Lina Liang

43 total papers · 743 total citations
37 papers, 482 citations indexed

About

Lina Liang is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lina Liang has authored 37 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Organic Chemistry and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lina Liang's work include Photoreceptor and optogenetics research (4 papers), Retinal Development and Disorders (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Lina Liang is often cited by papers focused on Photoreceptor and optogenetics research (4 papers), Retinal Development and Disorders (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Lina Liang collaborates with scholars based in China, United States and Belgium. Lina Liang's co-authors include Liyan Qiu, Jun Fu, Run‐Tao Yan, Shuzhen Wang, Chun‐Sen Ma, Wenxin Ma, Ary A. Hoffmann, Peng Yan, Gang Ma and Wei Zhang and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and The Journal of Comparative Neurology.

In The Last Decade

Lina Liang

34 papers receiving 472 citations

Author Peers

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

Author						Papers	Cites
Lina Liang	252	72	71	62	62	37	482
Klaus D. Linse	221 0.9×	59 0.8×	33 0.5×	40 0.6×	48 0.8×	26	486
Masakazu Hachisu	328 1.3×	70 1.0×	26 0.4×	153 2.5×	39 0.6×	40	529
Yagiz Alp Aksoy	245 1.0×	80 1.1×	54 0.8×	13 0.2×	64 1.0×	11	523
Ernesto Doncel‐Pérez	221 0.9×	51 0.7×	37 0.5×	39 0.6×	26 0.4×	31	546
Patrícia Alessandra Bersanetti	137 0.5×	50 0.7×	26 0.4×	17 0.3×	41 0.7×	29	409
Piotr Dobryszycki	197 0.8×	99 1.4×	29 0.4×	26 0.4×	35 0.6×	50	505
Tobias Haase	183 0.7×	43 0.6×	68 1.0×	12 0.2×	25 0.4×	24	461
Maria Helena Juliani	345 1.4×	23 0.3×	16 0.2×	17 0.3×	65 1.0×	26	499
Darcy Gilmour	224 0.9×	19 0.3×	151 2.1×	15 0.2×	24 0.4×	20	475
Zhixing Zhao	323 1.3×	67 0.9×	10 0.1×	52 0.8×	31 0.5×	23	526

Countries citing papers authored by Lina Liang

Since Specialization

Citations

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

Fields of papers citing papers by Lina Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Liang

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