Shuman Huang

45 total papers · 581 total citations
24 papers, 167 citations indexed

About

Shuman Huang is a scholar working on Cellular and Molecular Neuroscience, Otorhinolaryngology and Cognitive Neuroscience. According to data from OpenAlex, Shuman Huang has authored 24 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Otorhinolaryngology and 6 papers in Cognitive Neuroscience. Recurrent topics in Shuman Huang's work include Neurobiology and Insect Physiology Research (6 papers), Neural dynamics and brain function (5 papers) and Sinusitis and nasal conditions (5 papers). Shuman Huang is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Neural dynamics and brain function (5 papers) and Sinusitis and nasal conditions (5 papers). Shuman Huang collaborates with scholars based in China, Australia and United States. Shuman Huang's co-authors include Yulin Zhao, Jianguo Wen, Wei Wei, Zhuo Ye, Dong Dong, Yanli Ji, Zhenzhen Li, Peter‐John Wormald, Ning Sun and Jing Geng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

Shuman Huang

20 papers receiving 163 citations

Author Peers

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

Author						Papers	Cites
Shuman Huang	42	32	21	21	20	24	167
Álvaro Gimeno Díaz de Atauri	46 1.1×	60 1.9×	6 0.3×	10 0.5×	11 0.6×	29	272
Jingjing Li	60 1.4×	36 1.1×	42 2.0×	18 0.9×	12 0.6×	24	285
Yanhong Li	82 2.0×	15 0.5×	6 0.3×	6 0.3×	9 0.5×	29	285
Jialing Wu	80 1.9×	38 1.2×	6 0.3×	19 0.9×	26 1.3×	33	275
John B. Finlay	29 0.7×	21 0.7×	6 0.3×	41 2.0×	14 0.7×	21	229
Sandeep Saluja	61 1.5×	43 1.3×	30 1.4×	44 2.1×	17 0.8×	20	279
Xixi Liu	108 2.6×	12 0.4×	4 0.2×	18 0.9×	10 0.5×	22	239
Min Su Kim	62 1.5×	58 1.8×	10 0.5×	15 0.7×	10 0.5×	35	275
Francesco Marinelli	30 0.7×	148 4.6×	15 0.7×	26 1.2×	11 0.6×	22	290
Agnieszka Wasilewska	40 1.0×	27 0.8×	3 0.1×	17 0.8×	27 1.4×	14	284

Countries citing papers authored by Shuman Huang

Since Specialization

Citations

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

Fields of papers citing papers by Shuman Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuman Huang

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