Feihu Bai

837 citations
47 papers · 639 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Circular RNAs in diseases

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Gut microbiota and health 3
    • Angiogenesis and VEGF in Cancer 3
    • Epigenetics and DNA Methylation 3

Feihu Bai

44 papers receiving 629 citations

Peers

Feihu Bai
Comparison fields: 5 of 80
  • Cancer Research 155
  • Molecular Biology 328
  • Oncology 113
  • Immunology and Allergy 16
  • Hepatology 20
Replace Xianqing Jin with:
Xianqing Jin China
Jong‐Sun Choi South Korea
Chang‐Chieh Wu Taiwan
Tao Pan China
Heidi Rasmussen Norway
Hongwei Tang China
Melanie Rothley Germany
Zhenjia Yu China
Satomi Yoneyama Japan
Jin Jiang China
Feihu Bai relative to Xianqing Jin China Xianqing Jin's profile →
Citations per field
00.5×3.3×
Xianqing Jin · 1×
Citations per year

Countries citing papers authored by Feihu Bai

Since Specialization
Citations

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

Fields of papers citing papers by Feihu Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 200750
3 201636
4 200835
5 200832
6 200732
7 200630
8 200727
9 201824
10 200722
11 202322
12 200621
13 202220
14 201818
15 201817
16 200516
17 201915
18 201814
19 201512
20
Prognostic value and therapeutic implications of ZHX family member expression in human gastric cancer.
202011

About Feihu Bai

Feihu Bai is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Epidemiology, having authored 47 papers that have together received 639 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (4 papers), MicroRNA in disease regulation (4 papers), Glycosylation and Glycoproteins Research (3 papers), Gut microbiota and health (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (155 citations), Molecular Biology (328 citations), Oncology (113 citations), Immunology and Allergy (16 citations) and Hepatology (20 citations). Feihu Bai has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Daiming Fan, Kaichun Wu, Yongzhan Nie, Huihong Zhai, Yanjie You, Yuanyuan Lu, Dekui Zhang, Shengjuan Hu, Yongquan Shi and Huahong Xie. Their work appears in journals such as Digestive Diseases and Sciences, Cancer Letters, International Journal of Infectious Diseases, Frontiers in Microbiology and Lara D. Veeken.

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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