Ling-Yun Hao

21 total papers · 578 total citations
19 papers, 441 citations indexed

About

Ling-Yun Hao is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ling-Yun Hao has authored 19 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ling-Yun Hao's work include Signaling Pathways in Disease (4 papers), Pain Mechanisms and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Ling-Yun Hao is often cited by papers focused on Signaling Pathways in Disease (4 papers), Pain Mechanisms and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Ling-Yun Hao collaborates with scholars based in China, United States and Hong Kong. Ling-Yun Hao's co-authors include Jun‐Li Cao, Zhiqiang Pan, Zhouya Xue, Yanqiang Li, Ming Zhang, Yin Cui, Jun-Xia Yang, Hai‐Lei Ding, Xiaodan Liu and Ling Xie and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Pain.

In The Last Decade

Ling-Yun Hao

17 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
Ling-Yun Hao	270	162	108	94	41	19	441
Zhuofeng Ding	146 0.5×	189 1.2×	65 0.6×	116 1.2×	64 1.6×	23	394
Bin He	263 1.0×	106 0.7×	86 0.8×	83 0.9×	72 1.8×	21	467
Zhouya Xue	233 0.9×	116 0.7×	105 1.0×	69 0.7×	21 0.5×	18	375
Songxue Su	210 0.8×	268 1.7×	67 0.6×	178 1.9×	24 0.6×	18	495
Pasquale Cepparulo	208 0.8×	100 0.6×	103 1.0×	103 1.1×	70 1.7×	17	432
Yanmin Song	199 0.7×	65 0.4×	102 0.9×	48 0.5×	36 0.9×	30	423
Tai‐Kyoung Baik	178 0.7×	97 0.6×	49 0.5×	107 1.1×	54 1.3×	23	383
Shibin Du	166 0.6×	257 1.6×	58 0.5×	148 1.6×	22 0.5×	15	439
Dong-Xiao Duan	224 0.8×	178 1.1×	122 1.1×	80 0.9×	84 2.0×	17	479
Jinsong Zeng	207 0.8×	115 0.7×	64 0.6×	120 1.3×	96 2.3×	16	466

Countries citing papers authored by Ling-Yun Hao

Since Specialization

Citations

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

Fields of papers citing papers by Ling-Yun Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling-Yun Hao. 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 Ling-Yun Hao. The network helps show where Ling-Yun Hao may publish in the future.

Co-authorship network of co-authors of Ling-Yun Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Yun Hao. A scholar is included among the top collaborators of Ling-Yun Hao 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 Ling-Yun Hao. Ling-Yun Hao 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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