Guan-Qi Gao

46 total papers · 1.1k total citations
26 papers, 445 citations indexed

About

Guan-Qi Gao is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Guan-Qi Gao has authored 26 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 12 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Immunology. Recurrent topics in Guan-Qi Gao's work include Diabetes and associated disorders (11 papers), Thyroid Disorders and Treatments (6 papers) and Diabetes Management and Research (4 papers). Guan-Qi Gao is often cited by papers focused on Diabetes and associated disorders (11 papers), Thyroid Disorders and Treatments (6 papers) and Diabetes Management and Research (4 papers). Guan-Qi Gao collaborates with scholars based in China, United States and Czechia. Guan-Qi Gao's co-authors include Huai‐Dong Song, Qingyu Dong, Yangang Wang, Wenhua Du, Jiajun Zhao, Jun Liang, Shuang‐Xia Zhao, Yuxin Xu, Lei Sun and Chun‐Ming Pan and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Guan-Qi Gao

25 papers receiving 439 citations

Author Peers

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

Author Last Decade Papers Cites
Guan-Qi Gao 215 159 134 94 84 26 445
H J Peter 262 1.2× 127 0.8× 91 0.7× 66 0.7× 25 0.3× 18 429
Maria Kalina 112 0.5× 173 1.1× 89 0.7× 37 0.4× 38 0.5× 26 368
Dandan Wang 167 0.8× 164 1.0× 40 0.3× 150 1.6× 48 0.6× 26 474
Zhaoshun Jiang 116 0.5× 128 0.8× 101 0.8× 161 1.7× 63 0.8× 32 425
S. P. Bidey 322 1.5× 173 1.1× 89 0.7× 32 0.3× 53 0.6× 27 494
Alexandra Efthymiadou 127 0.6× 119 0.7× 106 0.8× 38 0.4× 24 0.3× 26 482
Maiko Hajime 98 0.5× 86 0.5× 49 0.4× 77 0.8× 143 1.7× 20 375
Maria Ginalska-Malinowska 196 0.9× 190 1.2× 85 0.6× 109 1.2× 21 0.3× 16 438
Gerold Huber 251 1.2× 109 0.7× 100 0.7× 35 0.4× 49 0.6× 17 450
Sylwia Słuczanowska-Głąbowska 73 0.3× 139 0.9× 55 0.4× 39 0.4× 110 1.3× 36 470

Countries citing papers authored by Guan-Qi Gao

Since Specialization
Citations

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

Fields of papers citing papers by Guan-Qi Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guan-Qi Gao

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