Zhan Liu

67 total papers · 1.6k total citations
34 papers, 1.1k citations indexed

About

Zhan Liu is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Zhan Liu has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Surgery and 6 papers in Neurology. Recurrent topics in Zhan Liu's work include Spine and Intervertebral Disc Pathology (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (2 papers). Zhan Liu is often cited by papers focused on Spine and Intervertebral Disc Pathology (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (2 papers). Zhan Liu collaborates with scholars based in China, United States and Grenada. Zhan Liu's co-authors include Marianna Max, Robert F. Margolskee, Lenore Snyder, Peihua Jiang, Joe Lutkenhaus, Amit Mukherjee, Baohua Zhao, Meng Cui, Roman Osman and Chao You and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Blood.

In The Last Decade

Zhan Liu

32 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Zhan Liu	515	383	356	283	218	34	1.1k
Masahiro Nagasawa	546 1.1×	599 1.6×	413 1.2×	154 0.5×	207 0.9×	28	1.3k
Julie Affleck	604 1.2×	222 0.6×	386 1.1×	101 0.4×	287 1.3×	16	1.2k
Rajinder P. Bhullar	629 1.2×	420 1.1×	740 2.1×	334 1.2×	76 0.3×	53	1.3k
Jesse Peterson	161 0.3×	326 0.9×	238 0.7×	100 0.4×	64 0.3×	19	1.1k
Ting Zhou	160 0.3×	212 0.6×	614 1.7×	215 0.8×	215 1.0×	42	1.3k
Kuo‐Shyan Lu	208 0.4×	166 0.4×	354 1.0×	187 0.7×	120 0.6×	50	926
Konsta Duesing	286 0.6×	188 0.5×	607 1.7×	139 0.5×	69 0.3×	28	1.2k
Eiji Nakamura	232 0.5×	104 0.3×	248 0.7×	65 0.2×	220 1.0×	70	935
Yuki Katanosaka	151 0.3×	615 1.6×	711 2.0×	68 0.2×	121 0.6×	30	1.3k
P. Richard Grimm	407 0.8×	93 0.2×	1.0k 2.9×	75 0.3×	72 0.3×	42	1.4k

Countries citing papers authored by Zhan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Zhan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhan Liu

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