Erwei Song

30.5k citations
227 papers · 22.7k indexed · 15 hit papers · h-index 72

Impact in

  • Cancer Research top 0.02%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 0.2%
    • Cancer Cells and Metastasis

Papers in

    • Cancer-related molecular mechanisms research 49
    • MicroRNA in disease regulation 33
    • Breast Cancer Treatment Studies 28
    • Cancer Cells and Metastasis 26
    • HER2/EGFR in Cancer Research 20

Erwei Song

221 papers receiving 22.4k citations

Hit Papers

A high-fat diet promotes cancer progression by inducing gut microbiota–mediated leucine production and PMN-MDSC differentiation 2024 · 57 citations
57200320262010201850010001.5k

Peers

Erwei Song
Comparison fields: 5 of 154
  • Cancer Research 10.1k
  • Oncology 6.4k
  • Immunology 4.4k
  • Molecular Biology 14.3k
  • Pathology and Forensic Medicine 1.0k
Replace Guiyuan Li with:
Guiyuan Li China
Ruggero De Maria Italy
Andrew L. Kung United States
Marcus E. Peter United States
Rolf A. Brekken United States
Jan Paul Medema Netherlands
Yibin Kang United States
Kongming Wu China
Hideyuki Saya Japan
Tannishtha Reya United States
Erwei Song relative to Guiyuan Li China Guiyuan Li's profile →
Citations per field
00.5×1.5×
Guiyuan Li · 1×
Citations per year

Countries citing papers authored by Erwei Song

Since Specialization
Citations

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

Fields of papers citing papers by Erwei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20244
4 20238
5 20230
6 2022131
7
DNA of neutrophil extracellular traps promotes cancer metastasis via CCDC25
Hit paper breakdown →
2020689
8 2020149
9 2019128
10 2018145
11 2017148
12 201743
13 2017148
14 20177
15 201466
16 201475
17 2014170
18 2011125
19 2009351
20 2004207

About Erwei Song

Erwei Song is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 227 papers that have together received 22.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (49 papers), MicroRNA in disease regulation (33 papers), Breast Cancer Treatment Studies (28 papers), RNA modifications and cancer (26 papers), Cancer Cells and Metastasis (26 papers), RNA Interference and Gene Delivery (20 papers), HER2/EGFR in Cancer Research (20 papers) and Circular RNAs in diseases (17 papers). The work is most often cited by research in Cancer Research (10.1k citations), Oncology (6.4k citations), Immunology (4.4k citations), Molecular Biology (14.3k citations) and Pathology and Forensic Medicine (1.0k citations). Erwei Song has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xueman Chen, Herui Yao, Qiang Liu, Chang Gong, Phei Er Saw, Judy Lieberman, Fengxi Su, Fengyan Yu, Di Huang and Shicheng Su. Their work appears in journals such as Cancer Research, Nature Communications, Oncogene, Oncotarget and Annals of Oncology.

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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