Hai‐Bin Shi

305 total papers · 4.0k total citations
212 papers, 2.6k citations indexed

About

Hai‐Bin Shi is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Neurology. According to data from OpenAlex, Hai‐Bin Shi has authored 212 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Pulmonary and Respiratory Medicine, 84 papers in Epidemiology and 52 papers in Neurology. Recurrent topics in Hai‐Bin Shi's work include Acute Ischemic Stroke Management (70 papers), Cerebrovascular and Carotid Artery Diseases (54 papers) and Venous Thromboembolism Diagnosis and Management (31 papers). Hai‐Bin Shi is often cited by papers focused on Acute Ischemic Stroke Management (70 papers), Cerebrovascular and Carotid Artery Diseases (54 papers) and Venous Thromboembolism Diagnosis and Management (31 papers). Hai‐Bin Shi collaborates with scholars based in China, United States and Israel. Hai‐Bin Shi's co-authors include Sheng Liu, Xiao‐Quan Xu, Qing‐Quan Zu, Lin‐Bo Zhao, Shanshan Lu, Hao Hu, Zhenyu Jia, Chun‐Gao Zhou, Chen‐Jiang Wu and Yu‐Dong Zhang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hai‐Bin Shi

200 papers receiving 2.5k citations

Author Peers

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

Author Last Decade Papers Cites
Hai‐Bin Shi 776 772 668 488 409 212 2.6k
Kouji Masuda 602 0.8× 1.3k 1.7× 1.1k 1.7× 613 1.3× 1.2k 2.9× 143 4.0k
Motoomi Ohkawa 287 0.4× 907 1.2× 902 1.4× 337 0.7× 488 1.2× 138 2.4k
Riccardo Morganti 451 0.6× 567 0.7× 209 0.3× 437 0.9× 678 1.7× 228 2.5k
Hiroaki Hoshi 615 0.8× 1.1k 1.4× 1.5k 2.2× 256 0.5× 627 1.5× 254 3.5k
Alexander Muacevic 872 1.1× 2.2k 2.8× 835 1.3× 585 1.2× 932 2.3× 140 3.8k
Daniel Habermehl 589 0.8× 1.4k 1.8× 600 0.9× 267 0.5× 792 1.9× 115 3.0k
Shinichiro Wakisaka 613 0.8× 545 0.7× 215 0.3× 548 1.1× 294 0.7× 93 2.3k
Satoshi Terae 428 0.6× 521 0.7× 693 1.0× 840 1.7× 617 1.5× 122 2.7k
Jin Chul Paeng 420 0.5× 1.3k 1.6× 2.2k 3.3× 399 0.8× 910 2.2× 218 4.5k
Matteo Simonelli 344 0.4× 823 1.1× 384 0.6× 278 0.6× 231 0.6× 128 2.4k

Countries citing papers authored by Hai‐Bin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Bin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Bin Shi. 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 Hai‐Bin Shi. The network helps show where Hai‐Bin Shi may publish in the future.

Co-authorship network of co-authors of Hai‐Bin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Bin Shi. A scholar is included among the top collaborators of Hai‐Bin Shi 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 Hai‐Bin Shi. Hai‐Bin Shi 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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