Jae‐Hwan Jang

709 total citations
22 papers, 502 citations indexed

About

Jae‐Hwan Jang is a scholar working on Complementary and alternative medicine, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jae‐Hwan Jang has authored 22 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Complementary and alternative medicine, 8 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jae‐Hwan Jang's work include Acupuncture Treatment Research Studies (13 papers), Pain Mechanisms and Treatments (7 papers) and Pain Management and Placebo Effect (5 papers). Jae‐Hwan Jang is often cited by papers focused on Acupuncture Treatment Research Studies (13 papers), Pain Mechanisms and Treatments (7 papers) and Pain Management and Placebo Effect (5 papers). Jae‐Hwan Jang collaborates with scholars based in South Korea and United States. Jae‐Hwan Jang's co-authors include Hi‐Joon Park, Ju‐Young Oh, Sora Ahn, Mijung Yeom, Suhwan Ji, Songhee Jeon, Ji-Yeun Park, Yeonhee Ryu, Jong‐Pil Kim and Seung‐Nam Kim and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Pain.

In The Last Decade

Jae‐Hwan Jang

22 papers receiving 496 citations

Peers

Jae‐Hwan Jang
Comparison fields: 5 of 81
  • Complementary and alternative medicine 200
  • Physiology 119
  • Molecular Biology 114
  • Neurology 114
  • Cellular and Molecular Neuroscience 77
Replace Ju‐Young Oh with:
Ju‐Young Oh South Korea
Bai‐Yun Zeng United Kingdom
Minguang Yang China
Baek-Vin Lim South Korea
Ling‐Yong Xiao China
Fariba Karimzadeh Iran
Suchan Chang South Korea
Weronika Grabowska United States
Siru Qin China
Tuya Bao China
Ju‐Young Oh South Korea View profile →
Citations per field, relative to Jae‐Hwan Jang
Jae‐Hwan Jang · 1×
Citations per year, relative to Jae‐Hwan Jang
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Countries citing papers authored by Jae‐Hwan Jang

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Hwan Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Hwan Jang. 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 Jae‐Hwan Jang. The network helps show where Jae‐Hwan Jang may publish in the future.

Co-authorship network of co-authors of Jae‐Hwan Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Hwan Jang. A scholar is included among the top collaborators of Jae‐Hwan Jang 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 Jae‐Hwan Jang. Jae‐Hwan Jang 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 6
2 4
3 3
4 1
5 3
6 2
7 16
8 15
9 3
10 12
11 11
12 170
13 19
14 14
15 15
16 14
17 38
18 23
19 18
20 27

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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