Nian Gong

1.6k total citations
46 papers, 1.3k citations indexed

About

Nian Gong is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Nian Gong has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 16 papers in Physiology and 12 papers in Molecular Biology. Recurrent topics in Nian Gong's work include Pain Mechanisms and Treatments (16 papers), Phytoplasmas and Hemiptera pathogens (11 papers) and Amino Acid Enzymes and Metabolism (8 papers). Nian Gong is often cited by papers focused on Pain Mechanisms and Treatments (16 papers), Phytoplasmas and Hemiptera pathogens (11 papers) and Amino Acid Enzymes and Metabolism (8 papers). Nian Gong collaborates with scholars based in China, United States and Czechia. Nian Gong's co-authors include Yong‐Xiang Wang, Hui Fan, Teng‐Fei Li, Ai‐Niu Ma, Qi Xiao, Z. David Luo, Bin Zhu, Qian Huang, Jinlu Huang and Yuan Chen and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Nian Gong

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nian Gong China 22 459 412 403 257 144 46 1.3k
Pingping Zuo China 23 599 1.3× 663 1.6× 561 1.4× 69 0.3× 100 0.7× 68 1.8k
Yui Yamamoto Japan 24 236 0.5× 404 1.0× 860 2.1× 98 0.4× 73 0.5× 56 1.7k
Yuri Ikeda‐Matsuo Japan 18 282 0.6× 275 0.7× 408 1.0× 128 0.5× 42 0.3× 37 1.3k
Woosuk Kim South Korea 25 336 0.7× 340 0.8× 601 1.5× 65 0.3× 58 0.4× 108 1.7k
Pilar Monfort Spain 23 405 0.9× 607 1.5× 487 1.2× 70 0.3× 33 0.2× 35 1.9k
A.A. Farooqui United States 24 268 0.6× 215 0.5× 643 1.6× 91 0.4× 124 0.9× 58 1.4k
Huey-Jen Tsay Taiwan 20 413 0.9× 164 0.4× 587 1.5× 64 0.2× 59 0.4× 36 1.4k
Fengming Wu China 18 196 0.4× 219 0.5× 493 1.2× 73 0.3× 57 0.4× 56 1.1k
Achim Schmidtko Germany 28 1.3k 2.8× 821 2.0× 1.0k 2.6× 170 0.7× 68 0.5× 72 2.5k

