Chaoliang Lv

37 total papers · 522 total citations
27 papers, 358 citations indexed

About

Chaoliang Lv is a scholar working on Pathology and Forensic Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Chaoliang Lv has authored 27 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 13 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Chaoliang Lv's work include Spine and Intervertebral Disc Pathology (11 papers), Spinal Cord Injury Research (7 papers) and Musculoskeletal pain and rehabilitation (6 papers). Chaoliang Lv is often cited by papers focused on Spine and Intervertebral Disc Pathology (11 papers), Spinal Cord Injury Research (7 papers) and Musculoskeletal pain and rehabilitation (6 papers). Chaoliang Lv collaborates with scholars based in China and United States. Chaoliang Lv's co-authors include Kai Gao, Tao Zhang, Lin Sun, Yueming Song, Kang Li, Yueming Song, Fang Wang, Lin Yu, Xi Yang and Kang Li and has published in prestigious journals such as Brain Research, Frontiers in Immunology and Neuroscience Letters.

In The Last Decade

Chaoliang Lv

26 papers receiving 349 citations

Author Peers

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

Author						Papers	Cites
Chaoliang Lv	190	149	107	78	45	27	358
Dingkun Lin	122 0.6×	90 0.6×	83 0.8×	121 1.6×	25 0.6×	24	390
Kazuyoshi Yamazaki	157 0.8×	112 0.8×	75 0.7×	77 1.0×	48 1.1×	28	381
Sujun Qiu	152 0.8×	111 0.7×	87 0.8×	92 1.2×	29 0.6×	25	385
Xinjia Wang	111 0.6×	95 0.6×	44 0.4×	97 1.2×	34 0.8×	37	402
Xiaopeng Xia	188 1.0×	164 1.1×	67 0.6×	46 0.6×	20 0.4×	22	300
Wei Wang	122 0.6×	156 1.0×	30 0.3×	123 1.6×	23 0.5×	28	397
M. Winking	85 0.4×	93 0.6×	108 1.0×	115 1.5×	26 0.6×	32	358
Jiansheng Zhou	105 0.6×	87 0.6×	32 0.3×	77 1.0×	28 0.6×	26	301
Ran Wang	122 0.6×	43 0.3×	36 0.3×	98 1.3×	50 1.1×	22	360
Xiangyang Wang	149 0.8×	133 0.9×	91 0.9×	74 0.9×	8 0.2×	37	371

Countries citing papers authored by Chaoliang Lv

Since Specialization

Citations

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

Fields of papers citing papers by Chaoliang Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoliang Lv

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