Sunju Park

164 papers receiving 2.3k citations

Peers

Sunju Park
Comparison fields: 5 of 176
  • Complementary and alternative medicine 133
  • Industrial and Manufacturing Engineering 154
  • Oncology 344
  • Management Science and Operations Research 169
  • Management Information Systems 103
Replace Huei Lee with:
Huei Lee Taiwan
Sung‐Joo Park South Korea
Robert Stevens United Kingdom
Hong Wan China
Xudong Luo China
Huimin Jiang China
Huajun Chen China
Cidambi Srinivasan United States
Elena Marchiori Netherlands
Martin Pál United States
Sunju Park relative to Huei Lee Taiwan Huei Lee's profile →
Citations per field
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Huei Lee · 1×
Citations per year

Countries citing papers authored by Sunju Park

Since Specialization
Citations

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

Fields of papers citing papers by Sunju Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sunju Park, 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 Sunju Park Line = papers co-authored together Sunju Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006163
2 2015144
3 202189
4 201381
5 201772
6 201372
7 201572
8 201167
9 201059
10 201458
11 201154
12 200949
13 201649
14 200747
15 199940
16 201740
17 201638
18 201634
19 200130
20 202029

About Sunju Park

Sunju Park is a scholar working on Complementary and alternative medicine, Marketing, Information Systems, Pharmacology and Computer Networks and Communications, having authored 185 papers that have together received 2.4k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (12 papers), Complex Network Analysis Techniques (12 papers), Healthcare and Venom Research (11 papers), Consumer Perception and Purchasing Behavior (9 papers), Consumer Market Behavior and Pricing (8 papers), Auction Theory and Applications (8 papers), Recommender Systems and Techniques (8 papers) and Education and Learning Interventions (7 papers). The work is most often cited by research in Complementary and alternative medicine (133 citations), Industrial and Manufacturing Engineering (154 citations), Oncology (344 citations), Management Science and Operations Research (169 citations) and Management Information Systems (103 citations). Sunju Park has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sang-Wook Kim, Seong‐Gyu Ko, Shuguang Liu, Michael H. Rothkopf, Andrzej Ruszczyński, Lei Lei, George Sgouros, Anders Josefsson, Kideok Jin and Jessie R. Nedrow. Their work appears in journals such as Medicine, Evidence-based Complementary and Alternative Medicine, Trials, Information Sciences and The Journal of Alternative and Complementary Medicine.

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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