Guodong Ma

54 total papers · 781 total citations
31 papers, 596 citations indexed

About

Guodong Ma is a scholar working on Epidemiology, Neurology and Molecular Biology. According to data from OpenAlex, Guodong Ma has authored 31 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 7 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Guodong Ma's work include Acute Ischemic Stroke Management (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Guodong Ma is often cited by papers focused on Acute Ischemic Stroke Management (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Guodong Ma collaborates with scholars based in China, United States and South Korea. Guodong Ma's co-authors include Linglei Kong, Guanhua Du, Yong Zhang, Ning Jiang, Bo Hai, Li Li Ji, Guizhong Zhang, Shusen Liu, Sen Zhang and Nannan Liu and has published in prestigious journals such as Free Radical Biology and Medicine, Molecules and Pharmacology & Therapeutics.

In The Last Decade

Guodong Ma

28 papers receiving 585 citations

Author Peers

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

Author						Papers	Cites
Guodong Ma	249	135	126	84	83	31	596
Bor‐Chih Cheng	215 0.9×	97 0.7×	157 1.2×	82 1.0×	41 0.5×	32	645
Kyeong-A Kim	298 1.2×	124 0.9×	89 0.7×	116 1.4×	45 0.5×	16	639
Tingting Huang	266 1.1×	128 0.9×	77 0.6×	75 0.9×	75 0.9×	30	653
Zhike Zhou	202 0.8×	98 0.7×	149 1.2×	48 0.6×	28 0.3×	36	666
Xingyong Chen	191 0.8×	141 1.0×	58 0.5×	99 1.2×	26 0.3×	27	593
Pengwei Zhuang	277 1.1×	183 1.4×	90 0.7×	62 0.7×	138 1.7×	39	695
Yun Zhao	188 0.8×	116 0.9×	71 0.6×	44 0.5×	56 0.7×	20	500
Fan Wu	304 1.2×	85 0.6×	111 0.9×	84 1.0×	87 1.0×	21	597
Shanshan Zhang	211 0.8×	102 0.8×	47 0.4×	74 0.9×	81 1.0×	40	585
Yuyou Huang	189 0.8×	198 1.5×	57 0.5×	101 1.2×	42 0.5×	35	550

Countries citing papers authored by Guodong Ma

Since Specialization

Citations

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

Fields of papers citing papers by Guodong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guodong Ma

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