Daishun Liu

77 total papers · 1.1k total citations
58 papers, 866 citations indexed

About

Daishun Liu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Daishun Liu has authored 58 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pulmonary and Respiratory Medicine, 26 papers in Molecular Biology and 16 papers in Epidemiology. Recurrent topics in Daishun Liu's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Respiratory viral infections research (9 papers) and Neonatal Respiratory Health Research (6 papers). Daishun Liu is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Respiratory viral infections research (9 papers) and Neonatal Respiratory Health Research (6 papers). Daishun Liu collaborates with scholars based in China, United States and Macao. Daishun Liu's co-authors include Fuqiang Wen, Tao Wang, Hongbo Tang, Peng Xie, Dan Xu, Yajuan Chen, Shangfu Zhang, Ling Gong, Ke Wang and Yulin Feng and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Daishun Liu

54 papers receiving 852 citations

Author Peers

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

Author						Papers	Cites
Daishun Liu	307	295	122	115	110	58	866
Shawn A. Milligan	205 0.7×	209 0.7×	137 1.1×	139 1.2×	174 1.6×	30	826
Mark J. Cowan	250 0.8×	262 0.9×	144 1.2×	205 1.8×	106 1.0×	34	849
Hong‐Long Ji	264 0.9×	404 1.4×	61 0.5×	68 0.6×	73 0.7×	52	830
Xing Wang	142 0.5×	416 1.4×	121 1.0×	119 1.0×	128 1.2×	58	881
Shuang Wu	185 0.6×	312 1.1×	85 0.7×	74 0.6×	44 0.4×	64	893
Tetsuo Shimizu	292 1.0×	318 1.1×	152 1.2×	80 0.7×	84 0.8×	95	964
Shusheng Wang	310 1.0×	297 1.0×	80 0.7×	150 1.3×	82 0.7×	61	1.1k
Yan Yin	295 1.0×	284 1.0×	101 0.8×	144 1.3×	144 1.3×	69	837
Wang Deng	277 0.9×	352 1.2×	150 1.2×	207 1.8×	82 0.7×	47	879
Diane Allen‐Gipson	226 0.7×	263 0.9×	60 0.5×	146 1.3×	119 1.1×	35	749

Countries citing papers authored by Daishun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Daishun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daishun Liu

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