Dawei Song

1.4k citations
46 papers · 1.1k · h-index 17

Impact in

  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Immune Cell Function and Interaction
    • Invertebrate Immune Response Mechanisms
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Spinal Fractures and Fixation Techniques 9
    • Cervical and Thoracic Myelopathy 3
    • RNA Interference and Gene Delivery 4
    • Receptor Mechanisms and Signaling 3

Dawei Song

43 papers receiving 1.1k citations

Peers

Dawei Song
Comparison fields: 5 of 88
  • Immunology 338
  • Oncology 357
  • Pathology and Forensic Medicine 130
  • Hematology 80
  • Molecular Biology 365
Replace Sam C. Nalle with:
Sam C. Nalle United States
Hong Chang China
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Eduardo Huarte United States
Shoichiro Taniuchi Japan
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Dawei Song relative to Sam C. Nalle United States Sam C. Nalle's profile →
Citations per field
00.5×2.6×
Sam C. Nalle · 1×
Citations per year

Countries citing papers authored by Dawei Song

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015349
2 201964
3 201964
4 202054
5 201844
6 202143
7 201940
8 202139
9 202036
10 201935
11 201834
12 201425
13 202021
14 201319
15 202018
16 201617
17
Effect of (-)-epigallocatechin-3-gallate in preventing bone loss in ovariectomized rats and possible mechanisms.
201416
18 201515
19 202015
20 202115

About Dawei Song

Dawei Song is a scholar working on Surgery, Molecular Biology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spinal Fractures and Fixation Techniques (9 papers), Aquaculture disease management and microbiota (8 papers), Spine and Intervertebral Disc Pathology (7 papers), RNA Interference and Gene Delivery (4 papers), interferon and immune responses (3 papers), Receptor Mechanisms and Signaling (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and Cervical and Thoracic Myelopathy (3 papers). The work is most often cited by research in Immunology (338 citations), Oncology (357 citations), Pathology and Forensic Medicine (130 citations), Hematology (80 citations) and Molecular Biology (365 citations). Dawei Song has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Li‐Peng Shan, Tian-Xiu Qiu, Martin Carroll, David Porter, Jennifer J.D. Morrissette, Saad S. Kenderian, Carl H. June, Marco Ruella, John Scholler and Vania Aikawa. Their work appears in journals such as Acta Radiologica, Aquaculture, Oncotarget, Fish & Shellfish Immunology and Journal of Orthopaedic Translation.

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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