Weichen Shi

927 citations
12 papers · 813 · h-index 9

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

    • Inflammasome and immune disorders 2
    • S100 Proteins and Annexins 1
    • Histone Deacetylase Inhibitors Research 1
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Weichen Shi

12 papers receiving 811 citations

Peers

Weichen Shi
Comparison fields: 5 of 78
  • Neurology 180
  • Nephrology 65
  • Biological Psychiatry 19
  • Molecular Biology 460
  • Immunology 124
Replace Takhellambam S. Devi with:
Takhellambam S. Devi United States
Manon Moulis France
Pengchao Du China
Chayodom Maneechote Thailand
Huiying Yan China
Mikhail A. Kolpakov United States
Anna Hammer Germany
Ting Ji China
Devy Deliyanti Australia
Weichen Shi relative to Takhellambam S. Devi United States Takhellambam S. Devi's profile →
Citations per field
00.5×2×2.5×
Takhellambam S. Devi · 1×
Citations per year

Countries citing papers authored by Weichen Shi

Since Specialization
Citations

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

Fields of papers citing papers by Weichen Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2014372
2 2013126
3 201675
4 201673
5 201756
6 201353
7 201732
8 20218
9 20198
10 20177
11
Prospect of Biomanufacturing Industry During the Next National Twelfth Five-Year Plan Period
20112
12 20251

About Weichen Shi

Weichen Shi is a scholar working on Molecular Biology, Neurology, Immunology, Surgery and Nephrology, having authored 12 papers that have together received 813 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Inflammasome and immune disorders (2 papers), S100 Proteins and Annexins (1 paper), Inflammation biomarkers and pathways (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Renal Diseases and Glomerulopathies (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Neurology (180 citations), Nephrology (65 citations), Biological Psychiatry (19 citations), Molecular Biology (460 citations) and Immunology (124 citations). Weichen Shi has collaborated with scholars based in China. Frequent co-authors include Ziying Wang, Xinbing Wei, Fan Yi, Huirong Han, Yan Zhang, Fengli Li, Fan Yang, Xianfang Meng, Qi Pang and Tao Xin. Their work appears in journals such as OncoTargets and Therapy, Kidney International, Journal of Cerebral Blood Flow & Metabolism, Journal of Gastroenterology and Hepatology and Journal of Biophotonics.

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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