Kyeong Eun Uhm

741 total citations
29 papers, 499 citations indexed

About

Kyeong Eun Uhm is a scholar working on Oncology, Physiology and General Health Professions. According to data from OpenAlex, Kyeong Eun Uhm has authored 29 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Physiology and 5 papers in General Health Professions. Recurrent topics in Kyeong Eun Uhm's work include Stroke Rehabilitation and Recovery (5 papers), Muscle activation and electromyography studies (5 papers) and Lymphatic System and Diseases (4 papers). Kyeong Eun Uhm is often cited by papers focused on Stroke Rehabilitation and Recovery (5 papers), Muscle activation and electromyography studies (5 papers) and Lymphatic System and Diseases (4 papers). Kyeong Eun Uhm collaborates with scholars based in South Korea, United States and United Kingdom. Kyeong Eun Uhm's co-authors include Ji Hye Hwang, Ji Youl Lee, Ji Sung Yoo, Yun‐Hee Kim, Seung Hyun Chung, Won Hyuk Chang, Jongmin Lee, Yong Hyun Park, Jong Doo Lee and Joong Il Kim and has published in prestigious journals such as Scientific Reports, Pain and Clinical Neurophysiology.

In The Last Decade

Kyeong Eun Uhm

26 papers receiving 488 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyeong Eun Uhm South Korea 13 139 119 75 73 73 29 499
Ivana Holloway United Kingdom 11 176 1.3× 93 0.8× 34 0.5× 165 2.3× 33 0.5× 27 587
Kondwani Joseph Banda Malawi 15 128 0.9× 59 0.5× 116 1.5× 139 1.9× 118 1.6× 49 635
Ladislav Baťalík Czechia 20 127 0.9× 78 0.7× 66 0.9× 41 0.6× 67 0.9× 88 1.1k
Timothy I. Standish Canada 7 144 1.0× 72 0.6× 71 0.9× 59 0.8× 26 0.4× 11 716
Mariah Snyder United States 14 64 0.5× 126 1.1× 59 0.8× 170 2.3× 80 1.1× 41 585
Allison Bentley United Kingdom 11 79 0.6× 98 0.8× 123 1.6× 80 1.1× 181 2.5× 25 708
E Hamrin Sweden 11 44 0.3× 86 0.7× 19 0.3× 23 0.3× 37 0.5× 16 532
Barbara Edelman Lewis United States 13 129 0.9× 56 0.5× 92 1.2× 165 2.3× 51 0.7× 28 766
Alison R. Buick United Kingdom 7 69 0.5× 63 0.5× 12 0.2× 26 0.4× 24 0.3× 17 374
Vittorio Racca Italy 13 20 0.1× 64 0.5× 47 0.6× 82 1.1× 20 0.3× 26 654

Countries citing papers authored by Kyeong Eun Uhm

Since Specialization
Citations

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

Fields of papers citing papers by Kyeong Eun Uhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyeong Eun Uhm. 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 Kyeong Eun Uhm. The network helps show where Kyeong Eun Uhm may publish in the future.

