Kun Song

4.0k total citations
167 papers, 2.3k citations indexed

About

Kun Song is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Biomedical Engineering. According to data from OpenAlex, Kun Song has authored 167 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 26 papers in Oncology and 25 papers in Biomedical Engineering. Recurrent topics in Kun Song's work include Endometrial and Cervical Cancer Treatments (19 papers), Nanoplatforms for cancer theranostics (16 papers) and Ovarian cancer diagnosis and treatment (16 papers). Kun Song is often cited by papers focused on Endometrial and Cervical Cancer Treatments (19 papers), Nanoplatforms for cancer theranostics (16 papers) and Ovarian cancer diagnosis and treatment (16 papers). Kun Song collaborates with scholars based in China, United States and Canada. Kun Song's co-authors include Beihua Kong, Jun Ding, Shiqing Lu, Cunzhong Yuan, Qifeng Yang, Xuantao Su, James Z. Xing, Beihua Kong, Feiping Nie and Feng Geng and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Kun Song

159 papers receiving 2.3k citations

Peers

Kun Song
Comparison fields: 5 of 159
  • Molecular Biology 455
  • Biomedical Engineering 407
  • Materials Chemistry 351
  • Pulmonary and Respiratory Medicine 333
  • Oncology 291
Replace Yifan Wang with:
Yifan Wang China
Kai Jin China
Nenad Filipović Serbia
Xiaoming Jin China
Siping Chen China
Naoyuki Watanabe Japan
Xiaomao Li China
Mohammed S. Alqahtani Saudi Arabia
Yonghong He China
Yifan Wang China View profile →
Citations per field, relative to Kun Song
Kun Song · 1×
Citations per year, relative to Kun Song
Kun Song · 1×

Countries citing papers authored by Kun Song

Since Specialization
Citations

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

Fields of papers citing papers by Kun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Song. A scholar is included among the top collaborators of Kun 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 Kun Song. Kun 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
# Work Indexed citations
1 0
2 4
3 0
4 3
5 8
6 3
7 1
8 8
9 25
10 68
11 3
12 20
13 2
14 10
15 27
16 29
17 15
18 9
19 3
20
[Meta-analysis of the efficacy between gemcitabine-alone and gemcitabine-based chemotherapy applied in advanced pancreatic cancer].
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026