Maogui Li

41 total papers · 482 total citations
37 papers, 306 citations indexed

About

Maogui Li is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Maogui Li has authored 37 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Neurology, 14 papers in Pulmonary and Respiratory Medicine and 8 papers in Epidemiology. Recurrent topics in Maogui Li's work include Intracranial Aneurysms: Treatment and Complications (23 papers), Cerebrovascular and Carotid Artery Diseases (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Maogui Li is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (23 papers), Cerebrovascular and Carotid Artery Diseases (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (9 papers). Maogui Li collaborates with scholars based in China, United States and Hong Kong. Maogui Li's co-authors include Shuo Wang, Jun Wu, Pengjun Jiang, Qingyuan Liu, Yong Cao, Xin Chen, Junhua Yang, Yanan Zhang, Bin Gao and Fan Yang and has published in prestigious journals such as Stroke, Scientific Reports and Journal of neurosurgery.

In The Last Decade

Maogui Li

34 papers receiving 303 citations

Author Peers

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

Author						Papers	Cites
Maogui Li	235	112	64	49	38	37	306
Vincenzo Andreone	166 0.7×	89 0.8×	74 1.2×	32 0.7×	64 1.7×	35	310
Emanuela Crobeddu	270 1.1×	90 0.8×	38 0.6×	34 0.7×	68 1.8×	26	351
Krzysztof Stachura	230 1.0×	128 1.1×	100 1.6×	30 0.6×	37 1.0×	39	356
Yanqiang Wang	95 0.4×	60 0.5×	40 0.6×	104 2.1×	31 0.8×	45	361
Taichi Ikedo	143 0.6×	77 0.7×	58 0.9×	105 2.1×	23 0.6×	36	354
Hirokazu Koseki	250 1.1×	88 0.8×	56 0.9×	48 1.0×	34 0.9×	26	335
Hyung Jun Kim	78 0.3×	62 0.6×	52 0.8×	65 1.3×	43 1.1×	29	303
Kampei Shimizu	265 1.1×	122 1.1×	52 0.8×	36 0.7×	30 0.8×	42	349
Zhiyong Shi	93 0.4×	91 0.8×	98 1.5×	85 1.7×	25 0.7×	39	303
Toshiyuki Fujinaka	165 0.7×	117 1.0×	22 0.3×	31 0.6×	55 1.4×	56	346

Countries citing papers authored by Maogui Li

Since Specialization

Citations

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

Fields of papers citing papers by Maogui Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maogui Li

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