Bian Zhao

23 total papers · 1.9k total citations
12 papers, 1.6k citations indexed

About

Bian Zhao is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Bian Zhao has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Genetics. Recurrent topics in Bian Zhao's work include Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). Bian Zhao is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). Bian Zhao collaborates with scholars based in Sweden, United States and China. Bian Zhao's co-authors include Staffan Normark, Anna Arnqvist, Arne Olsén, Walter Sierralta, Ute Römling, Mårten Hammar, Annelie Brauner, Yinghua Li, Zhong-qun Yan and Peter Thorén and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Journal of Bacteriology.

In The Last Decade

Bian Zhao

12 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Bian Zhao 950 575 466 410 315 12 1.6k
Michelle M. Barnhart 1.0k 1.1× 396 0.7× 306 0.7× 164 0.4× 209 0.7× 9 1.5k
Xhavit Zogaj 1.1k 1.1× 521 0.9× 327 0.7× 303 0.7× 313 1.0× 15 1.8k
Mårten Hammar 1.2k 1.3× 303 0.5× 346 0.7× 253 0.6× 208 0.7× 10 1.9k
Jessica A. Thompson 1.3k 1.4× 451 0.8× 472 1.0× 399 1.0× 249 0.8× 17 2.0k
Don L. Tucker 747 0.8× 328 0.6× 476 1.0× 256 0.6× 189 0.6× 15 1.3k
Hervé Le Moual 1.0k 1.1× 434 0.8× 594 1.3× 321 0.8× 185 0.6× 36 2.0k
Lloyd S. Robinson 1.2k 1.3× 238 0.4× 319 0.7× 211 0.5× 181 0.6× 23 1.9k
Alline R. Pacheco 688 0.7× 374 0.7× 225 0.5× 345 0.8× 99 0.3× 14 1.4k
Guillaume Soubigou 1.0k 1.1× 180 0.3× 284 0.6× 328 0.8× 197 0.6× 20 1.7k
Pavel Metalnikov 1.1k 1.2× 696 1.2× 346 0.7× 187 0.5× 72 0.2× 19 2.2k

Countries citing papers authored by Bian Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Bian Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bian Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Bian Zhao. A scholar is included among the top collaborators of Bian Zhao 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 Bian Zhao. Bian Zhao 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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2026