Honglin Wu

58 total papers · 580 total citations
44 papers, 290 citations indexed

About

Honglin Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Honglin Wu has authored 44 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Honglin Wu's work include Epigenetics and DNA Methylation (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Ion channel regulation and function (4 papers). Honglin Wu is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Ion channel regulation and function (4 papers). Honglin Wu collaborates with scholars based in China, Singapore and United States. Honglin Wu's co-authors include Hemin Zhang, Dingzhen Liu, Cheng‐Hua Zhao, Rongping Wei, Lixing Sun, Guiquan Zhang, Jianxu Zhang, Pengli Zhu, Junnian Wu and Qian Chen and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and The Journal of Comparative Neurology.

In The Last Decade

Honglin Wu

40 papers receiving 289 citations

Author Peers

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

Author						Papers	Cites
Honglin Wu	97	34	30	30	26	44	290
Eduardo Maurício Mendes de Lima	48 0.5×	11 0.3×	18 0.6×	10 0.3×	14 0.5×	91	269
Vibeke Sødring Elbrønd	51 0.5×	36 1.1×	13 0.4×	5 0.2×	34 1.3×	35	303
Wen Chen	84 0.9×	25 0.7×	8 0.3×	37 1.2×	9 0.3×	41	282
Jiamin Yan	90 0.9×	19 0.6×	17 0.6×	7 0.2×	9 0.3×	35	295
Subrat Kumar Swain	90 0.9×	57 1.7×	24 0.8×	21 0.7×	17 0.7×	35	285
Feng Zheng	120 1.2×	46 1.4×	12 0.4×	43 1.4×	9 0.3×	35	291
Jing Wang	66 0.7×	38 1.1×	17 0.6×	11 0.4×	23 0.9×	28	271
Manami Kobayashi	140 1.4×	28 0.8×	6 0.2×	16 0.5×	13 0.5×	38	317
Giuseppe Piegari	81 0.8×	42 1.2×	13 0.4×	52 1.7×	14 0.5×	36	322
Zhixin Li	89 0.9×	33 1.0×	3 0.1×	51 1.7×	9 0.3×	29	310

Countries citing papers authored by Honglin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Honglin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honglin Wu

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