Jiang Chu

837 citations
44 papers · 677 · h-index 17

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 5
    • RNA Interference and Gene Delivery 4
    • Alzheimer's disease research and treatments 5

Jiang Chu

43 papers receiving 669 citations

Peers

Jiang Chu
Comparison fields: 5 of 125
  • Biological Psychiatry 29
  • Neurology 63
  • Behavioral Neuroscience 21
  • Physiology 140
  • Cell Biology 94
Replace Lei Bai with:
Lei Bai China
Siyi Huang China
Colette Moulin France
Sergio Domenico Gadau Italy
Behnam Vafadari Germany
Cho-Yi Chen Taiwan
Hu Xiao China
Maren Keller Germany
Chenyi Xue United States
Tatiana I. Axenovich Russia
Jiang Chu relative to Lei Bai China Lei Bai's profile →
Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Jiang Chu

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiang Chu, 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 Jiang Chu Line = papers co-authored together Jiang Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202057
2 202154
3 201346
4 201845
5 201336
6 201235
7 201833
8 201530
9 201527
10 201727
11 201426
12 201522
13 202420
14 201620
15 200018
16 202117
17 202016
18 201714
19 201413
20 201612

About Jiang Chu

Jiang Chu is a scholar working on Molecular Biology, Physiology, Epidemiology, Cellular and Molecular Neuroscience and Civil and Structural Engineering, having authored 44 papers that have together received 677 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Alzheimer's disease research and treatments (5 papers), RNA Interference and Gene Delivery (4 papers), Herpesvirus Infections and Treatments (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Structural Load-Bearing Analysis (2 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Neurology (63 citations), Behavioral Neuroscience (21 citations), Physiology (140 citations) and Cell Biology (94 citations). Jiang Chu has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Qing Tian, Yanfeng Xue, Na Qu, Xiangyang Kong, Jian‐Zhi Wang, Yunwei Li, Lin Li, Peng Zeng, Yan Shi and Xinwen Zhou. Their work appears in journals such as Molecular Neurobiology, Frontiers in Earth Science, International Journal of Infectious Diseases, Neurobiology of Aging and Journal of Alzheimer s Disease.

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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