Co-authorship network of co-authors of Kyeong Eun Uhm

This figure shows the co-authorship network connecting the top 25 collaborators of Kyeong Eun Uhm. A scholar is included among the top collaborators of Kyeong Eun Uhm 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 Kyeong Eun Uhm. Kyeong Eun Uhm 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.
Uhm, Kyeong Eun, et al.. (2025). Usefulness of Ultrasound Assessment of Breast Cancer–Related Lymphedema. Lymphatic Research and Biology. 23(5). 291–297.
2.
Kim, Hyeongsu, Chul Kim, Yong‐Il Shin, et al.. (2025). Trends in Cardiac Rehabilitation Participation in Patients With Acute Myocardial Infarction: A 5-Year Nationwide Study in Korea. Journal of Korean Medical Science. 41.
3.
Uhm, Kyeong Eun, et al.. (2024). Deep learning approach for dysphagia detection by syllable-based speech analysis with daily conversations. Scientific Reports. 14(1). 20270–20270. 2 indexed citations
4.
5.
Uhm, Kyeong Eun, Heeyoune Jung, Mooyeon Oh‐Park, et al.. (2023). Influence of preparedness on caregiver burden, depression, and quality of life in caregivers of people with disabilities. Frontiers in Public Health. 11. 1153588–1153588. 16 indexed citations
6.
Uhm, Kyeong Eun, et al.. (2022). Reliability and Validity of the Korean Version of the Lymphedema Quality of Life Questionnaire in Breast Cancer-Related Lymphedema Patients. Lymphatic Research and Biology. 21(2). 187–193. 4 indexed citations
7.
Moon, Yeonsil, Seol‐Heui Han, Yoon‐Sook Kim, et al.. (2020). Hospital adverse outcomes of the elderly in a tertiary referral hospital: A prospective cohort study of 9,586 admissions. Archives of Gerontology and Geriatrics. 92. 104253–104253. 5 indexed citations
8.
Kim, Yoon‐Sook, Jongmin Lee, Yeonsil Moon, et al.. (2020). Development of a senior-specific, citizen-oriented healthcare service system in South Korea based on the Canadian 48/6 model of care. BMC Geriatrics. 20(1). 32–32. 12 indexed citations
9.
Uhm, Kyeong Eun, Ho Joong Jung, Yoon‐Sook Kim, et al.. (2019). Early Identification of Risk Factors for Mobility Decline Among Hospitalized Older Patients. American Journal of Physical Medicine & Rehabilitation. 98(8). 699–705. 7 indexed citations
10.
Uhm, Kyeong Eun, et al.. (2019). Upper Limb Three-Dimensional Reachable Workspace Analysis Using the Kinect Sensor in Hemiplegic Stroke Patients. American Journal of Physical Medicine & Rehabilitation. 99(5). 397–403. 13 indexed citations
11.
Uhm, Kyeong Eun, et al.. (2019). Usefulness of Kinect sensor–based reachable workspace system for assessing upper extremity dysfunction in breast cancer patients. Supportive Care in Cancer. 28(2). 779–786. 7 indexed citations
12.
Park, Si‐Woon, Ilkyun Lee, Joong Il Kim, et al.. (2018). Factors associated with physical activity of breast cancer patients participating in exercise intervention. Supportive Care in Cancer. 27(5). 1747–1754. 23 indexed citations
13.
Lee, Hannah, Kyeong Eun Uhm, Ji Sung Yoo, et al.. (2018). Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors. Journal of Medical Systems. 42(12). 254–254. 40 indexed citations
14.
Uhm, Kyeong Eun, Bo-Ram Kim, Yoon‐Sook Kim, et al.. (2018). The Easy Dysphagia Symptom Questionnaire (EDSQ): a new dysphagia screening questionnaire for the older adults. European Geriatric Medicine. 10(1). 47–52. 12 indexed citations
15.
Kim, Yoon‐Sook, Seol‐Heui Han, Jae Min Park, et al.. (2017). Development of the Korean framework for senior-friendly hospitals: a Delphi study. BMC Health Services Research. 17(1). 528–528. 19 indexed citations
16.
Chang, Won Hyuk, et al.. (2016). Corticospinal excitability in the non-dominant hand is affected by BDNF genotype. Neurological Sciences. 38(2). 241–247. 3 indexed citations
17.
Uhm, Kyeong Eun, Ji Sung Yoo, Seung Hyun Chung, et al.. (2016). Effects of exercise intervention in breast cancer patients: is mobile health (mHealth) with pedometer more effective than conventional program using brochure?. Breast Cancer Research and Treatment. 161(3). 443–452. 134 indexed citations
18.
Uhm, Kyeong Eun, et al.. (2015). BDNF genotype influence the efficacy of rTMS in stroke patients. Neuroscience Letters. 594. 117–121. 24 indexed citations
19.
Kim, Yun‐Hee, et al.. (2014). Different responses to facilitatory rTMS according to BDNF genotype. Clinical Neurophysiology. 126(7). 1348–1353. 32 indexed citations
20.
Jacobs, Charlotte, et al.. (1988). Naproxen sodium in treatment of bone pain due to metastatic cancer. Pain. 35(3). 253–258. 22 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.

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