Kehan Song

1.4k citations
35 papers · 901 indexed · 1 hit paper · h-index 18
Topics
Sarcoma Diagnosis and Treatment (12 papers)Bone Tumor Diagnosis and Treatments (12 papers)Musculoskeletal synovial abnormalities and treatments (5 papers)

In The Last Decade

Kehan Song

34 papers receiving 894 citations

Hit Papers

A clinical-stage Nrf2 activator suppresses osteoclast dif...202420262025202410203040

Peers

Kehan Song
Comparison fields: 5 of 99
  • Molecular Biology 295
  • Pulmonary and Respiratory Medicine 235
  • Surgery 209
  • Rheumatology 182
  • Pathology and Forensic Medicine 156
Replace Jung Woo Lee with:
Jung Woo Lee South Korea
Chan Hong Jeon South Korea
Wenwei Qian China
Guodong Wang China
Kenichiro Kusano Japan
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Lene Bæksgaard Denmark
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Kehan Song relative to Jung Woo Lee South Korea Jung Woo Lee's profile →
Citations per field
00.5×2.6×
Jung Woo Lee · 1×
Citations per year

Countries citing papers authored by Kehan Song

Since Specialization
Citations

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

Fields of papers citing papers by Kehan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kehan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kehan Song. A scholar is included among the top collaborators of Kehan Song 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 Kehan Song. Kehan Song 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
#WorkIndexed citations
1 1
2 20
3
A clinical-stage Nrf2 activator suppresses osteoclast differentiation via the iron-ornithine axisbreakdown →
48
4 2
5 5
6 25
7 36
8 12
9 7
10 72
11 7
12 133
13 7
14 56
15 33
16 26
17 22
18 45
19 36
20 10

About Kehan Song

Kehan Song is a scholar working on Rheumatology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 901 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (12 papers), Bone Tumor Diagnosis and Treatments (12 papers) and Musculoskeletal synovial abnormalities and treatments (5 papers). The work is most often cited by research in Rheumatology (182 citations), Orthopedics and Sports Medicine (96 citations) and Pathology and Forensic Medicine (156 citations). Kehan Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feng Li, Honglei Kang, Yimin Dong, Kai‐Yuan Lin, Meipeng Zhu, Renpeng Peng, Xiaosheng Ma, Yayun Zhang, Hanfeng Guan and Xiaosheng Ma. Their work appears in journals such as Cell Metabolism, Cancer and The FASEB Journal.

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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