Ahui Fan

804 citations
9 papers · 357 · 2 hit papers · h-index 7

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Cancer-related molecular mechanisms research

Papers in

    • RNA modifications and cancer 3
    • Machine Learning in Bioinformatics 1
    • Cancer Immunotherapy and Biomarkers 2
    • Colorectal Cancer Treatments and Studies 1

Ahui Fan

8 papers receiving 355 citations

Ahui Fan's Hit Papers

Global burden of mental disorders in 204 countries and territories, 1990–2021: results from the global burden of disease study 2021 2025 · 16 citations
160+1+3Years since publication50100150200

Peers

Ahui Fan
Comparison fields: 5 of 63
  • Oncology 183
  • Cancer Research 90
  • Immunology 88
  • Pathology and Forensic Medicine 59
  • Molecular Biology 146
Replace Alice E. Shin with:
Alice E. Shin United States
Benno Traub Germany
Zhaoying Yao China
Tannaz Armaghany United States
Ifra Mushtaq India
Xiaonan Shen China
V. R. Rozados Argentina
Xiaolan You China
Takehiko Tasaka Japan
Adele Preaudet Australia
Ahui Fan relative to Alice E. Shin United States Alice E. Shin's profile →
Citations per field
00.5×10×20×33×
Alice E. Shin · 1×
Citations per year

Countries citing papers authored by Ahui Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ahui Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Immunotherapy in colorectal cancer: current achievements and future perspective
Hit paper breakdown →
2021247
2 202428
3 202122
4
Global burden of mental disorders in 204 countries and territories, 1990–2021: results from the global burden of disease study 2021
Hit paper breakdown →
202516
5 202216
6 202116
7 202211
8 20231
9 20250

About Ahui Fan

Ahui Fan is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 9 papers that have together received 357 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Genomics and Diagnostics (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Machine Learning in Bioinformatics (1 paper), MicroRNA in disease regulation (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Oncology (183 citations), Cancer Research (90 citations), Immunology (88 citations), Pathology and Forensic Medicine (59 citations) and Molecular Biology (146 citations). Ahui Fan has collaborated with scholars based in China, India and Poland. Frequent co-authors include Daiming Fan, Xiaodi Zhao, Yuanyuan Lu, Yongzhan Nie, Boda Wang, Xin Wang, Zhiping Yang, Hao Liu, Xiaoliang Gao and Daiming Fan. Their work appears in journals such as Frontiers in Oncology, Journal of Translational Medicine, Cancer Letters, BMC Psychiatry and Journal of Biological Chemistry.

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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