Bi Shi

111 total papers · 2.1k total citations
86 papers, 1.7k citations indexed

About

Bi Shi is a scholar working on Biomedical Engineering, Biomaterials and Inorganic Chemistry. According to data from OpenAlex, Bi Shi has authored 86 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 26 papers in Biomaterials and 16 papers in Inorganic Chemistry. Recurrent topics in Bi Shi's work include Lignin and Wood Chemistry (21 papers), Collagen: Extraction and Characterization (17 papers) and Radioactive element chemistry and processing (15 papers). Bi Shi is often cited by papers focused on Lignin and Wood Chemistry (21 papers), Collagen: Extraction and Characterization (17 papers) and Radioactive element chemistry and processing (15 papers). Bi Shi collaborates with scholars based in China, Spain and Hong Kong. Bi Shi's co-authors include Xuepin Liao, Zhicheng Jiang, Wei Luo, Joseph J. Richardson, Junling Guo, Gao Xiao, Yaping Wang, Jianfei Zhou, Xin Huang and Fan Tian and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Energy & Environmental Science.

In The Last Decade

Bi Shi

76 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Bi Shi 571 481 462 432 287 86 1.7k
Pakorn Opaprakasit 443 0.8× 594 1.2× 509 1.1× 231 0.5× 214 0.7× 111 1.7k
Huifang Wang 295 0.5× 402 0.8× 521 1.1× 316 0.7× 180 0.6× 71 1.4k
Rachele Castaldo 417 0.7× 339 0.7× 607 1.3× 154 0.4× 180 0.6× 76 1.7k
Zhenggang Wang 453 0.8× 406 0.8× 368 0.8× 112 0.3× 376 1.3× 68 2.1k
Wei Jiang 507 0.9× 438 0.9× 413 0.9× 122 0.3× 189 0.7× 98 1.8k
Jia Lei 247 0.4× 188 0.4× 647 1.4× 528 1.2× 182 0.6× 54 1.7k
R. Selvakumar 841 1.5× 647 1.3× 637 1.4× 189 0.4× 109 0.4× 105 2.3k
Xue Yang 408 0.7× 457 1.0× 507 1.1× 105 0.2× 253 0.9× 109 2.2k
Askwar Hilonga 488 0.9× 329 0.7× 844 1.8× 105 0.2× 134 0.5× 73 2.0k
D. Shanthana Lakshmi 250 0.4× 226 0.5× 266 0.6× 226 0.5× 259 0.9× 52 1.3k

Countries citing papers authored by Bi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Bi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bi Shi

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