Hyeonmok Kim

607 total citations
24 papers, 441 citations indexed

About

Hyeonmok Kim is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hyeonmok Kim has authored 24 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Orthopedics and Sports Medicine, 10 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hyeonmok Kim's work include Bone health and osteoporosis research (11 papers), Bone health and treatments (6 papers) and Pituitary Gland Disorders and Treatments (5 papers). Hyeonmok Kim is often cited by papers focused on Bone health and osteoporosis research (11 papers), Bone health and treatments (6 papers) and Pituitary Gland Disorders and Treatments (5 papers). Hyeonmok Kim collaborates with scholars based in South Korea, United States and Sudan. Hyeonmok Kim's co-authors include Seung Hun Lee, Jung‐Min Koh, Beom‐Jun Kim, Seong Hee Ahn, Young‐Sun Lee, Jae Hyeon Kim, Sun‐Kyeong Lee, Wook‐Young Baek, Kee‐Ho Song and Sunghwan Suh and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Hyeonmok Kim

24 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyeonmok Kim South Korea 12 183 127 93 88 80 24 441
Tiejian Jiang China 14 285 1.6× 61 0.5× 80 0.9× 72 0.8× 79 1.0× 30 480
Brianne S Thicke United States 7 258 1.4× 132 1.0× 113 1.2× 44 0.5× 39 0.5× 7 482
Zhengju Fu China 10 158 0.9× 48 0.4× 66 0.7× 78 0.9× 77 1.0× 14 414
Munevver Parla Makinistoglu United States 7 348 1.9× 75 0.6× 63 0.7× 43 0.5× 55 0.7× 8 517
Ivana Pulvirenti Italy 7 279 1.5× 313 2.5× 55 0.6× 60 0.7× 52 0.7× 7 527
Toshimi Tando Japan 12 318 1.7× 121 1.0× 73 0.8× 32 0.4× 33 0.4× 14 522
Mascha Koenen Germany 8 144 0.8× 51 0.4× 29 0.3× 53 0.6× 32 0.4× 13 338
Qiwei Sun United States 12 224 1.2× 107 0.8× 57 0.6× 29 0.3× 75 0.9× 28 507
F. van der Ham Netherlands 9 170 0.9× 149 1.2× 41 0.4× 78 0.9× 140 1.8× 15 629
Brittany Eckhardt United States 7 246 1.3× 104 0.8× 127 1.4× 32 0.4× 28 0.3× 8 484

