F. M. Meng

493 citations
11 papers · 201 · h-index 7

Impact in

Papers in

    • Mitochondrial Function and Pathology 2
    • ATP Synthase and ATPases Research 1
    • Epigenetics and DNA Methylation 1
    • Autophagy in Disease and Therapy 3

F. M. Meng

9 papers receiving 199 citations

Peers

F. M. Meng
Comparison fields: 5 of 60
  • Molecular Biology 114
  • Geriatrics and Gerontology 5
  • Cancer Research 18
  • Oncology 30
  • Reproductive Medicine 7
Replace Xirun Zheng with:
Xirun Zheng China
Joan Choo Singapore
Fen Luo China
Being‐Whey Wang Taiwan
Yasuhiro Mizushima Japan
Francesca Scatozza Italy
Makoto Sugimori Japan
Wanggang Zhang China
Sasha Smolgovsky United States
F. M. Meng relative to Xirun Zheng China Xirun Zheng's profile →
Citations per field
00.5×1.5×2.1×
Xirun Zheng · 1×
Citations per year

Countries citing papers authored by F. M. Meng

Since Specialization
Citations

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

Fields of papers citing papers by F. M. Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. M. Meng. 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 F. M. Meng. The network helps show where F. M. Meng may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201361
2 201332
3 202128
4 202025
5 202220
6 202015
7 202113
8
[Effects of docosahexaenoic acid on cell apoptosis, invasion and migration of cervical cancer cells in vitro].
20166
9 20251
10 20120
11 20250

About F. M. Meng

F. M. Meng is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Surgery and Pathology and Forensic Medicine, having authored 11 papers that have together received 201 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Mitochondrial Function and Pathology (2 papers), Cardiac Fibrosis and Remodeling (2 papers), ATP Synthase and ATPases Research (1 paper), Epigenetics and DNA Methylation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Mosquito-borne diseases and control (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Molecular Biology (114 citations), Geriatrics and Gerontology (5 citations), Cancer Research (18 citations), Oncology (30 citations) and Reproductive Medicine (7 citations). F. M. Meng has collaborated with scholars based in China and United States. Frequent co-authors include Molly Brewer, Guohui Sun, Yang Yu, Ying Li, Yanhong Yu, Guohai Su, Mei Zhong, Hui‐Hui Wu, Jiamin Chen and Tingting Meng. Their work appears in journals such as International Journal of Biological Sciences, Biochemical and Biophysical Research Communications, International Journal of Oncology, Frontiers in Physiology and Frontiers in Immunology.

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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