Jing Gao

211 total papers · 6.3k total citations
170 papers, 5.0k citations indexed

About

Jing Gao is a scholar working on Molecular Biology, Complementary and alternative medicine and Physiology. According to data from OpenAlex, Jing Gao has authored 170 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 28 papers in Complementary and alternative medicine and 21 papers in Physiology. Recurrent topics in Jing Gao's work include Mitochondrial Function and Pathology (13 papers), Nanoplatforms for cancer theranostics (13 papers) and Cancer, Hypoxia, and Metabolism (12 papers). Jing Gao is often cited by papers focused on Mitochondrial Function and Pathology (13 papers), Nanoplatforms for cancer theranostics (13 papers) and Cancer, Hypoxia, and Metabolism (12 papers). Jing Gao collaborates with scholars based in China, United States and Hong Kong. Jing Gao's co-authors include Hong Wu, Xinhui Tang, Jie Chi, Qiu‐Yun Chen, Xu‐Guang Guo, Sang Hoon Lee, Ji Geng, Xin Liu, M. Luisa Iruela‐Arispe and Jiankang Liu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Jing Gao

162 papers receiving 4.9k citations

Author Peers

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

Author Last Decade Papers Cites
Jing Gao 2.0k 657 638 485 479 170 5.0k
Saikat Dewanjee 2.2k 1.1× 450 0.7× 603 0.9× 456 0.9× 822 1.7× 141 5.9k
Lili Ji 2.8k 1.4× 1.0k 1.5× 437 0.7× 287 0.6× 683 1.4× 264 7.4k
Devesh Tewari 1.8k 0.9× 447 0.7× 276 0.4× 411 0.8× 552 1.2× 116 5.3k
Gianfranco Pintus 2.7k 1.4× 358 0.5× 685 1.1× 416 0.9× 397 0.8× 159 7.1k
Imran Kazmi 2.4k 1.2× 445 0.7× 369 0.6× 493 1.0× 532 1.1× 295 6.2k
Venera Cardile 2.2k 1.1× 423 0.6× 347 0.5× 344 0.7× 1.0k 2.1× 216 6.3k
Dongming Xing 3.3k 1.7× 356 0.5× 751 1.2× 476 1.0× 556 1.2× 220 6.5k
Shams Tabrez 1.8k 0.9× 414 0.6× 283 0.4× 606 1.2× 569 1.2× 227 6.1k
Gholamreza Karimi 3.0k 1.5× 740 1.1× 879 1.4× 374 0.8× 1.3k 2.7× 293 8.4k
Kyoung Ah Kang 3.0k 1.5× 432 0.7× 292 0.5× 255 0.5× 724 1.5× 168 6.4k

Countries citing papers authored by Jing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Gao

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