Jingli Gao

42 total papers · 3.1k total citations
22 papers, 589 citations indexed

About

Jingli Gao is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Nephrology. According to data from OpenAlex, Jingli Gao has authored 22 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Cardiology and Cardiovascular Medicine and 4 papers in Nephrology. Recurrent topics in Jingli Gao's work include Liver Disease Diagnosis and Treatment (5 papers), Blood Pressure and Hypertension Studies (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Jingli Gao is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Blood Pressure and Hypertension Studies (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Jingli Gao collaborates with scholars based in China, United States and Australia. Jingli Gao's co-authors include Shouling Wu, Shuohua Chen, Xiaolan Li, Qiong Wu, Zongxue Cheng, Yimin Zhu, Ziqi Jin, Xuhui Zhang, Yaohan Zhou and Di He and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.

In The Last Decade

Jingli Gao

20 papers receiving 582 citations

Hit Papers

The Associations of Two N... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Jingli Gao 195 168 97 93 81 22 589
Ya Zhang 205 1.1× 107 0.6× 42 0.4× 85 0.9× 150 1.9× 36 667
A Guariglia 119 0.6× 101 0.6× 57 0.6× 69 0.7× 94 1.2× 30 560
Jung‐Hyun Lee 293 1.5× 218 1.3× 67 0.7× 114 1.2× 44 0.5× 21 569
Gisela Weihrauch 224 1.1× 221 1.3× 92 0.9× 32 0.3× 126 1.6× 14 594
Shuli He 147 0.8× 64 0.4× 75 0.8× 54 0.6× 144 1.8× 32 677
Anne Langkilde 127 0.7× 96 0.6× 41 0.4× 51 0.5× 75 0.9× 19 591
Fabio Pannozzo 73 0.4× 248 1.5× 31 0.3× 73 0.8× 56 0.7× 16 520
Haïfa Maalmi 116 0.6× 57 0.3× 30 0.3× 114 1.2× 139 1.7× 34 697
Niina Siitonen 187 1.0× 170 1.0× 59 0.6× 22 0.2× 181 2.2× 13 630
Li-Fen Lu 170 0.9× 170 1.0× 109 1.1× 30 0.3× 124 1.5× 19 497

Countries citing papers authored by Jingli Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jingli Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingli Gao

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