Yan Zhong

61 total papers · 962 total citations
35 papers, 688 citations indexed

About

Yan Zhong is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yan Zhong has authored 35 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 8 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yan Zhong's work include Cancer-related molecular mechanisms research (4 papers), Adrenal and Paraganglionic Tumors (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Yan Zhong is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Adrenal and Paraganglionic Tumors (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Yan Zhong collaborates with scholars based in China, United States and Australia. Yan Zhong's co-authors include Stefan Seewald, Gary D. Slade, Steven Offenbacher, Salem Omar, James D. Beck, Uwe Seitz, N. Soehendra, Frank Thonke, Stefan Groth and Hiroo Imazu and has published in prestigious journals such as Scientific Reports, Journal of Pharmacology and Experimental Therapeutics and Journal Of Clinical Periodontology.

In The Last Decade

Yan Zhong

32 papers receiving 671 citations

Author Peers

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

Author						Papers	Cites
Yan Zhong	283	152	133	122	108	35	688
Jianhua Zhou	256 0.9×	283 1.9×	168 1.3×	50 0.4×	95 0.9×	32	597
Lili Wu	294 1.0×	186 1.2×	170 1.3×	34 0.3×	112 1.0×	46	689
Liang‐Che Chang	230 0.8×	245 1.6×	178 1.3×	22 0.2×	113 1.0×	58	730
B. Soudah	221 0.8×	83 0.5×	207 1.6×	81 0.7×	87 0.8×	32	579
Kalyani R. Patel	242 0.9×	78 0.5×	111 0.8×	99 0.8×	162 1.5×	57	589
Selda Seçkın	342 1.2×	164 1.1×	278 2.1×	18 0.1×	140 1.3×	58	741
Brian K. Chung	148 0.5×	104 0.7×	60 0.5×	175 1.4×	144 1.3×	31	764
Ho-Kyung Chun	218 0.8×	127 0.8×	115 0.9×	37 0.3×	228 2.1×	31	555
Chung-Bao Hsieh	261 0.9×	158 1.0×	110 0.8×	290 2.4×	121 1.1×	52	685
Maurizio Romano	341 1.2×	114 0.8×	210 1.6×	97 0.8×	175 1.6×	47	751

Countries citing papers authored by Yan Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Yan Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Zhong

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