Ling Gao

159 total papers · 2.9k total citations
85 papers, 1.7k citations indexed

About

Ling Gao is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Ling Gao has authored 85 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Surgery and 10 papers in Immunology. Recurrent topics in Ling Gao's work include Glycosylation and Glycoproteins Research (7 papers), RNA modifications and cancer (7 papers) and Transplantation: Methods and Outcomes (5 papers). Ling Gao is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), RNA modifications and cancer (7 papers) and Transplantation: Methods and Outcomes (5 papers). Ling Gao collaborates with scholars based in China, United States and Australia. Ling Gao's co-authors include Hua Cai, Karine Laude, Richard Siow, Giovanni E. Mann, Aleksandra Vlajnic, Xing Chen, Enrico Stefani, Karel Chalupský, Wei Lin and Julio Rosenstock and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Ling Gao

79 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
Ling Gao 637 215 188 180 160 85 1.7k
Beibei Xu 612 1.0× 139 0.6× 145 0.8× 187 1.0× 170 1.1× 66 1.5k
Xiaoming Zhou 669 1.1× 295 1.4× 182 1.0× 139 0.8× 166 1.0× 71 1.8k
Cristiana Caliceti 710 1.1× 162 0.8× 189 1.0× 114 0.6× 135 0.8× 54 1.6k
Bruno Baudin 643 1.0× 204 0.9× 204 1.1× 225 1.3× 167 1.0× 80 1.9k
Syamantak Majumder 815 1.3× 122 0.6× 245 1.3× 209 1.2× 182 1.1× 67 1.8k
Madhulika Dixit 905 1.4× 160 0.7× 309 1.6× 128 0.7× 171 1.1× 47 1.9k
Dong Kwon Yang 854 1.3× 147 0.7× 213 1.1× 121 0.7× 139 0.9× 87 1.8k
Shin‐ya Morita 729 1.1× 155 0.7× 179 1.0× 380 2.1× 142 0.9× 103 1.8k
N. Crawford 700 1.1× 105 0.5× 185 1.0× 180 1.0× 93 0.6× 75 1.5k
Litai Jin 997 1.6× 161 0.7× 166 0.9× 160 0.9× 154 1.0× 81 1.8k

Countries citing papers authored by Ling Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Gao

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