Xiaoli Gao

90 total papers · 1.7k total citations
50 papers, 1.3k citations indexed

About

Xiaoli Gao is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Xiaoli Gao has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Pharmacology and 6 papers in Genetics. Recurrent topics in Xiaoli Gao's work include Pharmacological Effects of Natural Compounds (6 papers), Estrogen and related hormone effects (5 papers) and Pomegranate: compositions and health benefits (5 papers). Xiaoli Gao is often cited by papers focused on Pharmacological Effects of Natural Compounds (6 papers), Estrogen and related hormone effects (5 papers) and Pomegranate: compositions and health benefits (5 papers). Xiaoli Gao collaborates with scholars based in China, United States and Netherlands. Xiaoli Gao's co-authors include Susan T. Weintraub, Dustin P. Green, Kenneth Hargreaves, Shivani Ruparel, Lora Talley Watts, Wei Zhang, Ai-Ling Lin, Richard Smith, Mina Homayoonfal and Thomas Metz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Xiaoli Gao

47 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoli Gao 571 240 213 123 117 50 1.3k
G. Vallette 509 0.9× 215 0.9× 150 0.7× 82 0.7× 31 0.3× 57 1.3k
Alexandra C. Kendall 409 0.7× 211 0.9× 263 1.2× 86 0.7× 49 0.4× 43 1.5k
C. Benassayag 464 0.8× 174 0.7× 127 0.6× 91 0.7× 42 0.4× 63 1.7k
Lili Gong 685 1.2× 124 0.5× 148 0.7× 199 1.6× 47 0.4× 86 1.6k
K.I. Williams 407 0.7× 275 1.1× 195 0.9× 87 0.7× 77 0.7× 89 1.8k
Ira Rosenblum 498 0.9× 102 0.4× 110 0.5× 54 0.4× 39 0.3× 76 1.7k
Jiahong Sun 652 1.1× 170 0.7× 122 0.6× 125 1.0× 31 0.3× 54 1.4k
Alice Habermeier 497 0.9× 727 3.0× 243 1.1× 112 0.9× 34 0.3× 32 1.8k
Carlos A. Barrero 596 1.0× 276 1.1× 186 0.9× 209 1.7× 47 0.4× 49 1.4k
René Frenkel 628 1.1× 238 1.0× 51 0.2× 112 0.9× 34 0.3× 47 1.2k

Countries citing papers authored by Xiaoli Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Gao. A scholar is included among the top collaborators of Xiaoli 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 Xiaoli Gao. Xiaoli 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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2026