Meihui Pan

1.0k citations
15 papers · 795 · h-index 11

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Ubiquitin and proteasome pathways 2
    • Lipid metabolism and biosynthesis 4
    • Eicosanoids and Hypertension Pharmacology 2

Meihui Pan

13 papers receiving 773 citations

Peers

Meihui Pan
Comparison fields: 5 of 65
  • Biochemistry 186
  • Endocrinology, Diabetes and Metabolism 173
  • Cell Biology 181
  • Epidemiology 233
  • Nutrition and Dietetics 92
Replace Jianyang Luo with:
Jianyang Luo United States
Ian J. Cartwright United Kingdom
Luke J. Engelking United States
Véronique Fauveau France
Ryoko Yada Japan
Elena Boudyguina United States
Claudia Anzivino Italy
S. S. Chernick United States
To Y. Hui United States
Javier Vargas‐Castrillón Spain
Meihui Pan relative to Jianyang Luo United States Jianyang Luo's profile →
Citations per field
00.5×1.5×2.3×
Jianyang Luo · 1×
Citations per year

Countries citing papers authored by Meihui Pan

Since Specialization
Citations

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

Fields of papers citing papers by Meihui Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2004225
2 2001159
3 2008108
4 200584
5 200259
6 201236
7 200232
8 200224
9 200021
10 200018
11 200418
12 20178
13 20163
14 19980
15 20250

About Meihui Pan

Meihui Pan is a scholar working on Molecular Biology, Biochemistry, Epidemiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 15 papers that have together received 795 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cancer, Lipids, and Metabolism (4 papers), Lipid metabolism and biosynthesis (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Fatty Acid Research and Health (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Biochemistry (186 citations), Endocrinology, Diabetes and Metabolism (173 citations), Cell Biology (181 citations), Epidemiology (233 citations) and Nutrition and Dietetics (92 citations). Meihui Pan has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Edward A. Fisher, Kevin Jon Williams, Henry N. Ginsberg, Arthur I. Cederbaum, Yuanli Zhang, Xinye Wu, Janet D. Sparks, Haris Jamil, Xiaoli Chen and Hongxing Wang. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Journal of Clinical Investigation, Molecular Pharmaceutics and Journal of Medicinal Chemistry.

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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