Qingkun Song

1.6k citations
76 papers · 1.2k indexed · h-index 19
Topics
Cancer Immunotherapy and Biomarkers (20 papers)Esophageal Cancer Research and Treatment (14 papers)Immunotherapy and Immune Responses (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Qingkun Song

70 papers receiving 1.2k citations

Peers

Qingkun Song
Comparison fields: 5 of 113
  • Oncology 486
  • Molecular Biology 270
  • Immunology 209
  • Pulmonary and Respiratory Medicine 184
  • Cancer Research 178
Replace Xiao-Jun Wu with:
Xiao-Jun Wu China
Iris Burkholder Germany
Frank D. Groves United States
Niels Kokot United States
Jennette D. Sison United States
Serban Negoita United States
Nikolaus Becker Germany
Shaoli Zhang China
Yuan‐Sheng Zang China
Sverre Harvei Norway
Qingkun Song relative to Xiao-Jun Wu China Xiao-Jun Wu's profile →
Citations per field
00.5×1.5×2.2×
Xiao-Jun Wu · 1×
Citations per year

Countries citing papers authored by Qingkun Song

Since Specialization
Citations

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

Fields of papers citing papers by Qingkun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingkun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Qingkun Song. A scholar is included among the top collaborators of Qingkun 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 Qingkun Song. Qingkun 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 0
2 0
3 0
4 0
5 1
6 8
7 2
8 2
9
microRNA-582 Potentiates Liver and Lung Metastasis of Gastric Carcinoma Cells Through the FOXO3-Mediated PI3K/Akt/Snail Pathway
1
10 8
11 41
12 9
13 6
14 9
15 4
16 13
17 8
18 4
19 41
20 6

About Qingkun Song

Qingkun Song is a scholar working on Oncology, Immunology and Immunology and Allergy, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (20 papers), Esophageal Cancer Research and Treatment (14 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Oncology (486 citations), Cancer Research (178 citations) and Immunology (209 citations). Qingkun Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuchen Li, Jun Ren, David C. Christiani, Jiangping Wu, Bryan W. Day, Xiudong Guan, Yanjie Zhao, Wang Jia, Quan Zhou and Jingyan Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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