Shuo Gao

30 total papers · 748 total citations
19 papers, 545 citations indexed

About

Shuo Gao is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Shuo Gao has authored 19 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Genetics. Recurrent topics in Shuo Gao's work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Shuo Gao is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Shuo Gao collaborates with scholars based in China, United States and Hong Kong. Shuo Gao's co-authors include Ruihua Huang, Sung Woo Kim, Xiang Ma, Huizhi Li, Bo Zhou, Wangjun Wu, Qing Niu, Pinghua Li, Qian Liu and Xian‐En Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Affective Disorders.

In The Last Decade

Shuo Gao

18 papers receiving 535 citations

Author Peers

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

Author						Papers	Cites
Shuo Gao	340	107	83	77	75	19	545
Zhenya Zhai	320 0.9×	60 0.6×	68 0.8×	15 0.2×	71 0.9×	28	583
Anna Marco‐Ramell	276 0.8×	118 1.1×	13 0.2×	20 0.3×	44 0.6×	15	536
Donald E. Stevenson	142 0.4×	85 0.8×	37 0.4×	15 0.2×	33 0.4×	18	568
Aldo Segura‐Cabrera	217 0.6×	21 0.2×	26 0.3×	40 0.5×	46 0.6×	35	504
Fatima Chegdani	231 0.7×	68 0.6×	109 1.3×	8 0.1×	74 1.0×	33	456
Xianyong Ma	184 0.5×	182 1.7×	83 1.0×	7 0.1×	35 0.5×	28	531
Qichun Huang	121 0.4×	165 1.5×	45 0.5×	30 0.4×	10 0.1×	12	488
R. Baelmans	58 0.2×	88 0.8×	33 0.4×	16 0.2×	22 0.3×	18	476
Lawrence Segal	150 0.4×	30 0.3×	34 0.4×	15 0.2×	24 0.3×	30	590
Donna West	181 0.5×	21 0.2×	15 0.2×	18 0.2×	45 0.6×	20	610

Countries citing papers authored by Shuo Gao

Since Specialization

Citations

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

Fields of papers citing papers by Shuo Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Gao

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