Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Systematic review and meta-analysis of the prevalence of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME)
2020276 citationsYo‐Chan Ahn, Eun-Su Jang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Eun-Su 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 Eun-Su Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun-Su Jang more than expected).
This network shows the impact of papers produced by Eun-Su 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 Eun-Su Jang. The network helps show where Eun-Su Jang may publish in the future.
Co-authorship network of co-authors of Eun-Su Jang
This figure shows the co-authorship network connecting the top 25 collaborators of Eun-Su Jang.
A scholar is included among the top collaborators of Eun-Su 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 Eun-Su Jang. Eun-Su Jang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Baek, Younghwa, et al.. (2010). The Association between Symptom Evaluation Index and Quality of Life according to Sasang Constitution in Men. Journal of Sasang Constitutional Medicine. 22(2). 48–59.6 indexed citations
11.
Lee, Jun‐Hyuk, et al.. (2010). Survey for Current Status and Prospect of Traditional Medical Market. Korean Journal of Acupuncture. 27(1). 143–150.2 indexed citations
12.
Jang, Eun-Su, et al.. (2010). Characteristics of Distance, Angle and Ratio among the Face Point on Photo in Sasang Constitutional Medicine. Journal of Sasang Constitutional Medicine. 22(2). 37–47.7 indexed citations
Jang, Eun-Su, et al.. (2009). The Association between Symptom Evaluation Index and Health State according to Sasang Constitution in Women. Journal of Sasang Constitutional Medicine. 21(3). 107–121.7 indexed citations
15.
Kim, Sang Hyuck, et al.. (2009). Differences in the Symptoms between Exterior-disease and Interior-disease of TE type - Based on 659 Subjects -. Journal of Sasang Constitutional Medicine. 21(2). 96–106.5 indexed citations
16.
Jang, Eun-Su, et al.. (2009). The Verification of Concordance Coefficient in Sasang Constitutional Factors by Expert. Journal of Sasang Constitutional Medicine. 21(2). 79–86.9 indexed citations
17.
Jang, Eun-Su, et al.. (2008). Knowledge and Attitude of Sasang Constitution Investigators on the Sasang Constitution Clinical Study in Korea. Journal of Sasang Constitutional Medicine. 20(3). 118–132.5 indexed citations
18.
Lee, Siwoo, et al.. (2008). The Survey on the Sasang Constitution Clinical Study -In the Journal of Sasang Constitutional Medicine-. Journal of Sasang Constitutional Medicine. 20(2). 21–29.4 indexed citations
19.
Jang, Eun-Su, et al.. (2008). A Study on the Priority Order of Sasang Constitutional Factors in Oriental Medical Clinics. Journal of Sasang Constitutional Medicine. 20(3). 133–141.5 indexed citations
20.
Jang, Eun-Su, et al.. (2007). The Clinical Study on the Ordinary and Pathological Symptoms according to Sasang Constitution. Journal of Sasang Constitutional Medicine. 19(3). 144–155.20 indexed citations
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.