Yutong Song

4.0k citations
50 papers · 2.8k indexed · 3 hit papers · h-index 19

Yutong Song

47 papers receiving 2.8k citations

Hit Papers

Self-Supporting, ...1772008202620142020200400600

Peers

Yutong Song
Comparison fields: 5 of 132
  • Infectious Diseases 886
  • Hepatology 239
  • Structural Biology 42
  • Cancer Research 409
  • Hematology 238
Replace Hangping Yao with:
Hangping Yao China
Dorotheé von Laer Germany
José M. Casasnovas Spain
Terje Dokland United States
Francis Barany United States
Heinz Zeichhardt Germany
Gerald Nakamura United States
Marion Subklewe Germany
Andrew Macdonald United Kingdom
Philippe Roingeard France
Yutong Song relative to Hangping Yao China Hangping Yao's profile →
Citations per field
00.5×2.5×
Hangping Yao · 1×
Citations per year

Countries citing papers authored by Yutong Song

Since Specialization
Citations

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

Fields of papers citing papers by Yutong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20249
5 202411
6 202413
7 20241
8 202312
9 20231
10
Self-Supporting, Binder-Free, and Flexible Ti3C2Tx MXene-Based Supercapacitor Electrode with Improved Electrochemical Performancebreakdown →
2022177
11 20220
12 2021106
13 202018
14
Molecular Architecture of the SARS-CoV-2 Virusbreakdown →
2020703
15 201911
16 201623
17 201312
18
microRNA-122 stimulates translation of hepatitis C virus RNAbreakdown →
2008547
19 2006108
20 200577

About Yutong Song

Yutong Song is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Transportation, having authored 50 papers that have together received 2.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (9 papers), RNA and protein synthesis mechanisms (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Mosquito-borne diseases and control (5 papers), Solar-Powered Water Purification Methods (3 papers), Plant Virus Research Studies (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Infectious Diseases (886 citations), Hepatology (239 citations) and Structural Biology (42 citations). Yutong Song has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Michael Niepmann, Junfeng Zheng, Christian G. Schüttler, Ellie Tzima, Sai Li, Zheyuan Zhang, Heidi Trusheim, Klaus T. Preissner, Eckard Wimmer and Nanping Wu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Advanced Materials.

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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