Dianshi Wang

16 total papers · 511 total citations
9 papers, 391 citations indexed

About

Dianshi Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Dianshi Wang has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 1 paper in Surgery. Recurrent topics in Dianshi Wang's work include Neuroscience and Neuropharmacology Research (4 papers), Ion channel regulation and function (2 papers) and Plant-based Medicinal Research (1 paper). Dianshi Wang is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Ion channel regulation and function (2 papers) and Plant-based Medicinal Research (1 paper). Dianshi Wang collaborates with scholars based in China, Canada and United States. Dianshi Wang's co-authors include Paul D. Whissell, Irene Lecker, Beverley A. Orser, C. David Mazer, Sinziana Avramescu, Qi Wan, Hua Feng, Lijun Li, Baosong Liu and Hanbin Wang and has published in prestigious journals such as Stroke, Annals of Neurology and Annals of Surgery.

In The Last Decade

Dianshi Wang

9 papers receiving 388 citations

Author Peers

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

Author						Papers	Cites
Dianshi Wang	125	106	101	65	55	9	391
Roman Pohorecki	91 0.7×	88 0.8×	86 0.9×	165 2.5×	26 0.5×	20	394
Patricia Machado	142 1.1×	41 0.4×	156 1.5×	35 0.5×	27 0.5×	11	336
Halldor Jóhannsson	87 0.7×	23 0.2×	38 0.4×	52 0.8×	17 0.3×	13	434
Lars Gisselsson	60 0.5×	14 0.1×	64 0.6×	45 0.7×	26 0.5×	17	342
Yongxin Liang	58 0.5×	21 0.2×	47 0.5×	61 0.9×	87 1.6×	16	336
Phyllis Salzman	80 0.6×	29 0.3×	79 0.8×	23 0.4×	17 0.3×	16	395
Fumihiko Kashiwagi	58 0.5×	16 0.2×	42 0.4×	32 0.5×	9 0.2×	15	339
V. Valeriani	73 0.6×	13 0.1×	85 0.8×	40 0.6×	28 0.5×	9	416
Jue‐Rong Zhang	154 1.2×	44 0.4×	35 0.3×	22 0.3×	20 0.4×	9	405
Xue Deng	112 0.9×	9 0.1×	104 1.0×	18 0.3×	27 0.5×	20	442

Countries citing papers authored by Dianshi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Dianshi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianshi Wang

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