Shuliang Gao

12 total papers · 628 total citations
8 papers, 498 citations indexed

About

Shuliang Gao is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Shuliang Gao has authored 8 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Biomedical Engineering and 1 paper in Genetics. Recurrent topics in Shuliang Gao's work include Microbial Metabolic Engineering and Bioproduction (5 papers), RNA and protein synthesis mechanisms (3 papers) and Plant biochemistry and biosynthesis (2 papers). Shuliang Gao is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), RNA and protein synthesis mechanisms (3 papers) and Plant biochemistry and biosynthesis (2 papers). Shuliang Gao collaborates with scholars based in China, United States and United Kingdom. Shuliang Gao's co-authors include Yu Jiang, Sheng Yang, Mei Ge, Li Zhu, Daijie Chen, Yangyang Tong, Yian Zhang, Zhiqiang Wen, Linna Han and Rodrigo Ledesma‐Amaro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Catalysis B: Environmental and Biotechnology and Bioengineering.

In The Last Decade

Shuliang Gao

7 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Shuliang Gao	470	125	44	28	22	8	498
Claire M. Palmer	508 1.1×	212 1.7×	12 0.3×	48 1.7×	71 3.2×	11	574
Jean-Paul Meijnen	516 1.1×	213 1.7×	48 1.1×	74 2.6×	43 2.0×	9	573
Fabian Bumbak	394 0.8×	114 0.9×	187 4.3×	65 2.3×	8 0.4×	12	590
Leo d’Espaux	550 1.2×	138 1.1×	20 0.5×	70 2.5×	157 7.1×	8	598
Amanda Reider Apel	468 1.0×	208 1.7×	12 0.3×	61 2.2×	80 3.6×	7	513
Quinn Zhu	515 1.1×	234 1.9×	63 1.4×	14 0.5×	19 0.9×	8	579
E. Battat	469 1.0×	246 2.0×	29 0.7×	56 2.0×	26 1.2×	14	545
Zhenquan Lin	558 1.2×	126 1.0×	25 0.6×	34 1.2×	44 2.0×	13	614
Anu Mursula	432 0.9×	52 0.4×	12 0.3×	27 1.0×	22 1.0×	10	510
Sarah K. Hammer	389 0.8×	203 1.6×	14 0.3×	46 1.6×	38 1.7×	12	468

Countries citing papers authored by Shuliang Gao

Since Specialization

Citations

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

Fields of papers citing papers by Shuliang Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuliang Gao

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