Bowman Miao

906 citations
9 papers · 699 · h-index 8

Impact in

  • Surgery top 10%
    • Lipoproteins and Cardiovascular Health
    • Cholesterol and Lipid Metabolism
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Peroxisome Proliferator-Activated Receptors 6
    • Receptor Mechanisms and Signaling 2
    • Lipoproteins and Cardiovascular Health 3
    • Cholesterol and Lipid Metabolism 3

Bowman Miao

9 papers receiving 685 citations

Peers

Bowman Miao
Comparison fields: 5 of 61
  • Surgery 426
  • Oncology 262
  • Cancer Research 90
  • Molecular Biology 299
  • Endocrinology, Diabetes and Metabolism 67
Replace Naohito Uchida with:
Naohito Uchida Japan
Chiara Ricci Italy
Dojun Yoon South Korea
Hisataka Shikama Japan
Yanqiao Zhang China
Stephanie Mott United States
Monika Lewińska Denmark
Hanny Wassef Canada
Henry Pan United States
Federica Basso United States
Bowman Miao relative to Naohito Uchida Japan Naohito Uchida's profile →
Citations per field
00.5×1.5×1.8×
Naohito Uchida · 1×
Citations per year

Countries citing papers authored by Bowman Miao

Since Specialization
Citations

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

Fields of papers citing papers by Bowman Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2002172
2 2004153
3 2014103
4 2012100
5 200354
6 201054
7 200236
8 200825
9 20022

About Bowman Miao

Bowman Miao is a scholar working on Molecular Biology, Surgery, Oncology, Computational Theory and Mathematics and Physiology, having authored 9 papers that have together received 699 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Lipoproteins and Cardiovascular Health (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cholesterol and Lipid Metabolism (3 papers), Computational Drug Discovery Methods (2 papers), Adipose Tissue and Metabolism (2 papers), Receptor Mechanisms and Signaling (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Surgery (426 citations), Oncology (262 citations), Cancer Research (90 citations), Molecular Biology (299 citations) and Endocrinology, Diabetes and Metabolism (67 citations). Bowman Miao has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Ranjan Mukherjee, Peter R. Young, Altaf Kassam, Jeffrey T. Billheimer, Todd G. Kirchgessner, Rex A. Parker, Susan Carr Zondlo, Vinayak Hosagrahara, Debra Cromley and Timothy C. Burn. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry, Journal of Lipid Research, The Journal of Steroid Biochemistry and Molecular Biology and Gene.

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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