Daiquan Gao

52 total papers · 659 total citations
33 papers, 425 citations indexed

About

Daiquan Gao is a scholar working on Epidemiology, Neurology and Emergency Medicine. According to data from OpenAlex, Daiquan Gao has authored 33 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 13 papers in Neurology and 6 papers in Emergency Medicine. Recurrent topics in Daiquan Gao's work include Acute Ischemic Stroke Management (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (5 papers). Daiquan Gao is often cited by papers focused on Acute Ischemic Stroke Management (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Intracerebral and Subarachnoid Hemorrhage Research (5 papers). Daiquan Gao collaborates with scholars based in China, United States and Singapore. Daiquan Gao's co-authors include Yingying Su, Weibi Chen, Yunzhou Zhang, Hong Ye, Gang Liu, Ran Gao, Jingwei Zhao, Yan Zhang, Lin Wang and Linlin Fan and has published in prestigious journals such as Stroke, Brain Research and Medicine.

In The Last Decade

Daiquan Gao

30 papers receiving 415 citations

Author Peers

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

Author Last Decade Papers Cites
Daiquan Gao 185 173 88 58 57 33 425
F Artru 135 0.7× 279 1.6× 86 1.0× 43 0.7× 34 0.6× 38 479
Amery Treble‐Barna 257 1.4× 113 0.7× 143 1.6× 46 0.8× 73 1.3× 38 480
Kerri L. LaRovere 136 0.7× 236 1.4× 137 1.6× 73 1.3× 28 0.5× 36 428
Pravin George 119 0.6× 194 1.1× 27 0.3× 75 1.3× 26 0.5× 53 471
Andrew P. Lapointe 203 1.1× 88 0.5× 79 0.9× 30 0.5× 45 0.8× 37 387
Kimberly Meyer 139 0.8× 183 1.1× 102 1.2× 25 0.4× 34 0.6× 31 392
Masataka Gunshin 188 1.0× 130 0.8× 198 2.3× 49 0.8× 27 0.5× 27 485
Nicholas Hirsch 68 0.4× 129 0.7× 30 0.3× 84 1.4× 32 0.6× 36 414
Marinella Marinoni 93 0.5× 151 0.9× 56 0.6× 132 2.3× 38 0.7× 21 384
Christopher P. Carroll 110 0.6× 215 1.2× 127 1.4× 64 1.1× 42 0.7× 28 494

Countries citing papers authored by Daiquan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Daiquan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiquan Gao

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