Haifeng Shu

73 total papers · 1.6k total citations
55 papers, 1.2k citations indexed

About

Haifeng Shu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Haifeng Shu has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 9 papers in Neurology. Recurrent topics in Haifeng Shu's work include Neuroscience and Neuropharmacology Research (13 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Tuberous Sclerosis Complex Research (6 papers). Haifeng Shu is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Tuberous Sclerosis Complex Research (6 papers). Haifeng Shu collaborates with scholars based in China, United States and France. Haifeng Shu's co-authors include Sixun Yu, Yong-qin Kuang, Shiyong Liu, Jingmin Cheng, Huiying Liu, Xin Chen, Zheng Nie, Tao Yang, Hui Yang and Qing Yin and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain Research.

In The Last Decade

Haifeng Shu

52 papers receiving 1.2k citations

Hit Papers

The Role of BDNF on Neura... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Haifeng Shu 354 327 180 163 161 55 1.2k
Carina Rodrigues Boeck 275 0.8× 396 1.2× 96 0.5× 150 0.9× 105 0.7× 57 1.1k
Zuoli Sun 352 1.0× 273 0.8× 171 0.9× 157 1.0× 195 1.2× 57 1.3k
Fiona Limanaqi 539 1.5× 322 1.0× 255 1.4× 239 1.5× 181 1.1× 50 1.4k
Annalisa Nobili 307 0.9× 372 1.1× 129 0.7× 318 2.0× 123 0.8× 34 921
Benjamin F. Gruenbaum 359 1.0× 415 1.3× 272 1.5× 215 1.3× 297 1.8× 90 1.5k
Matilde Otero‐Losada 407 1.1× 246 0.8× 149 0.8× 160 1.0× 124 0.8× 81 1.2k
Henrique B. Silva 276 0.8× 436 1.3× 127 0.7× 234 1.4× 242 1.5× 37 1.1k
Juan Carlos Corona 469 1.3× 245 0.7× 223 1.2× 221 1.4× 101 0.6× 28 1.1k
Ágnes Rimanóczy 385 1.1× 461 1.4× 77 0.4× 271 1.7× 125 0.8× 59 1.5k
Sylvia S. White 273 0.8× 498 1.5× 166 0.9× 230 1.4× 181 1.1× 28 1.0k

Countries citing papers authored by Haifeng Shu

Since Specialization
Citations

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

Fields of papers citing papers by Haifeng Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haifeng Shu

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