Jing Song

4.1k citations
97 papers · 2.8k indexed · h-index 27
    • MicroRNA in disease regulation 16
    • Cancer-related molecular mechanisms research 11
    • RNA modifications and cancer 13
    • Circular RNAs in diseases 11
    • Ubiquitin and proteasome pathways 10
    • Cancer-related gene regulation 5
    • Epigenetics and DNA Methylation 5
  • Oncology top 5%
  • Immunology top 10%
    • T-cell and B-cell Immunology 5

Jing Song

90 papers receiving 2.8k citations

Peers

Jing Song
Comparison fields: 5 of 130
  • Cancer Research 464
  • Molecular Biology 1.9k
  • Oncology 671
  • Parasitology 119
  • Immunology 350
Replace Rafal P. Witek with:
Rafal P. Witek United States
Linda Troeberg United Kingdom
Jing Shan China
David Gilley United States
François Plénat France
Minghui Wang China
Seok Hee Park South Korea
Mitomu Kioi Japan
Feng Xie China
Bin Liu China
Jing Song relative to Rafal P. Witek United States Rafal P. Witek's profile →
Citations per field
00.5×2.7×
Rafal P. Witek · 1×
Citations per year

Countries citing papers authored by Jing Song

Since Specialization
Citations

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

Fields of papers citing papers by Jing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jing Song, 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 Jing Song Line = papers co-authored together Jing Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
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3 20246
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5 20230
6 202311
7 202212
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9 202211
10 20225
11 202112
12 202137
13 202111
14 202159
15 202131
16 20209
17 20206
18 202034
19 20187
20 2004483

About Jing Song

Jing Song is a scholar working on Cancer Research, Physiology and Molecular Biology, having authored 97 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (11 papers), Ubiquitin and proteasome pathways (10 papers), T-cell and B-cell Immunology (5 papers), Cancer-related gene regulation (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (464 citations), Molecular Biology (1.9k citations) and Oncology (671 citations). Jing Song has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yuan Chen, Linda K. Durrin, Theodore G. Krontiris, Thomas A. Wilkinson, Weidong Hu, Ziming Zhang, Qi Wang, Xiaohui Du, Michael H. Tatham and Ronald T. Hay. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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