Chung Wang

1.2k citations
34 papers · 1.0k · h-index 18

Impact in

Papers in

    • Heat shock proteins research 15
    • Protein Structure and Dynamics 5
    • Metabolism, Diabetes, and Cancer 4
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Endoplasmic Reticulum Stress and Disease 5

Chung Wang

34 papers receiving 997 citations

Peers

Chung Wang
Comparison fields: 5 of 101
  • Cell Biology 193
  • Molecular Biology 662
  • Aging 13
  • Physical and Theoretical Chemistry 58
  • Control and Systems Engineering 127
Replace Ashoka D. Polpitiya with:
Ashoka D. Polpitiya United States
Zhike Zi Germany
Huadong Liu China
Ana P. Teixeira Portugal
Wenbo Ma China
Joshua G. Dunn United States
Terry L. Davis United States
Gregg Williams United States
Keiji Uchiyama Japan
Chung Wang relative to Ashoka D. Polpitiya United States Ashoka D. Polpitiya's profile →
Citations per field
00.5×2×4×6.7×
Ashoka D. Polpitiya · 1×
Citations per year

Countries citing papers authored by Chung Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chung Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000130
2 199992
3 200887
4 201075
5 198072
6 200572
7 199150
8 200346
9 200742
10 201934
11 199230
12 199629
13 201828
14 197727
15 198426
16 199426
17 199021
18 198819
19 200016
20 200115

About Chung Wang

Chung Wang is a scholar working on Molecular Biology, Cell Biology, Immunology, Physiology and Genetics, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heat shock proteins research (15 papers), Toxin Mechanisms and Immunotoxins (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Protein Structure and Dynamics (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (3 papers), Enzyme Structure and Function (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Cell Biology (193 citations), Molecular Biology (662 citations), Aging (13 citations), Physical and Theoretical Chemistry (58 citations) and Control and Systems Engineering (127 citations). Chung Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chwan‐Deng Hsiao, Su‐Ming Hu, Elias Lazarides, Francis J. Doyle, Edward P. Gatzke, Yuh‐Ju Sun, Edward S. Meadows, Yi‐Wei Chang, Ming‐Yuan Cheng and David J. Asai. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Plant Molecular Biology and Clinical Cancer 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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