Min Soon Kim

739 total citations
24 papers, 458 citations indexed

About

Min Soon Kim is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Min Soon Kim has authored 24 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 8 papers in Public Health, Environmental and Occupational Health and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Min Soon Kim's work include Diabetes Management and Education (8 papers), Digital Imaging in Medicine (7 papers) and Electronic Health Records Systems (6 papers). Min Soon Kim is often cited by papers focused on Diabetes Management and Education (8 papers), Digital Imaging in Medicine (7 papers) and Electronic Health Records Systems (6 papers). Min Soon Kim collaborates with scholars based in United States, Slovakia and Brazil. Min Soon Kim's co-authors include Martina A. Clarke, Jeffery L. Belden, Mia K. Markey, Gregory P. Reece, Richelle J. Koopman, Shannon M. Canfield, S G Elliott, Joi L. Moore, Linsey M. Steege and Susan E. Meadows and has published in prestigious journals such as Plastic & Reconstructive Surgery, Computers in Biology and Medicine and International Journal of Clinical Practice.

In The Last Decade

Min Soon Kim

24 papers receiving 450 citations

Peers

Min Soon Kim
Stephen H Bradley United Kingdom
Amish Acharya United Kingdom
Matthew Prime Switzerland
Barbara Wright Canada
Oriol Solà-Morales Spain
Hooi Min Lim Malaysia
Jong Soo Han South Korea
Adeel Khoja Pakistan
Mohy Uddin Saudi Arabia
Zsombor Zrubka Hungary
Stephen H Bradley United Kingdom
Min Soon Kim
Citations per year, relative to Min Soon Kim Min Soon Kim (= 1×) peers Stephen H Bradley

Countries citing papers authored by Min Soon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Min Soon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Soon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Min Soon Kim. A scholar is included among the top collaborators of Min Soon 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 Min Soon Kim. Min Soon Kim 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
1.
Alafaireet, Patricia, et al.. (2023). Association rule mining of real-world data: Uncovering links between race, glycemic control, lipid profiles, and suicide attempts in individuals with diabetes. Informatics in Medicine Unlocked. 42. 101345–101345. 2 indexed citations
2.
3.
Boren, Suzanne Austin, et al.. (2022). SEE-diabetes, a patient-centered diabetes self-management education and support for older adults: Findings and information needs from providers’ perspectives. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 16(9). 102582–102582. 1 indexed citations
4.
5.
Boren, Suzanne Austin, et al.. (2021). Analysis of Healthy Coping Feedback Messages from Diabetes Mobile Apps: Validation Against an Evidence-Based Framework. Journal of Diabetes Science and Technology. 17(1). 152–162. 3 indexed citations
6.
Kim, Min Soon, et al.. (2021). Transforming AADE7 for Use in an Evaluation Framework for Health Information Technology in Diabetes Mellitus. Journal of Diabetes Science and Technology. 16(3). 764–770. 1 indexed citations
7.
Boren, Suzanne Austin, et al.. (2018). Experience of diabetes self-management with mobile applications: a focus group study among older people with diabetes. European Journal for Person Centered Healthcare. 6(2). 262–262. 7 indexed citations
8.
Clarke, Martina A., Jeffery L. Belden, & Min Soon Kim. (2016). How Does Learnability of Primary Care Resident Physicians Increase After Seven Months of Using an Electronic Health Record? A Longitudinal Study. JMIR Human Factors. 3(1). e9–e9. 13 indexed citations
9.
Kim, Min Soon, et al.. (2015). Exploring the Usability of Mobile Apps Supporting Radiologists’ Training in Diagnostic Decision Making. Journal of the American College of Radiology. 13(3). 335–343. 9 indexed citations
10.
Clarke, Martina A., Joi L. Moore, Linsey M. Steege, et al.. (2015). Health information needs, sources, and barriers of primary care patients to achieve patient-centered care: A literature review. Health Informatics Journal. 22(4). 992–1016. 208 indexed citations
11.
Clarke, Martina A., et al.. (2015). Toward Successful Implementation of Speech Recognition Technology: A Survey of SRT Utilization Issues in Healthcare Settings. Southern Medical Journal. 108(7). 445–451. 6 indexed citations
12.
Clarke, Martina A., Jeffery L. Belden, & Min Soon Kim. (2014). Determining differences in user performance between expert and novice primary care doctors when using an electronic health record (EHR). Journal of Evaluation in Clinical Practice. 20(6). 1153–1161. 18 indexed citations
13.
Kim, Min Soon. (2013). Improving Electronic Health Records Training through Usability Evaluation in Primary Care. Journal of Health & Medical Informatics. 4(4). 2 indexed citations
14.
Clarke, Martina A., Jeffery L. Belden, Richelle J. Koopman, et al.. (2012). Creating a More Readable Electronic Health Record (EHR) Model: Analysis of Primary Care Physicians' Information Needs.. AMIA. 1 indexed citations
15.
Kim, Min Soon, Angela Burgess, Andrew J. Waters, et al.. (2010). A Pilot Study on Using Eye Tracking to Understand Assessment of Surgical Outcomes from Clinical Photography. Journal of Digital Imaging. 24(5). 778–786. 8 indexed citations
16.
Kim, Min Soon, et al.. (2010). Quantifying the aesthetic outcomes of breast cancer treatment: assessment of surgical scars from clinical photographs. Journal of Evaluation in Clinical Practice. 17(6). 1075–1082. 12 indexed citations
17.
Kim, Min Soon, et al.. (2009). Towards quantifying the aesthetic outcomes of breast cancer treatment: comparison of clinical photography and colorimetry. Journal of Evaluation in Clinical Practice. 15(1). 20–31. 12 indexed citations
18.
Kim, Min Soon, et al.. (2008). Assessment of Breast Aesthetics. Plastic & Reconstructive Surgery. 121(4). 186e–194e. 77 indexed citations
19.
Udpa, Nitin, Mehul Sampat, Min Soon Kim, Gregory P. Reece, & Mia K. Markey. (2007). Objective assessment of the aesthetic outcomes of breast cancer treatment: toward automatic localization of fiducial points on digital photographs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 651420–651420. 2 indexed citations
20.
Kim, Min Soon, Gregory P. Reece, Elisabeth K. Beahm, et al.. (2006). Objective assessment of aesthetic outcomes of breast cancer treatment: Measuring ptosis from clinical photographs. Computers in Biology and Medicine. 37(1). 49–59. 34 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stephen H Bradley Breakdown of academic impact, for papers by Amish Acharya Breakdown of academic impact, for papers by Matthew Prime Breakdown of academic impact, for papers by Barbara Wright Breakdown of academic impact, for papers by Oriol Solà-Morales Breakdown of academic impact, for papers by Hooi Min Lim Breakdown of academic impact, for papers by Jong Soo Han Breakdown of academic impact, for papers by Adeel Khoja Breakdown of academic impact, for papers by Mohy Uddin Breakdown of academic impact, for papers by Zsombor Zrubka
Rankless by CCL
2026