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.
Emerging Roles of Vascular Cell Adhesion Molecule-1 (VCAM-1) in Immunological Disorders and Cancer
This map shows the geographic impact of Mi Kyung Kim'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 Mi Kyung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Kyung Kim more than expected).
This network shows the impact of papers produced by Mi Kyung Kim. 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 Mi Kyung Kim. The network helps show where Mi Kyung Kim may publish in the future.
Co-authorship network of co-authors of Mi Kyung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Mi Kyung Kim.
A scholar is included among the top collaborators of Mi Kyung Kim 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 Mi Kyung Kim. Mi Kyung Kim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Mi Kyung. (2012). The Relationship of the Revised Self-Leadership Questionnaire and Self-Efficacy in College Students. 7(3). 21–43.2 indexed citations
Kim, Mi Kyung. (2010). Determinants of Participation Intention in Medical Tourism to Korea - Focused on Potential Users in Japan and China -. International Journal of Tourism Management and Sciences. 24(6). 213–232.1 indexed citations
Jang, Keum‐Il, Kwang Yeon Lee, In Young Bae, et al.. (2009). Physicochemical Properties of Mung Bean Starch Paste, a Main Ingredient of Omija-eui. Food Science and Biotechnology. 18(4). 991–995.1 indexed citations
14.
Hong, Soyoung, et al.. (2009). Effects of Garcinia cambogia Extract Feeding on Body Weight and Lipid Profiles in Rats Fed a High-carbohydrate or High-fat Diet. Food Science and Biotechnology. 18(3). 649–654.2 indexed citations
15.
Lee, Hye Young & Mi Kyung Kim. (2008). Dietary Behavioral Correlates of Nutrition Label Use in Korean Women. The Korean Journal of Nutrition. 41(8). 839–850.18 indexed citations
16.
Hong, Soyoung, et al.. (2007). Effect of Glutinous Barley Intake on Lipid Metabolism in Middle-Aged Rats Fed a High-Fat Diet. Food Science and Biotechnology. 16(6). 1023–1028.2 indexed citations
17.
Kim, Young Ok, Sun Ae Yoon, Young Soo Kim, et al.. (2003). The impact of serum albumin level on maternal and fetal morbidity in women with preeclampsia.. The Korean Journal of Internal Medicine. 65(2). 224–230.
18.
Sasaki, Satoshi & Mi Kyung Kim. (2003). Validation of Self-Administered Dietary Assessment Questionnaires Developed for Japanese Subjects: Systematie Review. Journal of Community Nutrition. 5(2). 83–92.6 indexed citations
19.
Kim, Mi Kyung, et al.. (1995). Iron Deficiency Anemia in Infants. Korean Journal of Pediatrics. 38(9). 1253–1261.4 indexed citations
20.
Kim, Jin Sook, et al.. (1993). Clinical Observation of Meconium Aspiration Syndrome : In Relation to Fetal Heart Rate Monitoring. Korean Journal of Pediatrics. 36(12). 1656–1662.1 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.