Countries citing papers authored by Nian Gong

Since Specialization
Citations

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

Fields of papers citing papers by Nian Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nian Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Nian Gong. A scholar is included among the top collaborators of Nian Gong 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 Nian Gong. Nian Gong 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.
Zhang, Dai, Yue Liu, Xiuling Jiao, et al.. (2025). Microfluidic-assisted sol–gel preparation of monodisperse mesoporous silica microspheres with controlled size, surface morphology, porosity and stiffness. Nanoscale. 17(9). 5222–5231. 1 indexed citations
2.
Yang, Lin, et al.. (2023). Characterizing the Complete Mitochondrial Genomes of Three Bugs (Hemiptera: Heteroptera) Harming Bamboo. Genes. 14(2). 342–342. 7 indexed citations
3.
Grosicki, Sebastian, Torben Plesner, Wojciech Jurczak, et al.. (2023). GEN3014 (HexaBody ®-CD38) in Anti-CD38 Mab-Naive Patients with Relapsed/Refractory Multiple Myeloma: Preliminary Results from a Dose-Expansion Cohort of a Phase 1/2 Trial. Blood. 142(Supplement 1). 4757–4757. 2 indexed citations
4.
Gong, Nian, Lin Yang, & Xiang‐Sheng Chen. (2021). Comparative analysis of twelve mitogenomes of Caliscelidae (Hemiptera: Fulgoromorpha) and their phylogenetic implications. PeerJ. 9. e12465–e12465. 5 indexed citations
5.
Gong, Nian, Lin Yang, & Xiang‐Sheng Chen. (2021). Structural Features and Phylogenetic Implications of Four New Mitogenomes of Caliscelidae (Hemiptera: Fulgoromorpha). International Journal of Molecular Sciences. 22(3). 1348–1348. 10 indexed citations
6.
Gong, Nian, et al.. (2020). Two new species of the genus Symplanella Fennah (Hemiptera, Fulgoromorpha, Caliscelidae) from China. Zootaxa. 4801(2). zootaxa.4801.2.9–zootaxa.4801.2.9. 1 indexed citations
7.
Gong, Nian, Lin Yang, & Xiang‐Sheng Chen. (2020). New genus and new species of the tribe Augilini (Hemiptera, Fulgoromorpha: Caliscelidae) from Yunnan Province in China. Zootaxa. 4895(3). zootaxa.4895.3.6–zootaxa.4895.3.6. 2 indexed citations
8.
Gong, Nian, et al.. (2019). Functional Reorganization of Local Circuit Connectivity in Superficial Spinal Dorsal Horn with Neuropathic Pain States. eNeuro. 6(5). ENEURO.0272–19.2019. 11 indexed citations
9.
Gong, Nian, Lin Yang, & Xiang‐Sheng Chen. (2018). Youtuus, a new bamboo-feeding genus of the tribe Augilini with two new species from China (Hemiptera, Fulgoromorpha, Caliscelidae). ZooKeys. 783(783). 85–96. 4 indexed citations
10.
Xu, Meng, et al.. (2017). Morroniside, a secoiridoid glycoside fromCornus officinalis,attenuates neuropathic pain by activation of spinal glucagon‐like peptide‐1 receptors. British Journal of Pharmacology. 174(7). 580–590. 46 indexed citations
11.
Xie, Dongsheng, Jun Lu, Jin Xie, et al.. (2016). Discovery and analgesic evaluation of 8-chloro-1,4-dihydropyrido[2,3- b ]pyrazine-2,3-dione as a novel potent d -amino acid oxidase inhibitor. European Journal of Medicinal Chemistry. 117. 19–32. 5 indexed citations
12.
Park, John, Chunyi Zhou, Kang-Wu Li, et al.. (2016). Central Mechanisms Mediating Thrombospondin-4-induced Pain States. Journal of Biological Chemistry. 291(25). 13335–13348. 56 indexed citations
13.
Sun, Yanjun, Taruna Ikrar, Melissa F. Davis, et al.. (2016). Neuregulin-1/ErbB4 Signaling Regulates Visual Cortical Plasticity. Neuron. 92(1). 160–173. 89 indexed citations
14.
15.
Huang, Qian, Yuan Chen, Nian Gong, & Yong‐Xiang Wang. (2015). Methylglyoxal mediates streptozotocin-induced diabetic neuropathic pain via activation of the peripheral TRPA1 and Nav1.8 channels. Metabolism. 65(4). 463–474. 70 indexed citations
16.
17.
Gong, Nian, Xinyan Li, Qi Xiao, & Yong‐Xiang Wang. (2013). Identification of a Novel Spinal Dorsal Horn Astroglial d-Amino Acid Oxidase–Hydrogen Peroxide Pathway Involved in Morphine Antinociceptive Tolerance. Anesthesiology. 120(4). 962–975. 30 indexed citations
18.
Gong, Nian, Yanchao Wang, Huili Wang, et al.. (2012). Interactions of the potent d-amino acid oxidase inhibitor CBIO with morphine in pain and tolerance to analgesia. Neuropharmacology. 63(3). 460–468. 27 indexed citations
19.
Lu, Jinmiao, et al.. (2011). d‐Amino acid oxidase‐mediated increase in spinal hydrogen peroxide is mainly responsible for formalin‐induced tonic pain. British Journal of Pharmacology. 165(6). 1941–1955. 50 indexed citations
20.
Gong, Nian, et al.. (2004). Chromosome inheritance in triploid Pacific oyster Crassostrea gigas Thunberg. Heredity. 93(5). 408–415. 40 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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