Gui Lan Yao

977 total citations
11 papers, 699 citations indexed

About

Gui Lan Yao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Gui Lan Yao has authored 11 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Gui Lan Yao's work include Circadian rhythm and melatonin (3 papers), Nerve injury and regeneration (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Gui Lan Yao is often cited by papers focused on Circadian rhythm and melatonin (3 papers), Nerve injury and regeneration (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Gui Lan Yao collaborates with scholars based in Japan, United States and China. Gui Lan Yao's co-authors include Bruce P. Bean, Alexander C. Jackson, Hiroshi Kiyama, Marco Martina, Masaya Tohyama, Yan Li, Antonio Riccio, David E. Clapham, Tsvetkov Ea and Svetlana Gapon and has published in prestigious journals such as Cell, Journal of Neuroscience and Brain Research.

In The Last Decade

Gui Lan Yao

10 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gui Lan Yao Japan	8	402	300	231	109	106	11	699
G. Glassmeier Germany	16	370 0.9×	534 1.8×	188 0.8×	42 0.4×	44 0.4×	24	1.0k
Michelle D. Amaral United States	13	360 0.9×	326 1.1×	181 0.8×	30 0.3×	54 0.5×	16	732
Lauri Louhivuori Finland	16	231 0.6×	320 1.1×	140 0.6×	109 1.0×	231 2.2×	29	777
Arthur L. Nikkel United States	21	452 1.1×	722 2.4×	178 0.8×	110 1.0×	70 0.7×	38	1.3k
J. A. Sim United Kingdom	17	590 1.5×	535 1.8×	72 0.3×	129 1.2×	168 1.6×	25	902
Jörg Pohle Germany	6	254 0.6×	150 0.5×	223 1.0×	107 1.0×	46 0.4×	9	591
Teresa Soda Italy	15	261 0.6×	231 0.8×	162 0.7×	36 0.3×	96 0.9×	27	687
Tero Viitanen Finland	11	693 1.7×	487 1.6×	95 0.4×	25 0.2×	162 1.5×	16	958
A. G. Miriam Leenders Netherlands	13	368 0.9×	395 1.3×	140 0.6×	28 0.3×	50 0.5×	15	795
T H Joh United States	15	806 2.0×	480 1.6×	100 0.4×	138 1.3×	91 0.9×	28	1.4k

Countries citing papers authored by Gui Lan Yao

Since Specialization

Citations

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

Fields of papers citing papers by Gui Lan Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui Lan Yao. 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 Gui Lan Yao. The network helps show where Gui Lan Yao may publish in the future.

Co-authorship network of co-authors of Gui Lan Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Gui Lan Yao. A scholar is included among the top collaborators of Gui Lan Yao 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 Gui Lan Yao. Gui Lan Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Yao, Gui Lan, Leming Shi, & Yuanting Zheng. (2025). The landscape of innovative oncology drug targets. Drug Discovery Today. 31(1). 104571–104571.

Riccio, Antonio, Yan Li, Tsvetkov Ea, et al.. (2014). Decreased Anxiety-Like Behavior and G_αq/11-Dependent Responses in the Amygdala of Mice Lacking TRPC4 Channels. Journal of Neuroscience. 34(10). 3653–3667. 83 indexed citations

Riccio, Antonio, Yan Li, Jisook Moon, et al.. (2009). Essential Role for TRPC5 in Amygdala Function and Fear-Related Behavior. Cell. 137(4). 761–772. 219 indexed citations

Jackson, Alexander C., Gui Lan Yao, & Bruce P. Bean. (2004). Mechanism of Spontaneous Firing in Dorsomedial Suprachiasmatic Nucleus Neurons. Journal of Neuroscience. 24(37). 7985–7998. 137 indexed citations

Martina, Marco, Gui Lan Yao, & Bruce P. Bean. (2003). Properties and Functional Role of Voltage-Dependent Potassium Channels in Dendrites of Rat Cerebellar Purkinje Neurons. Journal of Neuroscience. 23(13). 5698–5707. 105 indexed citations

Yao, Gui Lan, et al.. (1997). Selective Upregulation of Cytokine Receptor Subchain and Their Intracellular Signalling Molecules After Peripheral Nerve Injury. European Journal of Neuroscience. 9(5). 1047–1054. 45 indexed citations

Yao, Gui Lan & Hiroshi Kiyama. (1995). Dexamethasone enhances level of GAP-43 mRNA after nerve injury and facilitates re-projection of the hypoglossal nerve. Molecular Brain Research. 32(2). 308–312. 16 indexed citations

Yao, Gui Lan & Hiroshi Kiyama. (1995). Colchicine induces the GAP-43 gene expression in rat hypothalamus. Molecular Brain Research. 30(2). 373–377. 5 indexed citations

Yao, Gui Lan, et al.. (1994). Neurotensin transcription is oppositely regulated during development and regeneration. Neuroreport. 5(13). 1589–1592. 2 indexed citations

10.

Yao, Gui Lan, Hiroshi Kiyama, & Masaya Tohyama. (1993). Distribution of GAP-43 (B50/F1) mRNA in the adult rat brain by in situ hybridization using an alkaline phosphatase labeled probe. Molecular Brain Research. 18(1-2). 1–16. 55 indexed citations

11.

Yao, Gui Lan, Masaya Tohyama, & Emiko Senba. (1992). Histamine-caused itch induces Fos-like immunoreactivity in dorsal horn neurons: effect of morphine pretreatment. Brain Research. 599(2). 333–337. 32 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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