Ke Fu

1.9k citations
41 papers · 1.4k · 1 hit paper · h-index 19

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Pharmacological Effects of Natural Compounds
    • Drug-Induced Hepatotoxicity and Protection

Papers in

Ke Fu

40 papers receiving 1.4k citations

Ke Fu's Hit Papers

Macrophage Polarization and Its Role in Liver Disease 2021 · 432 citations
4320+1+3Years since publication100200300400

Peers

Ke Fu
Comparison fields: 5 of 117
  • Hepatology 143
  • Pharmacology 129
  • Complementary and alternative medicine 118
  • Immunology 197
  • Cancer Research 129
Replace Cheng Ma with:
Cheng Ma China
Lihong Gong China
Xin Han China
Yong Jin China
Xingtao Zhao China
Shuang Jiang China
Jinhao Zeng China
Chunfeng Lu China
Tao Yang China
Ke Fu relative to Cheng Ma China Cheng Ma's profile →
Citations per field
00.5×1.7×
Cheng Ma · 1×
Citations per year

Countries citing papers authored by Ke Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ke Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Macrophage Polarization and Its Role in Liver Disease
Hit paper breakdown →
2021432
2 202388
3 202271
4 202363
5 202356
6 202152
7 202050
8 202247
9 202244
10 202338
11 202137
12 202135
13 202234
14 202029
15 202228
16 202327
17 202227
18 202125
19 202221
20 202218

About Ke Fu

Ke Fu is a scholar working on Molecular Biology, Epidemiology, Complementary and alternative medicine, Pharmacology and Hepatology, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Liver physiology and pathology (7 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Traditional Chinese Medicine Analysis (5 papers), Neurological Disease Mechanisms and Treatments (4 papers), Liver Disease and Transplantation (4 papers), Phytochemistry and Biological Activities (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Hepatology (143 citations), Pharmacology (129 citations), Complementary and alternative medicine (118 citations), Immunology (197 citations) and Cancer Research (129 citations). Ke Fu has collaborated with scholars based in China and Thailand. Frequent co-authors include Cheng Ma, Lihong Gong, Honglin Zhou, Yafang Zhang, Yunxia Li, Yunxia Li, Yuqin Guo, Cheng Wang, Cheng Wang and Cheng Peng. Their work appears in journals such as Biomedicine & Pharmacotherapy, Frontiers in Pharmacology, Journal of Ethnopharmacology, Pharmacological Research and Evidence-based Complementary and Alternative Medicine.

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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