Bin Song

43.9k citations
514 papers · 31.5k · 4 hit papers · h-index 52

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 0.1%
    • Long-Term Effects of COVID-19

Papers in

Bin Song

491 papers receiving 30.7k citations

Bin Song's Hit Papers

Nanovesicles for Lipid Metabolism Reprogram-Enhanced Ferroptosis and Magnetotherapy of Refractory Tumors and Inhibiting Metastasis with Activated Innate Immunity 2025 · 35 citations
350+2+4Years since publication5.0k10.0k15.0k20.0k

Peers

Bin Song
Comparison fields: 5 of 220
  • Infectious Diseases 12.1k
  • Neurology 5.1k
  • Modeling and Simulation 1.1k
  • Critical Care and Intensive Care Medicine 971
  • Applied Microbiology and Biotechnology 338
Replace Wenhua Liang with:
Wenhua Liang China
Lanjuan Li China
Yi Zhang China
Jinlin Wang China
Nanshan Zhong China
Wenjuan Wu China
Jianwei Wang China
Jianxing He China
Jianping Zhao China
Giuseppe Lippi Italy
Bin Song relative to Wenhua Liang China Wenhua Liang's profile →
Citations per field
00.5×2×2.6×
Wenhua Liang · 1×
Citations per year

Countries citing papers authored by Bin Song

Since Specialization
Citations

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

Fields of papers citing papers by Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 514 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study
Hit paper breakdown →
202020352
2
Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review
Hit paper breakdown →
2020984
3 2009320
4 2020292
5 2020182
6
Wearable multifunctional organohydrogel-based electronic skin for sign language recognition under complex environments
Hit paper breakdown →
2023150
7 2023142
8 2019133
9 2010130
10 2018122
11 2022119
12 2020115
13 2013112
14 1999110
15 2019107
16 2020105
17 202299
18 201196
19 202095
20 201288

About Bin Song

Bin Song is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 514 papers that have together received 31.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (66 papers), MRI in cancer diagnosis (45 papers), Radiomics and Machine Learning in Medical Imaging (38 papers), Liver Disease Diagnosis and Treatment (28 papers), Metal complexes synthesis and properties (28 papers), Lanthanide and Transition Metal Complexes (24 papers), Nanoparticle-Based Drug Delivery (22 papers) and COVID-19 Clinical Research Studies (17 papers). The work is most often cited by research in Infectious Diseases (12.1k citations), Neurology (5.1k citations), Modeling and Simulation (1.1k citations), Critical Care and Intensive Care Medicine (971 citations) and Applied Microbiology and Biotechnology (338 citations). Bin Song has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yeming Wang, Xudong Wu, Jiuyang Xu, Yuan Wei, Bin Cao, Shengjin Tu, Xiaoying Gu, Guohui Fan, Hua Chen and Fei Zhou. Their work appears in journals such as European Radiology, Insights into Imaging, Abdominal Radiology, Annals of Translational Medicine and 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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