W Wang

530 citations
11 papers · 388 · h-index 8

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Ion Transport and Channel Regulation 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Ion channel regulation and function 1
    • Animal Genetics and Reproduction 2
    • Diabetes and associated disorders 1

W Wang

10 papers receiving 382 citations

Peers

W Wang
Comparison fields: 5 of 54
  • Reproductive Medicine 128
  • Nephrology 45
  • Endocrinology, Diabetes and Metabolism 64
  • Genetics 113
  • Cellular and Molecular Neuroscience 48
Replace Hena Alam with:
Hena Alam United States
Antonella Puglianiello Italy
Christine C. Quirk United States
María Clara Guida United States
Erik Disteldorf Germany
Faouzi Mâazoul Tunisia
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Melissa C Edwards Australia
Masanaga Muto Japan
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Citations per field
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Citations per year

Countries citing papers authored by W Wang

Since Specialization
Citations

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

Fields of papers citing papers by W Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1990191
2 199348
3 200045
4 200937
5 200926
6 201616
7 201615
8 20117
9
[Free fatty acids in gallbladder bile].
19952
10
The Blood Biomarkers of Thyroid Cancer
20201
11 20250

About W Wang

W Wang is a scholar working on Molecular Biology, Genetics, Surgery, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 388 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (2 papers), RNA Interference and Gene Delivery (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Poxvirus research and outbreaks (1 paper), Ion Transport and Channel Regulation (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Ion channel regulation and function (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Reproductive Medicine (128 citations), Nephrology (45 citations), Endocrinology, Diabetes and Metabolism (64 citations), Genetics (113 citations) and Cellular and Molecular Neuroscience (48 citations). W Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chon‐Hwa Tsai‐Morris, E. Buczko, Maria Dufau, Xuan Xie, Hong Ren, Hsin‐An Kao, Chyong‐Hsin Hsu, Fu‐Sung Lo, Yann‐Jinn Lee and Jan‐Gowth Chang. Their work appears in journals such as Journal of Biological Chemistry, Nephrology Dialysis Transplantation, Biotechnology Journal, Clinical Genetics and Clinical Endocrinology.

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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