Chao Tan

28 total papers · 602 total citations
15 papers, 372 citations indexed

About

Chao Tan is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chao Tan has authored 15 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chao Tan's work include Barrier Structure and Function Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and CRISPR and Genetic Engineering (2 papers). Chao Tan is often cited by papers focused on Barrier Structure and Function Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and CRISPR and Genetic Engineering (2 papers). Chao Tan collaborates with scholars based in China, United States and Japan. Chao Tan's co-authors include Feng Han, Chengkun Wang, Ying‐Mei Lu, Nannan Lu, Kohji Fukunaga, Quan Jiang, Rongrong Tao, Pascal S. Kaeser, Christopher S. Wilcox and Muhammad Masood Ahmed and has published in prestigious journals such as Neuron, Journal of Neuroscience and Chemical Communications.

In The Last Decade

Chao Tan

15 papers receiving 370 citations

Author Peers

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

Author						Papers	Cites
Chao Tan	167	105	89	42	34	15	372
G. Goping	212 1.3×	97 0.9×	94 1.1×	46 1.1×	19 0.6×	15	398
Krzysztof Kucharz	187 1.1×	107 1.0×	66 0.7×	62 1.5×	39 1.1×	14	376
Ivó H. Hernández	243 1.5×	66 0.6×	102 1.1×	26 0.6×	21 0.6×	15	366
Josephine Labus	158 0.9×	73 0.7×	138 1.6×	51 1.2×	20 0.6×	15	391
Frisca Frisca	149 0.9×	59 0.6×	113 1.3×	55 1.3×	23 0.7×	14	339
Angela M. Brennan‐Minnella	215 1.3×	87 0.8×	132 1.5×	19 0.5×	27 0.8×	9	377
Claudio Di Sanza	205 1.2×	113 1.1×	78 0.9×	23 0.5×	33 1.0×	12	408
Furong Ju	119 0.7×	151 1.4×	81 0.9×	20 0.5×	44 1.3×	21	377
Xing Ji	194 1.2×	125 1.2×	135 1.5×	22 0.5×	35 1.0×	9	413
Yangang Wang	188 1.1×	62 0.6×	82 0.9×	26 0.6×	22 0.6×	16	353

Countries citing papers authored by Chao Tan

Since Specialization

Citations

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

Fields of papers citing papers by Chao Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Tan

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