Won-Mo Jung

887 total citations
38 papers, 624 citations indexed

About

Won-Mo Jung is a scholar working on Complementary and alternative medicine, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Won-Mo Jung has authored 38 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Complementary and alternative medicine, 8 papers in Pharmacology and 6 papers in Cognitive Neuroscience. Recurrent topics in Won-Mo Jung's work include Acupuncture Treatment Research Studies (18 papers), Traditional Chinese Medicine Studies (12 papers) and Healthcare and Venom Research (8 papers). Won-Mo Jung is often cited by papers focused on Acupuncture Treatment Research Studies (18 papers), Traditional Chinese Medicine Studies (12 papers) and Healthcare and Venom Research (8 papers). Won-Mo Jung collaborates with scholars based in South Korea and Germany. Won-Mo Jung's co-authors include Younbyoung Chae, Hi‐Joon Park, Ye‐Seul Lee, In Ho Han, Cheng‐Bin Jin, Hakil Kim, Jae N. Lee, Xuenan Cui, Mingjie Liu and In‐Seon Lee and has published in prestigious journals such as Scientific Reports, Sensors and Medicine.

In The Last Decade

Won-Mo Jung

35 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won-Mo Jung South Korea 13 211 134 111 106 95 38 624
Herbert Jelinek Australia 12 33 0.2× 97 0.7× 41 0.4× 56 0.5× 27 0.3× 22 525
Wenhao Jiang China 13 33 0.2× 81 0.6× 42 0.4× 23 0.2× 106 1.1× 49 484
Igor O. Korolev United States 8 17 0.1× 107 0.8× 41 0.4× 31 0.3× 180 1.9× 10 557
Xiaoli Liu China 17 10 0.0× 117 0.9× 135 1.2× 49 0.5× 159 1.7× 52 613
Scott L. Fleming United States 13 19 0.1× 124 0.9× 251 2.3× 21 0.2× 32 0.3× 27 734
Mazlyfarina Mohamad Malaysia 12 19 0.1× 94 0.7× 32 0.3× 19 0.2× 67 0.7× 49 505
Xianzheng Sha China 11 17 0.1× 71 0.5× 37 0.3× 24 0.2× 16 0.2× 28 413
Carla Abdelnour Spain 15 42 0.2× 16 0.1× 48 0.4× 18 0.2× 268 2.8× 35 621
Xinghua Yao China 10 166 0.8× 22 0.2× 52 0.5× 11 0.1× 21 0.2× 17 361

Countries citing papers authored by Won-Mo Jung

Since Specialization
Citations

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

Fields of papers citing papers by Won-Mo Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Mo Jung. 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 Won-Mo Jung. The network helps show where Won-Mo Jung may publish in the future.

