = papers co-authored together Natalie Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008140
2 2011110
3 2020100
4 201763
5 201858
6 200453
7 201944
8 200835
9 200334
10 200324
11 202123
12 200923
13 202123
14 200523
15 202216
16 201715
17 202015
18 200912
19 201812
20 202210

About Natalie Chen

Natalie Chen is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Molecular Biology, Strategy and Management and Oncology, having authored 45 papers that have together received 910 indexed citations. Recurring topics across this work include Global trade and economics (16 papers), Wine Industry and Tourism (6 papers), Firm Innovation and Growth (5 papers), Global Trade and Competitiveness (5 papers), RNA Research and Splicing (4 papers), Monetary Policy and Economic Impact (4 papers), Nuclear Structure and Function (4 papers) and Gender, Labor, and Family Dynamics (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (367 citations), Strategy and Management (167 citations), Economics and Econometrics (285 citations), Finance (96 citations) and Development (20 citations). Natalie Chen has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Dennis Novy, Jean Imbs, Andrew Scott, Luciana Juvenal, Stephen G. Young, Joe Y. Hsu, Sachin B. Malik, Rex A. Parker, Paul H. Kim and Loren G. Fong. Their work appears in journals such as Journal of International Economics, Proceedings of the National Academy of Sciences, Cancer Letters, Therapeutic Advances in Medical Oncology and Bioorganic & Medicinal Chemistry Letters.

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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