Hang Zhou

61 total papers · 1.3k total citations
40 papers, 786 citations indexed

About

Hang Zhou is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Hang Zhou has authored 40 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Pathology and Forensic Medicine and 6 papers in Surgery. Recurrent topics in Hang Zhou's work include Spine and Intervertebral Disc Pathology (5 papers), Cancer-related molecular mechanisms research (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Hang Zhou is often cited by papers focused on Spine and Intervertebral Disc Pathology (5 papers), Cancer-related molecular mechanisms research (4 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Hang Zhou collaborates with scholars based in China, United States and Hong Kong. Hang Zhou's co-authors include Peiqiang Su, Bo Gao, Caixia Xu, Xianjian Qiu, Dongsheng Huang, Anjing Liang, Yan Peng, Zizhao Wu, Chengjie Lian and Xiaoming Yang and has published in prestigious journals such as Cell Death and Differentiation, Cellular and Molecular Life Sciences and Experimental Cell Research.

In The Last Decade

Hang Zhou

38 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
Hang Zhou	315	165	103	103	92	40	786
Youn‐Kwan Jung	323 1.0×	187 1.1×	55 0.5×	91 0.9×	63 0.7×	37	686
Don A. M. Surtel	355 1.1×	219 1.3×	153 1.5×	118 1.1×	39 0.4×	30	756
Hyon J. Kim	459 1.5×	99 0.6×	128 1.2×	66 0.6×	145 1.6×	33	818
M. Bellocci	255 0.8×	80 0.5×	143 1.4×	41 0.4×	101 1.1×	38	775
Hasan Bağcı	310 1.0×	71 0.4×	57 0.6×	54 0.5×	91 1.0×	42	668
Takeshi Fujita	322 1.0×	65 0.4×	77 0.7×	98 1.0×	50 0.5×	43	721
N. P. Piesco	376 1.2×	198 1.2×	61 0.6×	120 1.2×	72 0.8×	22	873
Frank M. Riemers	296 0.9×	134 0.8×	123 1.2×	56 0.5×	63 0.7×	38	744
Karim J. Brandt	348 1.1×	124 0.8×	78 0.8×	61 0.6×	35 0.4×	33	855
T Ikeuchi	291 0.9×	70 0.4×	53 0.5×	134 1.3×	82 0.9×	31	858

Countries citing papers authored by Hang Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Hang Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Zhou

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