Xinhui Fu

1.7k citations
44 papers · 1.4k · h-index 22

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Colorectal Cancer Screening and Detection

Papers in

    • Colorectal Cancer Treatments and Studies 8
    • Colorectal Cancer Screening and Detection 5
    • Cancer-related Molecular Pathways 3
    • Genetic factors in colorectal cancer 9

Xinhui Fu

41 papers receiving 1.4k citations

Peers

Xinhui Fu
Comparison fields: 5 of 97
  • Cancer Research 404
  • Oncology 335
  • Molecular Biology 765
  • Hepatology 69
  • Pathology and Forensic Medicine 151
Replace C C Bancroft with:
C C Bancroft United States
Hengjun Gao China
Jin‐Sook Jeong South Korea
Yumi Yokoyama United States
Thaddeus D. Allen China
Jianhong Zuo China
Ying‐Hui Zhu China
João Agostinho Machado‐Neto Brazil
Michael J. Birrer United States
Maria Colombino Italy
Xinhui Fu relative to C C Bancroft United States C C Bancroft's profile →
Citations per field
00.5×5×10.1×
C C Bancroft · 1×
Citations per year

Countries citing papers authored by Xinhui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xinhui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009300
2 2010103
3 200980
4 201779
5 201165
6 201062
7 202059
8 200449
9 201147
10 200545
11 201044
12 201542
13 201239
14 200938
15 201836
16 201434
17 202031
18 200828
19 201825
20 201223

About Xinhui Fu

Xinhui Fu is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Molecular Biology and Biotechnology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (9 papers), Colorectal Cancer Treatments and Studies (8 papers), Colorectal Cancer Screening and Detection (5 papers), Melanoma and MAPK Pathways (4 papers), Cancer-related Molecular Pathways (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (404 citations), Oncology (335 citations), Molecular Biology (765 citations), Hepatology (69 citations) and Pathology and Forensic Medicine (151 citations). Xinhui Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaohui Huang, Hao‐Xiang Tan, Jingsong Chen, Jiong Bi, Xilin Chen, Lianzhou Chen, Wen Li, Liangqi Cao, Qian Wang and Long‐juan Zhang. Their work appears in journals such as International Journal of Cancer, BMC Cancer, Frontiers in Oncology, Free Radical Biology and Medicine and Plant Science.

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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