Biao Shi

30 total papers · 872 total citations
27 papers, 691 citations indexed

About

Biao Shi is a scholar working on Molecular Biology, Cell Biology and Nutrition and Dietetics. According to data from OpenAlex, Biao Shi has authored 27 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Nutrition and Dietetics. Recurrent topics in Biao Shi's work include Heat shock proteins research (5 papers), Bee Products Chemical Analysis (5 papers) and Trace Elements in Health (5 papers). Biao Shi is often cited by papers focused on Heat shock proteins research (5 papers), Bee Products Chemical Analysis (5 papers) and Trace Elements in Health (5 papers). Biao Shi collaborates with scholars based in United States, China and Denmark. Biao Shi's co-authors include Alfred Haug, R. Rivkah Isseroff, H. Ti Tien, Yoshikazu Takada, Victor Alexandre Vitorello, Behnom Farboud, Estelle J. McGroarty, Mousumi Majumdar, Yasuko Kuwabara and Satoshi Yamaji and has published in prestigious journals such as Journal of Biological Chemistry, Environmental Health Perspectives and Journal of Neurochemistry.

In The Last Decade

Biao Shi

26 papers receiving 666 citations

Author Peers

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

Author Last Decade Papers Cites
Biao Shi 325 179 77 74 60 27 691
Victor Babich 481 1.5× 70 0.4× 42 0.5× 80 1.1× 45 0.8× 29 762
Mohammed Sharif 322 1.0× 74 0.4× 31 0.4× 37 0.5× 33 0.6× 19 759
T. Schenker 317 1.0× 55 0.3× 47 0.6× 71 1.0× 49 0.8× 22 763
Izabela Staniszewska 359 1.1× 153 0.9× 153 2.0× 18 0.2× 25 0.4× 31 791
Solenne Chardonnet 360 1.1× 64 0.4× 32 0.4× 73 1.0× 22 0.4× 26 645
Xuefeng Ding 283 0.9× 159 0.9× 28 0.4× 24 0.3× 18 0.3× 30 625
Jolanta Sroka 298 0.9× 48 0.3× 30 0.4× 31 0.4× 58 1.0× 40 559
Jaganathan Subramani 269 0.8× 35 0.2× 32 0.4× 99 1.3× 38 0.6× 28 672
Yoshiko Okamoto 306 0.9× 57 0.3× 26 0.3× 83 1.1× 18 0.3× 23 639
Flore Renaud 511 1.6× 71 0.4× 18 0.2× 63 0.9× 30 0.5× 28 737

Countries citing papers authored by Biao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Biao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Shi. A scholar is included among the top collaborators of Biao Shi 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 Biao Shi. Biao Shi 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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