Yi Yu

749 total citations
30 papers, 516 citations indexed

About

Yi Yu is a scholar working on Molecular Biology, Infectious Diseases and Biomaterials. According to data from OpenAlex, Yi Yu has authored 30 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Biomaterials. Recurrent topics in Yi Yu's work include COVID-19 Clinical Research Studies (5 papers), Supramolecular Self-Assembly in Materials (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Yi Yu is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Supramolecular Self-Assembly in Materials (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Yi Yu collaborates with scholars based in China, United States and Macao. Yi Yu's co-authors include R. Keith Reeves, Jacqueline Gillis, Michelle Connole, R. Paul Johnson, Jianfen Fan, Youyong Li, Jeffrey D. Lifson, Xiliang Yan, R. Paul Johnson and Ronald C. Desrosiers and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Experimental Medicine and Blood.

In The Last Decade

Yi Yu

28 papers receiving 505 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yi Yu China 12 159 104 104 103 77 30 516
Sean Burke United States 12 64 0.4× 134 1.3× 165 1.6× 151 1.5× 42 0.5× 15 626
Nor Fazila Che Mat Malaysia 11 289 1.8× 28 0.3× 67 0.6× 88 0.9× 102 1.3× 28 708
Xiaoling Li China 14 76 0.5× 26 0.3× 53 0.5× 130 1.3× 58 0.8× 36 683
Rachel R. Taylor United Kingdom 11 249 1.6× 37 0.4× 28 0.3× 110 1.1× 150 1.9× 14 910
Renne Abramovich Israel 7 204 1.3× 25 0.2× 39 0.4× 206 2.0× 141 1.8× 10 465
Juan Zurita United States 12 109 0.7× 62 0.6× 150 1.4× 208 2.0× 184 2.4× 16 672
F. Javier Ibarrondo United States 13 208 1.3× 189 1.8× 165 1.6× 92 0.9× 78 1.0× 28 464
Jennifer M. Smith United States 14 195 1.2× 15 0.1× 87 0.8× 111 1.1× 60 0.8× 24 603
Wu He China 10 125 0.8× 65 0.6× 91 0.9× 212 2.1× 58 0.8× 21 711
Mariano Busso United States 19 37 0.2× 170 1.6× 194 1.9× 282 2.7× 32 0.4× 36 1.2k

