Congwu Chi

782 citations
13 papers · 433 · h-index 11

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism

Papers in

    • Congenital heart defects research 5
    • Pluripotent Stem Cells Research 3
    • Developmental Biology and Gene Regulation 2
    • Autophagy in Disease and Therapy 3

Congwu Chi

13 papers receiving 428 citations

Peers

Congwu Chi
Comparison fields: 5 of 66
  • Aging 38
  • Physiology 34
  • Immunology and Allergy 40
  • Cell Biology 76
  • Molecular Biology 229
Replace Tamara Chessa with:
Tamara Chessa United Kingdom
João Vasco Ferreira Portugal
Anke H.M. van Vugt Netherlands
Svetlana Gershburg United States
Seiji Ura Japan
Nisha Narayan Australia
Armin Akhavan United States
Jarred M. Whitlock United States
Elisa B. Frankel United States
Laura Andrés‐Delgado Spain
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Citations per field
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Tamara Chessa · 1×
Citations per year

Countries citing papers authored by Congwu Chi

Since Specialization
Citations

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

Fields of papers citing papers by Congwu Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2018102
2 200881
3 201059
4 201044
5 201633
6 202026
7 202021
8 202219
9 202015
10 202312
11 202312
12 20235
13 20244

About Congwu Chi

Congwu Chi is a scholar working on Molecular Biology, Epidemiology, Genetics, Surgery and Cell Biology, having authored 13 papers that have together received 433 indexed citations. Recurring topics across this work include Congenital heart defects research (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Pluripotent Stem Cells Research (3 papers), Autophagy in Disease and Therapy (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cellular transport and secretion (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Aging (38 citations), Physiology (34 citations), Immunology and Allergy (40 citations), Cell Biology (76 citations) and Molecular Biology (229 citations). Congwu Chi has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Yuan Zhuang, Kunhua Song, Min Han, Lei Tian, Tian Xu, Mei Han, Tianhong Xu, Xiaohui Wu, Andrew S. Riching and Hongyan Xu. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, International Immunology, Circulation, Cell Reports and Pharmaceuticals.

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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