Liming Tan

62 total papers · 1.3k total citations
27 papers, 740 citations indexed

About

Liming Tan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Liming Tan has authored 27 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 11 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Liming Tan's work include Neurobiology and Insect Physiology Research (8 papers), Cellular transport and secretion (6 papers) and Neural dynamics and brain function (4 papers). Liming Tan is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Cellular transport and secretion (6 papers) and Neural dynamics and brain function (4 papers). Liming Tan collaborates with scholars based in United States, China and Canada. Liming Tan's co-authors include S Lawrence Zipursky, Sherie L. Morrison, Shuwa Xu, Vernon T. Oi, Sonal Nagarkar-Jaiswal, Joshua T. Trachtenberg, Qi Xiao, Kelvin Xi Zhang, Jason M. McEwen and Hugo J. Bellen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Liming Tan

25 papers receiving 719 citations

Author Peers

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

Author						Papers	Cites
Liming Tan	380	379	137	131	122	27	740
Jerome Demmer	388 1.0×	317 0.8×	131 1.0×	64 0.5×	64 0.5×	22	909
M A Kolks	316 0.8×	317 0.8×	53 0.4×	74 0.6×	131 1.1×	13	758
Minh M. Nguyen	465 1.2×	151 0.4×	84 0.6×	31 0.2×	143 1.2×	25	763
Tomohiro Masuda	488 1.3×	168 0.4×	86 0.6×	46 0.4×	66 0.5×	45	863
Irene González-Menéndez	226 0.6×	137 0.4×	108 0.8×	41 0.3×	34 0.3×	46	692
Ravi P. Munjaal	488 1.3×	149 0.4×	60 0.4×	47 0.4×	90 0.7×	18	734
Ernst Horstmann	205 0.5×	175 0.5×	22 0.2×	23 0.2×	92 0.8×	19	728
Ric I. Cone	314 0.8×	130 0.3×	68 0.5×	62 0.5×	82 0.7×	14	676
Sylvia M. Bardet	260 0.7×	136 0.4×	21 0.2×	31 0.2×	79 0.6×	47	677
Erin C. Jacobs	249 0.7×	231 0.6×	45 0.3×	17 0.1×	35 0.3×	24	658

Countries citing papers authored by Liming Tan

Since Specialization

Citations

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

Fields of papers citing papers by Liming Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Tan

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