Yoona Kim

523 total citations
15 papers, 400 citations indexed

About

Yoona Kim is a scholar working on Family Practice, Epidemiology and Hepatology. According to data from OpenAlex, Yoona Kim has authored 15 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Family Practice, 5 papers in Epidemiology and 5 papers in Hepatology. Recurrent topics in Yoona Kim's work include Medication Adherence and Compliance (5 papers), Hepatitis C virus research (5 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). Yoona Kim is often cited by papers focused on Medication Adherence and Compliance (5 papers), Hepatitis C virus research (5 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). Yoona Kim collaborates with scholars based in United States, Australia and Netherlands. Yoona Kim's co-authors include Naunihal Virdi, George M. Savage, Praveen Raja, Lars Osterberg, Juan P. Frías, Karen L. Rascati, Haesuk Park, Chanhyun Park, Jennifer Keogh and Peter Clifton and has published in prestigious journals such as Gastroenterology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Yoona Kim

15 papers receiving 381 citations

Peers

Yoona Kim
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 129
  • Family Practice 120
  • General Health Professions 106
  • Cardiology and Cardiovascular Medicine 69
  • Geriatrics and Gerontology 48
Replace Richard Deichmann with:
Richard Deichmann United States
Ali Hussein Alek Al‐Ganmi Iraq
Ayla M. Tourkmani Saudi Arabia
Rykel van Bruggen Netherlands
Abdulellah Alotaibi Iraq
Kerry Mansell Canada
Erin Peacock United States
Israel Lerman Mexico
Cameron C. Lindsey United States
Laura M.C. Welschen Netherlands
Richard Deichmann United States View profile →
Citations per field, relative to Yoona Kim
Yoona Kim · 1×
Citations per year, relative to Yoona Kim
Yoona Kim · 1×

Countries citing papers authored by Yoona Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yoona Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoona 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 Yoona Kim. The network helps show where Yoona Kim may publish in the future.

Co-authorship network of co-authors of Yoona Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yoona Kim. A scholar is included among the top collaborators of Yoona 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 Yoona Kim. Yoona Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 13
2 15
3 11
4 4
5 29
6 157
7 25
8 8
9 21
10 26
11
Abstract 17375: Evaluation of a Digital Health Offering to Optimize Blood Pressure and Lipid Control in Patients With Uncontrolled Hypertension and Type 2 Diabetes: A Pilot, Cluster Randomized Study
2
12 1
13 2
14 2
15 84

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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