Wei Jie

56 papers receiving 1.4k citations

Peers

Wei Jie
Comparison fields: 5 of 101
  • Biological Psychiatry 161
  • Behavioral Neuroscience 108
  • Developmental Neuroscience 83
  • Neurology 158
  • Cellular and Molecular Neuroscience 283
Replace Silvia Bullitta with:
Silvia Bullitta Italy
Yoshiaki Miyamoto Japan
Angelo Raggioli Germany
Peisu Zhang United States
Gabriel Rusanescu United States
Wei‐Jye Lin China
Diego Fresegna Italy
Cinzia Ferri Italy
Agata Góźdź Poland
María-Angeles Carrillo-de Sauvage France
Wei Jie relative to Silvia Bullitta Italy Silvia Bullitta's profile →
Citations per field
00.5×1.5×2.3×
Silvia Bullitta · 1×
Citations per year

Countries citing papers authored by Wei Jie

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Jie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Jie Line = papers co-authored together Wei Jie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017177
2 2021111
3 201484
4 200981
5 201552
6 202150
7 201349
8 201949
9 201947
10 201239
11 201439
12 201436
13 201033
14 201832
15 201731
16 201729
17 201029
18 202029
19 200827
20 201526

About Wei Jie

Wei Jie is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Genetics and Pharmacology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cancer Mechanisms and Therapy (3 papers), Biological and pharmacological studies of plants (3 papers), Cancer-related gene regulation (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Biological Psychiatry (161 citations), Behavioral Neuroscience (108 citations), Developmental Neuroscience (83 citations), Neurology (158 citations) and Cellular and Molecular Neuroscience (283 citations). Wei Jie has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Tianming Gao, Jian‐Ming Yang, Zhihua Shen, Junli Guo, Jihong Liu, Qian Wang, Yanping Ha, Shu-Ji Li, Neng-Yuan Hu and Shaojiang Zheng. Their work appears in journals such as BMC Cancer, International Journal of Molecular Medicine, International Journal of Experimental Pathology, Molecular Psychiatry and Journal of Translational Medicine.

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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