Shuman Huang

599 total citations
24 papers, 170 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 170 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), Sinusitis and nasal conditions (5 papers) and Neural dynamics and brain function (5 papers). Shuman Huang is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Sinusitis and nasal conditions (5 papers) and Neural dynamics and brain function (5 papers). Shuman Huang collaborates with scholars based in China, Australia and United States. Shuman Huang's co-authors include Yulin Zhao, Jianguo Wen, Zhuo Ye, Wei Wei, Yanli Ji, Dong Dong, Peter‐John Wormald, Sarah Vreugde, Zhan Guo and Xianghua Liu 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 166 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shuman Huang China 8 42 32 21 21 20 24 170
Tong Lin China 16 24 0.6× 51 1.6× 34 1.6× 13 0.6× 14 0.7× 52 562
Federica Mura Italy 7 21 0.5× 42 1.3× 28 1.3× 10 0.5× 13 0.7× 9 183
Himadri Datta India 12 37 0.9× 25 0.8× 8 0.4× 102 4.9× 9 0.5× 36 326
P. Stavroulaki United Kingdom 7 64 1.5× 41 1.3× 34 1.6× 4 0.2× 2 0.1× 8 327
Gionata Buggiani Italy 13 30 0.7× 39 1.2× 13 0.6× 6 0.3× 35 1.8× 26 514
С.А. Карпищенко Russia 6 46 1.1× 79 2.5× 6 0.3× 8 0.4× 4 0.2× 103 235
Alma Maniu Romania 9 39 0.9× 55 1.7× 40 1.9× 2 0.1× 8 0.4× 48 352
C. Hourseau France 7 33 0.8× 12 0.4× 23 1.1× 6 0.3× 17 0.8× 9 560
Min Su Kim South Korea 9 62 1.5× 59 1.8× 15 0.7× 11 0.5× 11 0.6× 35 279
Chloe Ekelem United States 10 26 0.6× 38 1.2× 18 0.9× 5 0.2× 21 1.1× 20 335

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

20 of 20 papers shown
1.
Guo, Qian, et al.. (2025). The vitamin D3 axis in laryngeal cancer: a double-edged sword modulated by estrogen signaling. Frontiers in Immunology. 16. 1688589–1688589.
2.
3.
Guo, Qian, et al.. (2024). Hub genes, diagnostic model, and predicted drugs related to ferroptosis in chronic rhinosinusitis with nasal polyps. Medicine. 103(48). e40624–e40624. 1 indexed citations
4.
Xu, Zhengwei, et al.. (2024). Proactive Caching With Distributed Deep Reinforcement Learning in 6G Cloud-Edge Collaboration Computing. IEEE Transactions on Parallel and Distributed Systems. 35(8). 1387–1399. 9 indexed citations
5.
Guo, Qian, et al.. (2024). The association between cardiovascular health and obstructive sleep apnea symptoms: findings from NHANES. Frontiers in Cardiovascular Medicine. 11. 1466752–1466752.
6.
Huang, Shuman, et al.. (2024). Dynamic Nonlinear Spatial Integrations on Encoding Contrasting Stimuli of Tectal Neurons. Animals. 14(11). 1577–1577. 1 indexed citations
7.
Rao, Xiaoping, et al.. (2023). Detection of a temporal salient object benefits from visual stimulus‐specific adaptation in avian midbrain inhibitory nucleus. Integrative Zoology. 19(2). 288–306. 1 indexed citations
8.
Huang, Shuman, et al.. (2023). A Moving Target Detection Model Inspired by Spatio-Temporal Information Accumulation of Avian Tectal Neurons. Mathematics. 11(5). 1169–1169. 2 indexed citations
9.
10.
Huang, Shuman, et al.. (2022). Visual Responses to Moving and Flashed Stimuli of Neurons in Domestic Pigeon (Columba livia domestica) Optic Tectum. Animals. 12(14). 1798–1798. 1 indexed citations
11.
Huang, Shuman, et al.. (2022). Surround Modulation Properties of Tectal Neurons in Pigeons Characterized by Moving and Flashed Stimuli. Animals. 12(4). 475–475. 3 indexed citations
12.
Huang, Shuman, et al.. (2022). Corynebacterium accolens inhibits Staphylococcus aureus induced mucosal barrier disruption. Frontiers in Microbiology. 13. 984741–984741. 16 indexed citations
13.
Huang, Shuman, Dong Dong, Yaqian Zhang, et al.. (2021). Long non-coding RNA nuclear paraspeckle assembly transcript 1 promotes activation of T helper 2 cells via inhibiting STAT6 ubiquitination. Human Cell. 34(3). 800–807. 15 indexed citations
14.
Huang, Shuman, et al.. (2021). An Accumulated Energy Encoding Model of the Pigeon Optic Tectum: Accounting for the Difference of Response to Moving and Flashed Stimulus. International Journal of Psychophysiology. 168. S185–S185. 2 indexed citations
15.
Dong, Dong, Nicky Thomas, Mahnaz Ramezanpour, et al.. (2020). Inhibition of Staphylococcus aureus and Pseudomonas aeruginosa biofilms by quatsomes in low concentrations. Experimental Biology and Medicine. 245(1). 34–41. 18 indexed citations
16.
Huang, Shuman, et al.. (2020). Comparison of pop-out responses to luminance and motion contrasting stimuli of tectal neurons in pigeons. Brain Research. 1747. 147068–147068. 5 indexed citations
17.
Dong, Dong, Shuman Huang, Xiaoyuan Zhu, et al.. (2020). Assessment of three types of intranasal nebulization devices in three‐dimensional printed models and volunteers: a pilot study. International Forum of Allergy & Rhinology. 10(12). 1300–1308. 5 indexed citations
18.
Chen, Zhuo, et al.. (2019). Creation and validation of three‐dimensional printed models for basic nasal endoscopic training. International Forum of Allergy & Rhinology. 9(6). 695–701. 22 indexed citations
19.
Guo, Zhan, Jianguo Wen, Quancheng Kan, et al.. (2013). Lack of association between vitamin D receptor gene FokI and BsmI polymorphisms and prostate cancer risk: an updated meta-analysis involving 21,756 subjects. Tumor Biology. 34(5). 3189–3200. 24 indexed citations
20.
Huang, Shuman, et al.. (1972). Efficiency of a solar cooler with an open flat solution regenerator. PubMed. 33(4). 326–331. 2 indexed citations

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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