Chenyan Wu

840 citations
13 papers · 634 · h-index 8

Impact in

  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
    • Sphingolipid Metabolism and Signaling
    • Redox biology and oxidative stress
    • Lipid Membrane Structure and Behavior

Papers in

    • Single-cell and spatial transcriptomics 1
    • TGF-β signaling in diseases 1
    • Endoplasmic Reticulum Stress and Disease 3

Chenyan Wu

11 papers receiving 622 citations

Peers

Chenyan Wu
Comparison fields: 5 of 75
  • Cell Biology 135
  • Molecular Biology 344
  • Physiology 129
  • Cancer Research 71
  • Cellular and Molecular Neuroscience 84
Replace Sang Bae Lee with:
Sang Bae Lee South Korea
Benxu Cheng United States
Barbara Colombo Italy
Anser C. Azim United States
Tomonori Kaifu Japan
Rina Yamin United States
Deborah Wallace Ireland
Mei Kwan Canada
Allison Stewart United Kingdom
Pyotr A. Tyurin‐Kuzmin Russia
Chenyan Wu relative to Sang Bae Lee South Korea Sang Bae Lee's profile →
Citations per field
00.5×1.5×2.0×
Sang Bae Lee · 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

13 of 13 papers shown
#Work
1 2001218
2 2001185
3 2002102
4 202039
5 202127
6 202220
7 200216
8 201815
9 20246
10 20244
11 20222
12 20260
13 20260

About Chenyan Wu

Chenyan Wu is a scholar working on Molecular Biology, Cell Biology, Pulmonary and Respiratory Medicine, Epidemiology and Physiology, having authored 13 papers that have together received 634 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Mast cells and histamine (2 papers), Renal cell carcinoma treatment (2 papers), Single-cell and spatial transcriptomics (1 paper), Hereditary Neurological Disorders (1 paper), TGF-β signaling in diseases (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Cell Biology (135 citations), Molecular Biology (344 citations), Physiology (129 citations), Cancer Research (71 citations) and Cellular and Molecular Neuroscience (84 citations). Chenyan Wu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Robert H. Brown, Margaret Scheffler, Peter J. de Jong, Khemissa Bejaoui, P. Ashby, David B. West, David A. Ross, James D. Cavalcoli, Pieter de Jong and Katherine M. Dains. Their work appears in journals such as Nature Genetics, Pharmacological Research, Biomedicine & Pharmacotherapy, Cell Death and Disease and Journal of Bone and Mineral Research.

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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