Feifei Guo

4.6k citations
95 papers · 2.7k · 1 hit paper · h-index 22

Impact in

Papers in

    • Bioinformatics and Genomic Networks 8
    • Genomics and Phylogenetic Studies 6
    • Signaling Pathways in Disease 6
    • Pharmacological Effects of Natural Compounds 7

Feifei Guo

92 papers receiving 2.7k citations

Hit Papers

BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine 2016 · 639 citations
6390+3+6Years since publication200400600

Peers

Feifei Guo
Comparison fields: 5 of 131
  • Pharmacology 365
  • Complementary and alternative medicine 285
  • Molecular Biology 1.5k
  • Biological Psychiatry 54
  • Hepatology 166
Replace Xianglu Rong with:
Xianglu Rong China
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Shi-Bing Su China
Zhaofang Bai China
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Pallab Maity Germany
Feifei Guo relative to Xianglu Rong China Xianglu Rong's profile →
Citations per field
00.5×1.5×1.9×
Xianglu Rong · 1×
Citations per year

Countries citing papers authored by Feifei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BATMAN-TCM: a Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine
Hit paper breakdown →
2016639
2 2017200
3 2016184
4 2017173
5 2018170
6 201685
7 201776
8 201776
9 201671
10 201557
11 201452
12 202151
13 202042
14 201636
15 202034
16 202132
17 202032
18 202131
19 202128
20 201328

About Feifei Guo

Feifei Guo is a scholar working on Molecular Biology, Pharmacology, Oncology, Immunology and Cardiology and Cardiovascular Medicine, having authored 95 papers that have together received 2.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Bioinformatics and Genomic Networks (8 papers), Computational Drug Discovery Methods (8 papers), Pharmacological Effects of Natural Compounds (7 papers), Genomics and Phylogenetic Studies (6 papers), Traditional Chinese Medicine Analysis (6 papers), Cardiac Fibrosis and Remodeling (6 papers) and Signaling Pathways in Disease (6 papers). The work is most often cited by research in Pharmacology (365 citations), Complementary and alternative medicine (285 citations), Molecular Biology (1.5k citations), Biological Psychiatry (54 citations) and Hepatology (166 citations). Feifei Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fuchu He, Zhongyang Liu, Dong Li, Lihong Diao, Ding Shi, Longxian Lv, Daiqiong Fang, Jiangyong Gu, Lanjuan Li and Xinlei Zhang. Their work appears in journals such as Scientific Reports, Frontiers in Pharmacology, Journal of Proteome Research, Biomedicine & Pharmacotherapy 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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