Countries citing papers authored by Hyeonmok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyeonmok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeonmok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeonmok Kim. A scholar is included among the top collaborators of Hyeonmok 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 Hyeonmok Kim. Hyeonmok 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.
Kim, Hyeonmok, Young‐Sun Lee, Jin‐Man Kim, et al.. (2021). SLIT3 promotes myogenic differentiation as a novel therapeutic factor against muscle loss. Journal of Cachexia Sarcopenia and Muscle. 12(6). 1724–1740. 18 indexed citations
2.
Kim, Tae Ho, et al.. (2021). Changes in the glucose and insulin responses according to high-protein snacks for diabetic patients. Nutrition Research and Practice. 15(1). 54–54. 5 indexed citations
3.
Kim, Hyeonmok, et al.. (2021). Association of Water Intake with Hand Grip Strength in Community-Dwelling Older Adults. Nutrients. 13(6). 1756–1756. 3 indexed citations
4.
Ahn, Mi Young, et al.. (2020). Clinical Experience with Use of Remdesivir in the Treatment of Severe Acute Respiratory Syndrome Coronavirus 2: a Case Series. Infection and Chemotherapy. 52(3). 369–369. 10 indexed citations
5.
Kim, Hyeonmok, et al.. (2020). Differential association of dietary fat intake with DXA-based estimates of bone strength according to sex in the KNHANES IV population. Archives of Osteoporosis. 15(1). 62–62. 3 indexed citations
6.
Kim, Beom‐Jun, Young‐Sun Lee, Sun‐Young Lee, et al.. (2018). Osteoclast-secreted SLIT3 coordinates bone resorption and formation. Journal of Clinical Investigation. 128(4). 1429–1441. 118 indexed citations
7.
Lee, Seung Hun, Mi Kyung Kwak, Seong Hee Ahn, et al.. (2018). Change of skeletal muscle mass in patients with pheochromocytoma. Journal of Bone and Mineral Metabolism. 37(4). 694–702. 7 indexed citations
8.
Kim, Jae Hyeon, Mi Kyung Kwak, Seong Hee Ahn, et al.. (2018). Alteration in skeletal muscle mass in women with subclinical hypercortisolism. Endocrine. 61(1). 134–143. 18 indexed citations
9.
Kim, Beom‐Jun, Mi Kyung Kwak, Seong Hee Ahn, et al.. (2017). Lower Bone Mass and Higher Bone Resorption in Pheochromocytoma: Importance of Sympathetic Activity on Human Bone. The Journal of Clinical Endocrinology & Metabolism. 102(8). 2711–2718. 27 indexed citations
10.
Lee, Seung Hun, Kee‐Ho Song, Jinju Kim, et al.. (2016). New diagnostic criteria for subclinical hypercortisolism using postsurgical hypocortisolism: the Co-work of Adrenal Research study. Clinical Endocrinology. 86(1). 10–18. 23 indexed citations
11.
Lee, Seung Hun, Eun-Hee Cho, Seong Hee Ahn, et al.. (2016). Prediction of Future Osteoporotic Fracture Occurrence by Genetic Profiling: A 6-Year Follow-Up Observational Study. The Journal of Clinical Endocrinology & Metabolism. 101(3). 1215–1224. 18 indexed citations
12.
13.
Lim, Yejee, Chong Hwa Kim, Sunyoung Lee, et al.. (2016). Decreased Plasma Levels of Sclerostin But Not Dickkopf-1 are Associated with an Increased Prevalence of Osteoporotic Fracture and Lower Bone Mineral Density in Postmenopausal Korean Women. Calcified Tissue International. 99(4). 350–359. 20 indexed citations
14.
15.
Kim, Hyeonmok, Seung Hun Lee, Jin Ju Kim, et al.. (2015). The Association of Vitamin D With Femoral Neck Strength: An Additional Evidence of Vitamin D on Bone Health. The Journal of Clinical Endocrinology & Metabolism. 100(8). 3118–3125. 6 indexed citations
16.
Ahn, Seong Hee, Hyeonmok Kim, Beom‐Jun Kim, Seung Hun Lee, & Jung‐Min Koh. (2015). Insulin resistance and composite indices of femoral neck strength in Asians: the fourth Korea National Health and Nutrition Examination Survey (KNHANES IV). Clinical Endocrinology. 84(2). 185–193. 15 indexed citations
17.
Kim, Hyeonmok, Seong Hee Ahn, Seung Hun Lee, et al.. (2015). The association between serum dehydroepiandrosterone Sulphate (DHEA‐S) level and bone mineral density in Korean men. Clinical Endocrinology. 83(2). 173–179. 11 indexed citations
18.
Kim, Hyeonmok, Beom‐Jun Kim, Seong Hee Ahn, Seung Hun Lee, & Jung‐Min Koh. (2014). Higher plasma platelet-activating factor levels are associated with increased risk of vertebral fracture and lower bone mineral density in postmenopausal women. Journal of Bone and Mineral Metabolism. 33(6). 701–707. 6 indexed citations
19.
20.
Ahn, Seong Hee, Seung Hun Lee, Hyeonmok Kim, Beom‐Jun Kim, & Jung‐Min Koh. (2014). Different Relationships Between Body Compositions and Bone Mineral Density According to Gender and Age in Korean Populations (KNHANES 2008–2010). The Journal of Clinical Endocrinology & Metabolism. 99(10). 3811–3820. 23 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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