Yutong Song
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Cancer Research top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Immunology top 10%
- Co-authors
- Michael NiepmannJunfeng ZhengChristian G. SchüttlerEllie TzimaSai LiZheyuan ZhangHeidi TrusheimKlaus T. Preissner
- Topics
- Viral Infections and Immunology Research (9 papers)RNA and protein synthesis mechanisms (8 papers)SARS-CoV-2 and COVID-19 Research (5 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yutong Song
47 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.1k
- Infectious Diseases 886
- Cancer Research 409
- Cardiology and Cardiovascular Medicine 371
- Immunology 328
Countries citing papers authored by Yutong Song
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
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 of co-authors of Yutong Song
This figure shows the co-authorship network connecting the top 25 collaborators of Yutong Song. A scholar is included among the top collaborators of Yutong Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yutong Song. Yutong Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 11 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | Self-Supporting, Binder-Free, and Flexible Ti3C2Tx MXene-Based Supercapacitor Electrode with Improved Electrochemical Performancebreakdown → | 177 |
| 11 | 0 | |
| 12 | 106 | |
| 13 | 18 | |
| 14 | Molecular Architecture of the SARS-CoV-2 Virusbreakdown → | 703 |
| 15 | 11 | |
| 16 | 23 | |
| 17 | 12 | |
| 18 | microRNA-122 stimulates translation of hepatitis C virus RNAbreakdown → | 547 |
| 19 | 108 | |
| 20 | 77 |
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) and SARS-CoV-2 and COVID-19 Research (5 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.