Beom‐Jun Kim

7.8k citations
185 papers · 4.8k indexed · 1 hit paper · h-index 34

Beom‐Jun Kim

170 papers receiving 4.8k citations

Hit Papers

Long noncoding RNA MALAT1 suppresses breast cancer metast...5462018202620202023100200300400500

Peers

Beom‐Jun Kim
Comparison fields: 5 of 150
  • Orthopedics and Sports Medicine 955
  • Cancer Research 814
  • Endocrinology, Diabetes and Metabolism 617
  • Molecular Biology 2.4k
  • Nephrology 191
Replace Jung‐Min Koh with:
Jung‐Min Koh South Korea
Beata Lecka‐Czernik United States
Ling‐Qing Yuan China
Xiang‐Hang Luo China
K.‐H. William Lau United States
Yosuke Okada Japan
Jianghong Zhang China
Hiroshi Kaji Japan
Giacomina Brunetti Italy
Hua Zhu Ke United States
Beom‐Jun Kim relative to Jung‐Min Koh South Korea Jung‐Min Koh's profile →
Citations per field
00.5×1.5×1.9×
Jung‐Min Koh · 1×
Citations per year

Countries citing papers authored by Beom‐Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Beom‐Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Beom‐Jun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beom‐Jun Kim Line = papers co-authored together Beom‐Jun Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202510
3 20250
4 20244
5 20241
6 20242
7 20233
8 20233
9 202216
10 202017
11 20197
12 201813
13 201813
14
Long noncoding RNA MALAT1 suppresses breast cancer metastasisbreakdown →
2018546
15 201827
16
The Influence of Boxing Athlete’s Desperation on Exercise Flow and Game Performance
20181
17 201773
18 201623
19 20152
20
A case of lactic acidosis caused by thiamine deficiency
20073

About Beom‐Jun Kim

Beom‐Jun Kim is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology, having authored 185 papers that have together received 4.8k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (44 papers), Nutrition and Health in Aging (31 papers), Bone Metabolism and Diseases (30 papers), Bone health and treatments (27 papers), Adrenal and Paraganglionic Tumors (18 papers), Hormonal Regulation and Hypertension (15 papers), Pituitary Gland Disorders and Treatments (12 papers) and Bone and Joint Diseases (12 papers). The work is most often cited by research in Orthopedics and Sports Medicine (955 citations), Cancer Research (814 citations) and Endocrinology, Diabetes and Metabolism (617 citations). Beom‐Jun Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jung‐Min Koh, Seung Hun Lee, Seong Hee Ahn, Mark W. Hamrick, Sung Yun Jung, Ghi Su Kim, Sung Jin Bae, Young‐Sun Lee, S. H. Lee and Jun Qin. Their work appears in journals such as Osteoporosis International, The Journal of Clinical Endocrinology & Metabolism, Bone, Calcified Tissue International and Biochemical and Biophysical Research Communications.

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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