Xiaohui L. Wang

1.2k citations
10 papers · 859 · h-index 9

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 4
    • Peroxisome Proliferator-Activated Receptors 2
    • Retinoids in leukemia and cellular processes 2
    • Genomics and Chromatin Dynamics 2
    • Cancer, Hypoxia, and Metabolism 2

Xiaohui L. Wang

10 papers receiving 820 citations

Peers

Xiaohui L. Wang
Comparison fields: 5 of 85
  • Biochemistry 167
  • Sensory Systems 78
  • Pathology and Forensic Medicine 212
  • Biological Psychiatry 27
  • Endocrinology, Diabetes and Metabolism 167
Replace Yuko Muto with:
Yuko Muto Japan
Hongwei Si China
Yaoyao Jia South Korea
Si Young Cho South Korea
Cécile Ingueneau France
Mohammad Khalili Iran
Ester Casanova Spain
Wonchung Lim South Korea
Joanna D. Wardyn United Kingdom
So Min Lee South Korea
Xiaohui L. Wang relative to Yuko Muto Japan Yuko Muto's profile →
Citations per field
00.5×6.8×
Yuko Muto · 1×
Citations per year

Countries citing papers authored by Xiaohui L. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui L. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2002427
2 2009105
3 201173
4 200967
5 200665
6 200438
7 200437
8 200327
9 200818
10 20092

About Xiaohui L. Wang

Xiaohui L. Wang is a scholar working on Molecular Biology, Cancer Research, Surgery, Physiology and Genetics, having authored 10 papers that have together received 859 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Estrogen and related hormone effects (2 papers), Retinoids in leukemia and cellular processes (2 papers), interferon and immune responses (2 papers), Genomics and Chromatin Dynamics (2 papers), Pancreatic function and diabetes (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Biochemistry (167 citations), Sensory Systems (78 citations), Pathology and Forensic Medicine (212 citations), Biological Psychiatry (27 citations) and Endocrinology, Diabetes and Metabolism (167 citations). Xiaohui L. Wang has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Daryl K. Granner, Robert K. Hall, Mary Waltner‐Law, Brian K. Law, Masao Nawano, Fuxin Shi, Yen‐Fu Cheng, Albert S.B. Edge, Birger Herzog and Kevin Y. Lee. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Molecular Endocrinology and Cancer Letters.

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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