Xi Fu

447 citations
12 papers · 236 · 1 hit paper · h-index 6

Impact in

Papers in

    • Genomics and Chromatin Dynamics 3
    • Bioinformatics and Genomic Networks 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Single-cell and spatial transcriptomics 1

Xi Fu

11 papers receiving 233 citations

Xi Fu's Hit Papers

A foundation model of transcription across human cell types 2025 · 26 citations
260Years since publication510152025

Peers

Xi Fu
Comparison fields: 5 of 52
  • Cell Biology 66
  • Physiology 17
  • Plant Science 112
  • Epidemiology 72
  • Molecular Biology 124
Replace David Broadbent with:
David Broadbent United States
Lijuan Lou China
Gabriel Talaia United States
Kaija Goodman United States
Javier Manzano‐Lopez Spain
Konstantin Tomanov Austria
Sara K. Hotton United States
Mojgan Shahriari Germany
Khyati H. Shah United States
Mariya Licheva Germany
Xi Fu relative to David Broadbent United States David Broadbent's profile →
Citations per field
00.5×2.7×
David Broadbent · 1×
Citations per year

Countries citing papers authored by Xi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2015167
2
A foundation model of transcription across human cell types
Hit paper breakdown →
202526
3 202012
4 20208
5 20208
6 20227
7 20233
8 20242
9 20251
10 20241
11 20201
12 20220

About Xi Fu

Xi Fu is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 12 papers that have together received 236 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Cancer Genomics and Diagnostics (2 papers), Congenital gastrointestinal and neural anomalies (2 papers), Bioinformatics and Genomic Networks (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Single-cell and spatial transcriptomics (1 paper), Genetic factors in colorectal cancer (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Cell Biology (66 citations), Physiology (17 citations), Plant Science (112 citations), Epidemiology (72 citations) and Molecular Biology (124 citations). Xi Fu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Caiji Gao, Liwen Jiang, Qiong Zhao, Jinbo Shen, Ming Luo, Xiaohong Zhuang, Yong Cui, Yilin He, Yonglun Zeng and Yang Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, Nature Machine Intelligence, Genome biology and Genome Research.

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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