Mei Hu

31 total papers · 1.2k total citations
20 papers, 826 citations indexed

About

Mei Hu is a scholar working on Cancer Research, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Mei Hu has authored 20 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Mei Hu's work include Alzheimer's disease research and treatments (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Mei Hu is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Mei Hu collaborates with scholars based in United States, Canada and Germany. Mei Hu's co-authors include Chu Chen, Zamaneh Kassiri, Zhao‐Qian Teng, Mengcheng Shen, Sayantan Jana, Jian Zhang, Johannes Thome, Miriam Baader, Fritz A. Henn and Yunping Song and has published in prestigious journals such as Journal of Neuroscience, Circulation Research and Brain.

In The Last Decade

Mei Hu

20 papers receiving 818 citations

Author Peers

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

Author Last Decade Papers Cites
Mei Hu 222 211 170 146 127 20 826
William Lam 262 1.2× 102 0.5× 128 0.8× 107 0.7× 60 0.5× 26 877
Chuanhan Zhang 334 1.5× 186 0.9× 75 0.4× 314 2.2× 83 0.7× 45 974
Tommi Kainu 299 1.3× 135 0.6× 115 0.7× 74 0.5× 76 0.6× 21 736
Anders Ericsson‐Dahlstrand 206 0.9× 164 0.8× 51 0.3× 167 1.1× 35 0.3× 17 1.0k
Yan Dong 248 1.1× 138 0.7× 40 0.2× 203 1.4× 46 0.4× 30 803
Vittorio Colangelo 358 1.6× 154 0.7× 136 0.8× 290 2.0× 55 0.4× 17 914
Donglin Zhu 201 0.9× 125 0.6× 100 0.6× 133 0.9× 68 0.5× 41 804
Chang Su 437 2.0× 236 1.1× 56 0.3× 120 0.8× 56 0.4× 26 1.0k
Pilar Negredo 326 1.5× 242 1.1× 93 0.5× 206 1.4× 59 0.5× 32 920
Paulo Valdeci Worm 178 0.8× 184 0.9× 57 0.3× 158 1.1× 32 0.3× 40 962

Countries citing papers authored by Mei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Mei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Hu

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