Shanye Gu

409 total citations
11 papers, 206 citations indexed

About

Shanye Gu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Shanye Gu has authored 11 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Shanye Gu's work include CRISPR and Genetic Engineering (2 papers), DNA Repair Mechanisms (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Shanye Gu is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), DNA Repair Mechanisms (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Shanye Gu collaborates with scholars based in China. Shanye Gu's co-authors include Jiulin Du, Jiwen Bu, Pengchun Yu, Huaxing Zi, Xu-Fei Du, Tingting Liu, Baibing Zhang, Han Hou, Jiang‐An Yin and Yong Yan and has published in prestigious journals such as Nature Communications, Neuron and Circulation Research.

In The Last Decade

Shanye Gu

10 papers receiving 204 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shanye Gu China	6	114	58	47	46	44	11	206
Leonid Tyan United States	12	251 2.2×	30 0.5×	43 0.9×	76 1.7×	53 1.2×	19	380
Nagisa Matsumoto Japan	8	159 1.4×	91 1.6×	28 0.6×	88 1.9×	93 2.1×	9	331
Máté Katona United States	4	228 2.0×	63 1.1×	84 1.8×	18 0.4×	56 1.3×	5	321
Annika Pfeiffer Germany	7	216 1.9×	26 0.4×	30 0.6×	41 0.9×	75 1.7×	7	313
Biying Sun China	8	80 0.7×	107 1.8×	20 0.4×	29 0.6×	16 0.4×	14	339
Yoshiaki Maruyama Japan	7	192 1.7×	54 0.9×	22 0.5×	135 2.9×	79 1.8×	13	320
Xiahui Tan Australia	11	169 1.5×	110 1.9×	20 0.4×	73 1.6×	42 1.0×	13	361
Natalia Smith‐Cortinez Netherlands	6	202 1.8×	23 0.4×	63 1.3×	32 0.7×	24 0.5×	9	304
Pablo S. Gaete United States	9	219 1.9×	97 1.7×	12 0.3×	16 0.3×	42 1.0×	16	304
Rajesh Mahey India	5	318 2.8×	52 0.9×	45 1.0×	73 1.6×	147 3.3×	9	405

Countries citing papers authored by Shanye Gu

Since Specialization

Citations

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

Fields of papers citing papers by Shanye Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanye Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Liu, Tingting, Hongyu Li, Shanye Gu, et al.. (2025). NMDA receptors coordinate brain vascular development via neuron-to-endothelial tip cell crosstalk in zebrafish. Nature Communications. 16(1). 10856–10856.

Gu, Shanye, et al.. (2024). The Safety, Tolerability, and Pharmacokinetics of Active Ingredients From Hydroxysafflor Yellow A in Healthy Chinese Volunteers. Clinical Pharmacology in Drug Development. 14(1). 79–86. 1 indexed citations

Gu, Shanye, et al.. (2023). Long noncoding RNA PVT1 predicts poor prognosis and promotes the progression of colorectal cancer through the miR-24-3p/NRP1 axis in zebrafish xenografts. Neoplasma. 70(4). 500–513. 7 indexed citations

Gu, Shanye, Ziyi Zhou, Shijie Zhang, & Yefeng Cai. (2022). Advances in Anti-Diabetic Cognitive Dysfunction Effect of Erigeron Breviscapus (Vaniot) Hand-Mazz. Pharmaceuticals. 16(1). 50–50. 3 indexed citations

Liu, Tingting, Xu-Fei Du, Baibing Zhang, et al.. (2020). Piezo1-Mediated Ca2+ Activities Regulate Brain Vascular Pathfinding during Development. Neuron. 108(1). 180–192.e5. 61 indexed citations

Gu, Shanye, Jia Li, Li Siyuan, et al.. (2020). Efficient replacement of long DNA fragments via non-homologous end joining at non-coding regions. Journal of Molecular Cell Biology. 13(1). 75–77. 3 indexed citations

Li, Jia, Hongyu Li, Shanye Gu, et al.. (2019). One-step generation of zebrafish carrying a conditional knockout-knockin visible switch via CRISPR/Cas9-mediated intron targeting. Science China Life Sciences. 63(1). 59–67. 15 indexed citations

Bu, Jiwen, et al.. (2011). Celecoxib Impairs Heart Development via Inhibiting Cyclooxygenase-2 Activity in Zebrafish Embryos. Anesthesiology. 114(2). 391–400. 12 indexed citations

Yu, Pengchun, Shanye Gu, Jiwen Bu, & Jiulin Du. (2010). TRPC1 Is Essential for In Vivo Angiogenesis in Zebrafish. Circulation Research. 106(7). 1221–1232. 86 indexed citations

10.

Huang, Cheng, Shanye Gu, Pengchun Yu, et al.. (2009). Deficiency of smarcal1 causes cell cycle arrest and developmental abnormalities in zebrafish. Developmental Biology. 339(1). 89–100. 13 indexed citations

11.

Gu, Shanye, et al.. (2005). Identification of a New Transcript Specifically Expressed in Mouse Spermatocytes: mmrp2. Molecular Biology Reports. 32(4). 247–255. 5 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.

Explore authors with similar magnitude of impact