Fangfang Mo

50 papers receiving 1.5k citations

Peers

Fangfang Mo
Comparison fields: 5 of 111
  • Geriatrics and Gerontology 50
  • Complementary and alternative medicine 112
  • Biological Psychiatry 33
  • Pharmacology 107
  • Biochemistry 69
Replace Mohammad Reza Alipour with:
Mohammad Reza Alipour Iran
Ding Yuan China
Akhileshwar Namani China
Ruyuan Zhu China
Guangjian Jiang China
Lei Du China
Lin Luo China
Dandan Zhao China
Mona F. Schaalan Egypt
José Augusto Nogueira‐Machado Brazil
Fangfang Mo relative to Mohammad Reza Alipour Iran Mohammad Reza Alipour's profile →
Citations per field
00.5×1.5×
Mohammad Reza Alipour · 1×
Citations per year

Countries citing papers authored by Fangfang Mo

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019130
2 2017111
3 2019109
4 201593
5 202168
6 201767
7 201967
8 201656
9 201755
10 202047
11 201744
12 201743
13 201742
14 201837
15 201736
16 201734
17 202134
18 202334
19 202034
20 201832

About Fangfang Mo

Fangfang Mo is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Pharmacology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Metabolism, Diabetes, and Cancer (4 papers), Bone Metabolism and Diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Ginseng Biological Effects and Applications (4 papers), MicroRNA in disease regulation (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Geriatrics and Gerontology (50 citations), Complementary and alternative medicine (112 citations), Biological Psychiatry (33 citations), Pharmacology (107 citations) and Biochemistry (69 citations). Fangfang Mo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Dongwei Zhang, Gao S, Dandan Zhao, Ruyuan Zhu, Beibei Chen, Guangjian Jiang, Na Yu, Yimiao Tian, Tian An and Lili Wang. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Pharmacology, Evidence-based Complementary and Alternative Medicine, Cellular Physiology and Biochemistry and Oxidative Medicine and Cellular Longevity.

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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