Biyi Su

29 total papers · 438 total citations
20 papers, 228 citations indexed

About

Biyi Su is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Biyi Su has authored 20 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 18 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Biyi Su's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (16 papers) and Infectious Diseases and Tuberculosis (3 papers). Biyi Su is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (16 papers) and Infectious Diseases and Tuberculosis (3 papers). Biyi Su collaborates with scholars based in China, United States and New Zealand. Biyi Su's co-authors include Yaoju Tan, Yu Pang, Xingshan Cai, Wei Shu, Huiwen Zheng, Yanlin Zhao, Jianxiong Liu, Yu Pang, Yufeng Wang and Zhiying Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Biyi Su

18 papers receiving 226 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Biyi Su 179 166 76 46 22 20 228
Elisa H. Ignatius 271 1.5× 209 1.3× 78 1.0× 44 1.0× 16 0.7× 14 322
David Rodríguez‐Temporal 119 0.7× 139 0.8× 65 0.9× 42 0.9× 37 1.7× 17 229
Carmen A. Molina-Torres 206 1.2× 199 1.2× 54 0.7× 74 1.6× 52 2.4× 25 318
Susana Poggi 217 1.2× 198 1.2× 131 1.7× 35 0.8× 5 0.2× 22 324
Montserrat Garrigó 241 1.3× 256 1.5× 86 1.1× 29 0.6× 52 2.4× 17 288
Deepshikha Verma 151 0.8× 126 0.8× 18 0.2× 48 1.0× 28 1.3× 27 253
Meeta Sadani 261 1.5× 236 1.4× 115 1.5× 46 1.0× 12 0.5× 13 295
Jianhao Wei 250 1.4× 228 1.4× 70 0.9× 79 1.7× 25 1.1× 16 320
Fátima Cristina Onofre Fandinho Montes 182 1.0× 176 1.1× 66 0.9× 30 0.7× 21 1.0× 19 267
Elena V. Kulagina 211 1.2× 185 1.1× 56 0.7× 139 3.0× 8 0.4× 19 314

Countries citing papers authored by Biyi Su

Since Specialization
Citations

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

Fields of papers citing papers by Biyi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biyi Su

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

All Works

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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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