Tuo Shi

29 total papers · 430 total citations
21 papers, 299 citations indexed

About

Tuo Shi is a scholar working on Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Environmental Engineering. According to data from OpenAlex, Tuo Shi has authored 21 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 6 papers in Electrical and Electronic Engineering and 5 papers in Environmental Engineering. Recurrent topics in Tuo Shi's work include Air Quality and Health Impacts (6 papers), Advanced Memory and Neural Computing (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Tuo Shi is often cited by papers focused on Air Quality and Health Impacts (6 papers), Advanced Memory and Neural Computing (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Tuo Shi collaborates with scholars based in China, United States and Canada. Tuo Shi's co-authors include Yuanman Hu, Chunlin Li, Miao Liu, Chuyi Zhang, Qi Liu, Zuheng Wu, Chong Liu, He Liu, Ruhua Zha and He Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and The Science of The Total Environment.

In The Last Decade

Tuo Shi

20 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Tuo Shi	97	95	68	48	46	21	299
Ziyue Yu	30 0.3×	18 0.2×	33 0.5×	22 0.5×	48 1.0×	33	275
Yuqi Zhu	74 0.8×	18 0.2×	23 0.3×	20 0.4×	107 2.3×	36	330
Puguang Peng	143 1.5×	63 0.7×	20 0.3×	43 0.9×	50 1.1×	25	366
Tianzhen Ju	67 0.7×	59 0.6×	34 0.5×	45 0.9×	46 1.0×	28	220
Han Li	63 0.6×	57 0.6×	166 2.4×	29 0.6×	12 0.3×	21	285
Haitao Xu	32 0.3×	34 0.4×	21 0.3×	15 0.3×	40 0.9×	33	283
Bohao Li	47 0.5×	62 0.7×	23 0.3×	19 0.4×	86 1.9×	29	354
Azni Zain Ahmed	138 1.4×	65 0.7×	101 1.5×	10 0.2×	154 3.3×	31	350
Jianyue Wang	108 1.1×	31 0.3×	12 0.2×	30 0.6×	113 2.5×	27	361
Juan Zhou	24 0.2×	60 0.6×	16 0.2×	19 0.4×	72 1.6×	18	323

Countries citing papers authored by Tuo Shi

Since Specialization

Citations

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

Fields of papers citing papers by Tuo Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuo Shi

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