Countries citing papers authored by Yi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Yu. A scholar is included among the top collaborators of Yi Yu 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 Yi Yu. Yi Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Chong, Junjun He, Zan Chen, et al.. (2025). A survey for large language models in biomedicine. Artificial Intelligence in Medicine. 170. 103268–103268. 3 indexed citations
2.
Wang, Jiawen, et al.. (2025). Enhancing the understandings on SARS-CoV-2 main protease (Mpro) mutants from molecular dynamics and machine learning. International Journal of Biological Macromolecules. 310(Pt 3). 143076–143076. 1 indexed citations
3.
He, Mengfan, Xiang Sun, Yi Yu, et al.. (2025). The experience of social isolation among community-dwelling older adults: a qualitative study. BMC Geriatrics. 25(1). 1026–1026.
4.
Lin, Lin, Yi Yu, Weirong Gu, Rong Hu, & Hao Zhu. (2024). Knowledge, attitude and practice regarding constipation in pregnancy among pregnant women in Shanghai: a cross-sectional study. Frontiers in Public Health. 12. 1378301–1378301.
5.
Kaneko, Yudai, Akira Sugiyama, Toshiya Tanaka, et al.. (2022). The serological diversity of serum IgG/IgA/IgM against SARS‐CoV‐2 nucleoprotein, spike, and receptor‐binding domain and neutralizing antibodies in patients with COVID‐19 in Japan. Health Science Reports. 5(3). e572–e572. 6 indexed citations
6.
Kurano, Makoto, Hiroko Ohmiya, Yoshiro Kishi, et al.. (2022). Measurement of SARS-CoV-2 Antibody Titers Improves the Prediction Accuracy of COVID-19 Maximum Severity by Machine Learning in Non-Vaccinated Patients. Frontiers in Immunology. 13. 811952–811952. 10 indexed citations
7.
Wang, Jiawen, et al.. (2022). Bulk structure of Si2BN predicted by computational approaches. Diamond and Related Materials. 130. 109530–109530. 4 indexed citations
8.
Zhang, Leisheng, Yi Yu, Hao Yu, & Zhongchao Han. (2021). Therapeutic prospects of mesenchymal stem/stromal cells in COVID-19 associated pulmonary diseases: From bench to bedside. World Journal of Stem Cells. 13(8). 1058–1071. 11 indexed citations
9.
Kurano, Makoto, Yoshifumi Morita, Hiroko Ohmiya, et al.. (2021). Association of the Serum Levels of the Nucleocapsid Antigen of SARS-CoV-2 With the Diagnosis, Disease Severity, and Antibody Titers in Patients With COVID-19: A Retrospective Cross-Sectional Study. Frontiers in Microbiology. 12. 791489–791489. 6 indexed citations
10.
11.
Wang, Jiawen, et al.. (2021). The Inhibition of SARS-CoV-2 3CL Mpro by Graphene and Its Derivatives from Molecular Dynamics Simulations. ACS Applied Materials & Interfaces. 14(1). 191–200. 11 indexed citations
12.
Zhang, Hongyan, Linwei Wang, Yuanyuan Chen, et al.. (2020). Outcomes of novel coronavirus disease 2019 (COVID‐19) infection in 107 patients with cancer from Wuhan, China. Cancer. 126(17). 4023–4031. 74 indexed citations
13.
Zhu, Guokang, Jia Li, Zi Yang Meng, et al.. (2020). Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19. Discrete Dynamics in Nature and Society. 2020. 1–8. 59 indexed citations
14.
Wang, Ying, Xijing Yang, Yi Yu, et al.. (2017). Immunotherapy of patient with hepatocellular carcinoma using cytotoxic T lymphocytes ex vivo activated with tumor antigen-pulsed dendritic cells. Journal of Cancer. 9(2). 275–287. 15 indexed citations
15.
Adnan, Sama, R. Keith Reeves, Jacqueline Gillis, et al.. (2016). Persistent Low-Level Replication of SIVΔnef Drives Maturation of Antibody and CD8 T Cell Responses to Induce Protective Immunity against Vaginal SIV Infection. PLoS Pathogens. 12(12). e1006104–e1006104. 17 indexed citations
16.
Adnan, Sama, Arnaud D. Colantonio, Yi Yu, et al.. (2015). CD8 T Cell Response Maturation Defined by Anentropic Specificity and Repertoire Depth Correlates with SIVΔnef-induced Protection. PLoS Pathogens. 11(2). e1004633–e1004633. 11 indexed citations
17.
Li, Hui, Jianfen Fan, Rui Li, Yi Yu, & Xiliang Yan. (2014). Molecular dynamics studies on the influences of a gradient electric field on the water chain in a peptide nanotube. Journal of Molecular Modeling. 20(8). 2370–2370. 5 indexed citations
18.
Li, Rui, Jianfen Fan, Hui Li, Xiliang Yan, & Yi Yu. (2013). Exploring the Dynamic Behaviors and Transport Properties of Gas Molecules in a Transmembrane Cyclic Peptide Nanotube. The Journal of Physical Chemistry B. 117(48). 14916–14927. 16 indexed citations
19.
20.
Wang, Guitang, et al.. (1994). STUDES ON TWO NEW SPECIES OF RHABDOCHONA(PAPASITIC NEMATODES)FROM WULINGMOUTAIN REGION. Acta Hydrobiologica Sinica. 18(3). 280–286. 5 indexed citations

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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