Jin Zhou

89 total papers · 1.5k total citations
45 papers, 847 citations indexed

About

Jin Zhou is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jin Zhou has authored 45 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jin Zhou's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Tyrosine Phosphatases (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Jin Zhou is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Tyrosine Phosphatases (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Jin Zhou collaborates with scholars based in China, United States and Czechia. Jin Zhou's co-authors include Gernot Walter, Huong T. Pham, Ralf Ruediger, John J. Voorhees, Gary J. Fisher, Yiru Xu, Feng Luo, Zhixi Li, Yuan Shao and Yanyang Liu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Jin Zhou

42 papers receiving 839 citations

Author Peers

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

Author						Papers	Cites
Jin Zhou	465	211	182	121	93	45	847
Anitha Shenoy	543 1.2×	276 1.3×	198 1.1×	102 0.8×	92 1.0×	44	941
Zhenhua Lin	438 0.9×	215 1.0×	179 1.0×	102 0.8×	104 1.1×	55	795
Giorgia Mandili	481 1.0×	201 1.0×	144 0.8×	95 0.8×	105 1.1×	41	983
Xiaocong Pang	503 1.1×	166 0.8×	227 1.2×	149 1.2×	111 1.2×	44	856
Bingyi Lin	452 1.0×	190 0.9×	180 1.0×	166 1.4×	126 1.4×	48	897
Liwei Lang	557 1.2×	171 0.8×	201 1.1×	80 0.7×	116 1.2×	52	925
Guojin Huang	421 0.9×	191 0.9×	167 0.9×	146 1.2×	76 0.8×	43	892
Ting Huang	412 0.9×	176 0.8×	253 1.4×	131 1.1×	122 1.3×	40	874
Jianchao Zhang	403 0.9×	282 1.3×	171 0.9×	78 0.6×	132 1.4×	48	974
Fei Yue	642 1.4×	227 1.1×	137 0.8×	103 0.9×	114 1.2×	32	965

Countries citing papers authored by Jin Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Jin Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Zhou

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