Xiaodong Tan

50 total papers · 692 total citations
35 papers, 492 citations indexed

About

Xiaodong Tan is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaodong Tan has authored 35 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 18 papers in Sensory Systems and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaodong Tan's work include Hearing, Cochlea, Tinnitus, Genetics (17 papers), Photoreceptor and optogenetics research (12 papers) and Hearing Loss and Rehabilitation (11 papers). Xiaodong Tan is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (17 papers), Photoreceptor and optogenetics research (12 papers) and Hearing Loss and Rehabilitation (11 papers). Xiaodong Tan collaborates with scholars based in United States, China and France. Xiaodong Tan's co-authors include Claus‐Peter Richter, Robert Fettiplace, Maryline Beurg, Nan Xia, Yingyue Xu, David Z. Z. He, Kirk W. Beisel, Jie Tang, Stuart R. Stock and Xianghui Xiao and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Xiaodong Tan

33 papers receiving 487 citations

Author Peers

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

Author						Papers	Cites
Xiaodong Tan	231	199	191	70	54	35	492
Satomi Ebara	154 0.7×	38 0.2×	173 0.9×	91 1.3×	17 0.3×	21	489
Grigori Guitchounts	303 1.3×	37 0.2×	220 1.2×	45 0.6×	57 1.1×	11	456
Nobusada Ishiko	206 0.9×	119 0.6×	91 0.5×	95 1.4×	9 0.2×	36	490
Günter Reuter	105 0.5×	261 1.3×	255 1.3×	58 0.8×	13 0.2×	24	482
A. Chaudhuri	192 0.8×	29 0.1×	208 1.1×	160 2.3×	28 0.5×	19	505
D.L. Kirk	81 0.4×	327 1.6×	344 1.8×	154 2.2×	17 0.3×	25	517
Mary K. L. Baldwin	171 0.7×	43 0.2×	417 2.2×	79 1.1×	11 0.2×	24	548
Jun-Ping Bai	52 0.2×	259 1.3×	138 0.7×	161 2.3×	38 0.7×	26	432
Mel Brown	102 0.4×	309 1.6×	441 2.3×	27 0.4×	38 0.7×	23	521
Michele N. Insanally	218 0.9×	91 0.5×	389 2.0×	29 0.4×	32 0.6×	13	490

Countries citing papers authored by Xiaodong Tan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaodong Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Tan

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