Jialin Gao

116 total papers · 1.3k total citations
67 papers, 889 citations indexed

About

Jialin Gao is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Jialin Gao has authored 67 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Epidemiology and 12 papers in Surgery. Recurrent topics in Jialin Gao's work include Autophagy in Disease and Therapy (14 papers), Calcium signaling and nucleotide metabolism (11 papers) and Pancreatic function and diabetes (6 papers). Jialin Gao is often cited by papers focused on Autophagy in Disease and Therapy (14 papers), Calcium signaling and nucleotide metabolism (11 papers) and Pancreatic function and diabetes (6 papers). Jialin Gao collaborates with scholars based in China, United States and Macao. Jialin Gao's co-authors include Huiwen Zhang, Chun Pu, Yuantao Wang, Gang Feng, Yao Zhang, Yaowen Fu, Yu‐Bin Dong, Jie Feng, Jing Gu and Yongrui Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemistry of Materials.

In The Last Decade

Jialin Gao

62 papers receiving 879 citations

Author Peers

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

Author						Papers	Cites
Jialin Gao	297	146	110	108	89	67	889
Jordan R. Yaron	349 1.2×	98 0.7×	76 0.7×	144 1.3×	32 0.4×	52	943
Yingying Zhou	428 1.4×	116 0.8×	37 0.3×	87 0.8×	75 0.8×	42	847
Matthew G. Rees	378 1.3×	103 0.7×	41 0.4×	144 1.3×	108 1.2×	37	770
Chao Song	381 1.3×	117 0.8×	45 0.4×	69 0.6×	20 0.2×	72	987
Yue Cao	247 0.8×	61 0.4×	61 0.6×	201 1.9×	164 1.8×	44	928
Milica Labudović‐Borović	212 0.7×	107 0.7×	46 0.4×	96 0.9×	87 1.0×	67	725
Emma J. Parkinson-Lawrence	385 1.3×	207 1.4×	29 0.3×	71 0.7×	35 0.4×	44	1.0k
José Javier Martı́n de Llano	231 0.8×	124 0.8×	45 0.4×	187 1.7×	44 0.5×	49	936
Feng Li	227 0.8×	157 1.1×	55 0.5×	226 2.1×	94 1.1×	72	1.0k
János Hunyadi	197 0.7×	108 0.7×	100 0.9×	84 0.8×	15 0.2×	53	1.0k

Countries citing papers authored by Jialin Gao

Since Specialization

Citations

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

Fields of papers citing papers by Jialin Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialin Gao

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