Chenyan Wu

854 citations
14 papers · 642 · h-index 8

Impact in

  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
    • Adipose Tissue and Metabolism

Papers in

    • Peroxisome Proliferator-Activated Receptors 1
    • Ubiquitin and proteasome pathways 1
    • Endoplasmic Reticulum Stress and Disease 3

Chenyan Wu

13 papers receiving 631 citations

Peers

Chenyan Wu
Comparison fields: 5 of 72
  • Cell Biology 119
  • Physiology 118
  • Molecular Biology 324
  • Rheumatology 64
  • Biochemistry 32
Replace Kizzie Manning with:
Kizzie Manning Germany
Buu P. Tu United States
Elly Verbeek Netherlands
Benxu Cheng United States
Deborah Wallace Ireland
Sang Bae Lee South Korea
Sen Chandra Sreetama United States
Mei Kwan Canada
Séverine Groh United States
Silvia Tietz Switzerland
Chenyan Wu relative to Kizzie Manning Germany Kizzie Manning's profile →
Citations per field
00.5×1.5×2.5×
Kizzie Manning · 1×
Citations per year

Countries citing papers authored by Chenyan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenyan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2001217
2 2001186
3 2002103
4 202040
5 202128
6 202221
7 200216
8 201815
9 20247
10 20245
11 20222
12 20261
13 20261
14 20260

About Chenyan Wu

Chenyan Wu is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Physiology and Immunology, having authored 14 papers that have together received 642 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Mast cells and histamine (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Phytochemicals and Antioxidant Activities (1 paper), Ferroptosis and cancer prognosis (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Renal cell carcinoma treatment (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (119 citations), Physiology (118 citations), Molecular Biology (324 citations), Rheumatology (64 citations) and Biochemistry (32 citations). Chenyan Wu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Margaret Scheffler, Khemissa Bejaoui, P. Ashby, Robert H. Brown, Peter J. de Jong, David B. West, David A. Ross, James D. Cavalcoli, Sonal S. Sheth and Katherine M. Dains. Their work appears in journals such as Nature Genetics, Allergy, Pharmacological Research, Mammalian Genome and Diagnostic Pathology.

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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