Co-authorship network of co-authors of Won-Mo Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Won-Mo Jung. A scholar is included among the top collaborators of Won-Mo Jung 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 Won-Mo Jung. Won-Mo Jung 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.
Leem, Jungtae, Won-Mo Jung, Hi‐Joon Park, & Kyuseok Kim. (2022). A network pharmacology-based approach to explore mechanism of action of medicinal herbs for alopecia treatment. Scientific Reports. 12(1). 2852–2852. 11 indexed citations
2.
Bülthoff, I, et al.. (2021). Predominance of eyes and surface information for face race categorization. Scientific Reports. 11(1). 1927–1927. 7 indexed citations
3.
Jung, Won-Mo, et al.. (2020). Identification of candidate medicinal herbs for skincare via data mining of the classic Donguibogam text on Korean medicine. Integrative Medicine Research. 9(4). 100436–100436. 11 indexed citations
4.
Jung, Won-Mo, et al.. (2019). Expectations of the Physiological Responses Can Change the Somatosensory Experience for Acupuncture Stimulation. Frontiers in Neuroscience. 13. 74–74. 6 indexed citations
5.
Lee, Ye‐Seul, Won-Mo Jung, Ulrike Bingel, & Younbyoung Chae. (2019). The Context of Values in Pain Control: Understanding the Price Effect in Placebo Analgesia. Journal of Pain. 21(7-8). 781–789. 9 indexed citations
6.
Jang, Jae‐Hwan, Won-Mo Jung, Heeyoung Kim, et al.. (2019). Acupuncture Improves Comorbid Cognitive Impairments Induced by Neuropathic Pain in Mice. Frontiers in Neuroscience. 13. 995–995. 15 indexed citations
7.
Jung, Won-Mo, Yeonhee Ryu, Hi‐Joon Park, Hye‐Jung Lee, & Younbyoung Chae. (2018). Brain activation during the expectations of sensory experience for cutaneous electrical stimulation. NeuroImage Clinical. 19. 982–989. 10 indexed citations
8.
Leem, Jungtae, et al.. (2018). Exploring the combination and modular characteristics of herbs for alopecia treatment in traditional Chinese medicine: an association rule mining and network analysis study. BMC Complementary and Alternative Medicine. 18(1). 204–204. 27 indexed citations
9.
Jung, Won-Mo, Ye‐Seul Lee, Chang-Eop Kim, et al.. (2018). Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model. Frontiers of Medicine. 13(1). 112–120. 20 indexed citations
10.
Jung, Won-Mo, Soon Ho Lee, Ye‐Seul Lee, & Younbyoung Chae. (2017). Exploring spatial patterns of acupoint indications from clinical data. Medicine. 96(17). e6768–e6768. 25 indexed citations
11.
Lee, Ye‐Seul, et al.. (2017). The dynamic relationship between emotional and physical states: an observational study of personal health records. Neuropsychiatric Disease and Treatment. Volume 13. 411–419. 15 indexed citations
12.
Lee, Ye‐Seul, Yeonhee Ryu, Won-Mo Jung, et al.. (2017). Understanding Mind‐Body Interaction from the Perspective of East Asian Medicine. Evidence-based Complementary and Alternative Medicine. 2017(1). 7618419–7618419. 10 indexed citations
13.
Yun, Younghee, Won-Mo Jung, Hyunho Kim, et al.. (2017). Exploring syndrome differentiation using non-negative matrix factorization and cluster analysis in patients with atopic dermatitis. Computers in Biology and Medicine. 87. 70–76. 2 indexed citations
14.
Jung, Won-Mo, Taehyung Lee, Hi‐Joon Park, et al.. (2016). More than DeQi: Spatial Patterns of Acupuncture-Induced Bodily Sensations. Frontiers in Neuroscience. 10. 462–462. 29 indexed citations
15.
Jung, Won-Mo, et al.. (2015). The Status of Mobile Personal Health Records of Atopic Dermatitis : An evaluation of features and functionality. 19(2). 103–112. 1 indexed citations
16.
Jung, Won-Mo, Younbyoung Chae, & Bo-Hyoung Jang. (2015). Development of Markup Language for Medical Record Charting: A Charting Language. Studies in health technology and informatics. 216. 879–879. 3 indexed citations
17.
Lee, Taehyung, Won-Mo Jung, In‐Seon Lee, et al.. (2014). Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine. Evidence-based Complementary and Alternative Medicine. 2014(1). 329563–329563. 27 indexed citations
18.
Lee, In‐Seon, Won-Mo Jung, Song‐Yi Kim, et al.. (2012). Systematic Review of Selection of Acupuncture Points for Lower Back Pain. Korean Journal of Acupuncture. 29(4). 519–536. 13 indexed citations
19.
Lee, Soonho, In‐Seon Lee, Won-Mo Jung, et al.. (2012). A History of Visualization for Biomedical Information of Meridian. Korean Journal of Acupuncture. 29(3). 371–384. 2 indexed citations
20.
Kim, Song‐Yi, Young-Jae Park, Won-Mo Jung, et al.. (2010). Comparative Study of Relationship between the Depressive Tendency and Tenderness of Alarm Points and Transport Points. Korean Journal of Acupuncture. 27(4). 97–109. 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.

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