Beom‐Jun Kim

174 papers receiving 4.9k citations

Beom‐Jun Kim's Hit Papers

Long noncoding RNA MALAT1 suppresses breast cancer metastasis 2018 · 557 citations
5570+2+5Years since publication100200300400500

Peers

Beom‐Jun Kim
Comparison fields: 5 of 147
  • Orthopedics and Sports Medicine 716
  • Cancer Research 704
  • Molecular Biology 2.2k
  • Endocrinology, Diabetes and Metabolism 468
  • Nephrology 183
Replace Jung‐Min Koh with:
Jung‐Min Koh South Korea
Beata Lecka‐Czernik United States
Yosuke Okada Japan
Xiang‐Hang Luo China
K.‐H. William Lau United States
Mei Wan United States
Jianghong Zhang China
Merry Jo Oursler United States
Philip C. Trackman United States
Changjun Li China
Beom‐Jun Kim relative to Jung‐Min Koh South Korea Jung‐Min Koh's profile →
Citations per field
00.5×1.5×2.2×
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-authors

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

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long noncoding RNA MALAT1 suppresses breast cancer metastasis
Hit paper breakdown →
2018557
2 2008335
3 2011331
4 2012142
5 2010128
6 2018122
7 2018110
8 2013106
9 200898
10 201093
11 201893
12 201775
13 200972
14 201366
15 201961
16 201759
17 201058
18 201257
19 201451
20 200750

About Beom‐Jun Kim

Beom‐Jun Kim is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Oncology, Surgery and Physiology, having authored 188 papers that have together received 5.0k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (36 papers), Bone Metabolism and Diseases (21 papers), Bone health and treatments (16 papers), Adrenal and Paraganglionic Tumors (15 papers), Nutrition and Health in Aging (14 papers), Hormonal Regulation and Hypertension (9 papers), Diverse Approaches in Healthcare and Education Studies (8 papers) and Sphingolipid Metabolism and Signaling (7 papers). The work is most often cited by research in Orthopedics and Sports Medicine (716 citations), Cancer Research (704 citations), Molecular Biology (2.2k citations), Endocrinology, Diabetes and Metabolism (468 citations) and Nephrology (183 citations). Beom‐Jun Kim has collaborated with scholars based in South Korea, United States and China. 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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