Sunju Park

155 papers receiving 2.1k citations

Peers

Sunju Park
Comparison fields: 5 of 170
  • Complementary and alternative medicine 128
  • Industrial and Manufacturing Engineering 150
  • Oncology 330
  • Management Science and Operations Research 139
  • Management Information Systems 91
Replace Huei Lee with:
Huei Lee Taiwan
Zhiming Zhao Netherlands
Robert Stevens United Kingdom
Hong Wan China
Xudong Luo China
Huimin Jiang China
Martin Pál United States
Tianjian Chen China
Jian‐Yun Nie Canada
Nazar Zaki United Arab Emirates
Sunju Park relative to Huei Lee Taiwan Huei Lee's profile →
Citations per field
00.5×3.9×
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 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006158
2 2015140
3 202182
4 201376
5 201772
6 201369
7 201568
8 201166
9 201058
10 201454
11 201649
12 200945
13 201145
14 200744
15 201738
16 201636
17 201632
18 202029
19 201129
20 199928

About Sunju Park

Sunju Park is a scholar working on Information Systems, Computer Networks and Communications, Complementary and alternative medicine, Pharmacology and Marketing, having authored 177 papers that have together received 2.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Traditional Chinese Medicine Studies (12 papers), Healthcare and Venom Research (11 papers), Consumer Market Behavior and Pricing (9 papers), Consumer Perception and Purchasing Behavior (9 papers), Auction Theory and Applications (9 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 (128 citations), Industrial and Manufacturing Engineering (150 citations), Oncology (330 citations), Management Science and Operations Research (139 citations) and Management Information Systems (91 citations). Sunju Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang‐Wook Kim, Seong‐Gyu Ko, Shuguang Liu, Lei Lei, Andrzej Ruszczyński, Michael H. Rothkopf, George Sgouros, Jessie R. Nedrow, Anders Josefsson and Kideok Jin. Their work appears in journals such as Medicine, Cancer Research, Evidence-based Complementary and Alternative Medicine, 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.

Explore authors with similar magnitude of impact