Changyu Fan

7.2k total citations
8 papers, 525 citations indexed

About

Changyu Fan is a scholar working on Molecular Biology, Spectroscopy and Computer Networks and Communications. According to data from OpenAlex, Changyu Fan has authored 8 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Spectroscopy and 1 paper in Computer Networks and Communications. Recurrent topics in Changyu Fan's work include Genomics and Phylogenetic Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Bioinformatics and Genomic Networks (2 papers). Changyu Fan is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Bioinformatics and Genomic Networks (2 papers). Changyu Fan collaborates with scholars based in United States, China and United Kingdom. Changyu Fan's co-authors include Marc Vidal, David E. Hill, Tong Hao, Michael E. Cusick, Xinping Yang, Kourosh Salehi‐Ashtiani, Haiyuan Yu, Nenad Svrzikapa, Stuart Milstein and Frederick P. Roth and has published in prestigious journals such as Nature Methods, Journal of Agricultural and Food Chemistry and Genome Research.

In The Last Decade

Changyu Fan

8 papers receiving 520 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Changyu Fan United States 6 431 57 48 43 35 8 525
Piotr Kamenski Russia 18 771 1.8× 35 0.6× 15 0.3× 24 0.6× 13 0.4× 52 868
Claire M. Mulvey United Kingdom 14 595 1.4× 35 0.6× 8 0.2× 215 5.0× 21 0.6× 25 820
Stefan Imseng Switzerland 8 548 1.3× 38 0.7× 9 0.2× 167 3.9× 8 0.2× 9 649
Kaige Yan China 14 838 1.9× 98 1.7× 9 0.2× 93 2.2× 7 0.2× 24 927
Ling-Shiang Chuang United States 9 331 0.8× 115 2.0× 3 0.1× 36 0.8× 10 0.3× 13 502
Taku Kashiyama Japan 12 332 0.8× 16 0.3× 22 0.5× 141 3.3× 16 0.5× 21 468
Tomoyo Takami Japan 4 427 1.0× 42 0.7× 3 0.1× 55 1.3× 17 0.5× 6 596
Kai‐En Chen Australia 13 387 0.9× 37 0.6× 14 0.3× 265 6.2× 4 0.1× 24 546
Andy Christoforou United Kingdom 12 558 1.3× 28 0.5× 5 0.1× 135 3.1× 36 1.0× 16 712
Xiaotao Wang China 14 584 1.4× 103 1.8× 3 0.1× 24 0.6× 15 0.4× 32 691

Countries citing papers authored by Changyu Fan

Since Specialization
Citations

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

Fields of papers citing papers by Changyu Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyu Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Changyu Fan. A scholar is included among the top collaborators of Changyu Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changyu Fan. Changyu Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Fan, Changyu, et al.. (2023). Chlorogenic Acid Attenuates Hepatic Steatosis by Suppressing ZFP30. Journal of Agricultural and Food Chemistry. 72(1). 245–258. 1 indexed citations
2.
Fan, Changyu, et al.. (2022). Research on the MEG of Depression Patients Based on Multivariate Transfer Entropy. Computational Intelligence and Neuroscience. 2022. 1–8. 3 indexed citations
3.
Hemming, Matthew L., Changyu Fan, Chandrajit P. Raut, et al.. (2020). Oncogenic Gene-Expression Programs in Leiomyosarcoma and Characterization of Conventional, Inflammatory, and Uterogenic Subtypes. Molecular Cancer Research. 18(9). 1302–1314. 22 indexed citations
4.
Ghamsari, Lila, Balaji Santhanam, Yun Shen, et al.. (2011). Genome-wide functional annotation and structural verification of metabolic ORFeome of Chlamydomonas reinhardtii. BMC Genomics. 12(S1). S4–S4. 27 indexed citations
5.
Yu, Haiyuan, Stanley Tam, Fana Gebreab, et al.. (2011). Next-generation sequencing to generate interactome datasets. Nature Methods. 8(6). 478–480. 188 indexed citations
6.
Salehi‐Ashtiani, Kourosh, Chenwei Lin, Tong Hao, et al.. (2009). Large-scale RACE approach for proactive experimental definition of C. elegans ORFeome. Genome Research. 19(12). 2334–2342. 12 indexed citations
7.
Manichaikul, Ani, Lila Ghamsari, Erik Hom, et al.. (2009). Metabolic network analysis integrated with transcript verification for sequenced genomes. Nature Methods. 6(8). 589–592. 70 indexed citations
8.
Lamesch, Philippe, Ning Li, Stuart Milstein, et al.. (2007). hORFeome v3.1: A resource of human open reading frames representing over 10,000 human genes. Genomics. 89(3). 307–315. 202 indexed citations

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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