Ying Gao

271 total papers · 5.3k total citations
191 papers, 3.5k citations indexed

About

Ying Gao is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ying Gao has authored 191 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Surgery, 47 papers in Endocrinology, Diabetes and Metabolism and 41 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ying Gao's work include Lipoproteins and Cardiovascular Health (48 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (36 papers) and Cancer, Lipids, and Metabolism (23 papers). Ying Gao is often cited by papers focused on Lipoproteins and Cardiovascular Health (48 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (36 papers) and Cancer, Lipids, and Metabolism (23 papers). Ying Gao collaborates with scholars based in China, United States and Canada. Ying Gao's co-authors include Na‐Qiong Wu, Cheng‐Gang Zhu, Yuan‐Lin Guo, Jian‐Jun Li, Ye‐Xuan Cao, Huiwen Zhang, Rui‐Xia Xu, Jing‐Lu Jin, Qian Dong and Jian‐Jun Li and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ying Gao

179 papers receiving 3.5k citations

Author Peers

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

Author Last Decade Papers Cites
Ying Gao 1.0k 814 752 665 534 191 3.5k
Michael M. Hoffmann 1.4k 1.4× 1.1k 1.3× 889 1.2× 553 0.8× 605 1.1× 143 4.5k
D.P. Mikhailidis 1.1k 1.1× 676 0.8× 1.1k 1.5× 1.0k 1.5× 268 0.5× 176 4.4k
Elisa Danese 582 0.6× 794 1.0× 375 0.5× 553 0.8× 496 0.9× 166 3.9k
Raul Cavalcante Maranhão 1.4k 1.4× 1.2k 1.4× 1.1k 1.4× 784 1.2× 816 1.5× 235 5.0k
H. Sinzinger 1.3k 1.3× 798 1.0× 660 0.9× 1.1k 1.6× 333 0.6× 421 5.2k
Rui‐Xing Yin 1.0k 1.0× 788 1.0× 804 1.1× 784 1.2× 346 0.6× 162 3.0k
Hui Peng 773 0.8× 1.4k 1.7× 308 0.4× 591 0.9× 375 0.7× 204 4.1k
Joachim Jankowski 721 0.7× 1.4k 1.7× 698 0.9× 875 1.3× 226 0.4× 166 5.1k
Marcus E. Kleber 1.1k 1.0× 986 1.2× 743 1.0× 1.2k 1.7× 295 0.6× 192 4.7k
Pankaj Shah 713 0.7× 1.2k 1.5× 803 1.1× 392 0.6× 417 0.8× 98 3.5k

Countries citing papers authored by Ying Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ying Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Gao

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