Juanli Wu

41 total papers · 862 total citations
30 papers, 636 citations indexed

About

Juanli Wu is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Physiology. According to data from OpenAlex, Juanli Wu has authored 30 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Behavioral Neuroscience and 6 papers in Physiology. Recurrent topics in Juanli Wu's work include Stress Responses and Cortisol (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Alzheimer's disease research and treatments (5 papers). Juanli Wu is often cited by papers focused on Stress Responses and Cortisol (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Alzheimer's disease research and treatments (5 papers). Juanli Wu collaborates with scholars based in China, Netherlands and United States. Juanli Wu's co-authors include Lingui Xue, Ai‐Min Bao, Xu Zhao, Sha Li, Xueyan Wu, Manli Huang, Ligen Shi, Qiong‐Bin Zhu, Jing Lü and Qijun Zhang and has published in prestigious journals such as Brain, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Juanli Wu

26 papers receiving 630 citations

Author Peers

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

Author						Papers	Cites
Juanli Wu	142	124	109	101	86	30	636
Séverine Devers	152 1.1×	64 0.5×	116 1.1×	74 0.7×	26 0.3×	24	703
Hong Jiang	205 1.4×	144 1.2×	211 1.9×	91 0.9×	50 0.6×	36	780
Marcela Pereira	53 0.4×	215 1.7×	45 0.4×	39 0.4×	33 0.4×	32	659
Roberta de Paula Martins	27 0.2×	125 1.0×	69 0.6×	65 0.6×	52 0.6×	27	597
Daniela Ramírez Ortega	151 1.1×	172 1.4×	260 2.4×	57 0.6×	46 0.5×	20	735
Margarita Torrente	55 0.4×	130 1.0×	42 0.4×	84 0.8×	37 0.4×	39	703
Hecson Jesser Segat	76 0.5×	88 0.7×	49 0.4×	109 1.1×	16 0.2×	41	637
Sarah E. Orr	99 0.7×	70 0.6×	24 0.2×	18 0.2×	98 1.1×	24	672
William Potter	54 0.4×	147 1.2×	61 0.6×	127 1.3×	28 0.3×	36	674
Raffaella Alò	75 0.5×	141 1.1×	72 0.7×	101 1.0×	18 0.2×	47	613

Countries citing papers authored by Juanli Wu

Since Specialization

Citations

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

Fields of papers citing papers by Juanli Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juanli Wu

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