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.
Majorana fermions in the Kitaev quantum spin system α-RuCl3
2017311 citationsSeung-Hwan Do, Sang‐Youn Park et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Sang‐Youn Park
Since
Specialization
Citations
This map shows the geographic impact of Sang‐Youn 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 Sang‐Youn Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Youn Park more than expected).
This network shows the impact of papers produced by Sang‐Youn 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 Sang‐Youn Park. The network helps show where Sang‐Youn Park may publish in the future.
Co-authorship network of co-authors of Sang‐Youn Park
This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Youn Park.
A scholar is included among the top collaborators of Sang‐Youn Park 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 Sang‐Youn Park. Sang‐Youn Park is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Park, Sang‐Youn. (2007). The Effects of Exercise on Functional Status, Activity of Daily Living and Social Re-adjustment in Stroke Patients. The Korean Journal of Rehabilitation Nursing. 10(1). 12–20.1 indexed citations
13.
Park, Sang‐Youn, et al.. (2006). A Survey on Experience and Illness Management of Rural Women with Osteoarthritis. Journal of Korean Academy of Fundamentals of Nursing. 13(3). 419–427.1 indexed citations
14.
Park, Sang‐Youn. (2006). Effect of Tai Chi Exercise on Pain, Balance, Gait and Physical Function of Patients with Low Back Pain. The Korean Journal of Rehabilitation Nursing. 9(1). 42–48.2 indexed citations
Park, Sang‐Youn, et al.. (2004). Effects of Self Help Program for Pain, ADL, Exercise Self-Efficacy, and Knowledge about Arthritis in Patients with Osteoarthritis. Journal of muscle and joint health. 11(1). 31–41.4 indexed citations
17.
Park, Sang‐Youn, et al.. (2000). The Relationships among Self-Care Agency, Family Support, Quality of Life in Patients with Rheumatoid Arthritis. Journal of muscle and joint health. 7(2). 281–293.7 indexed citations
18.
Park, Sang‐Youn, et al.. (2000). The Analysis of Research in Arthritis. Journal of muscle and joint health. 7(2). 227–240.3 indexed citations
19.
Lee, Eun‐Ok, Sang‐Youn Park, Jong-Im Kim, et al.. (1997). The Effects of Self-Help Education Increasing Self-Efficacy on the Health Promotion for the Arthritis Patients. Journal of muscle and joint health. 4(1). 1–14.1 indexed citations
20.
Lee, Eun‐Ok, Hyun‐Sook Kang, Young‐Jae Kim, et al.. (1996). The Relationship among Self-Efficacy, Pain, Depression, and ADL in Chronic Arthritis. Journal of muscle and joint health. 3(2). 194–208.5 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.