Yue Fan

838 citations
35 papers · 484 indexed · 1 hit paper · h-index 12
Topics
Gene expression and cancer classification (8 papers)Bioinformatics and Genomic Networks (5 papers)Single-cell and spatial transcriptomics (4 papers)

In The Last Decade

Yue Fan

34 papers receiving 473 citations

Hit Papers

Unveiling inflammatory and prehypertrophic cell populatio...20242026202520241020304050

Peers

Yue Fan
Comparison fields: 5 of 109
  • Molecular Biology 251
  • Oncology 73
  • Cancer Research 71
  • Artificial Intelligence 56
  • Pulmonary and Respiratory Medicine 54
Replace Gabriela V. Cohen Freue with:
Gabriela V. Cohen Freue Canada
Marco Chierici Italy
Wolfgang Hulla Austria
Lili Shi China
Dušan Popović Serbia
Gökmen Altay Türkiye
Markus Ruschhaupt Germany
Panpan Ye China
Miguel Carmona United Kingdom
Yue Fan relative to Gabriela V. Cohen Freue Canada Gabriela V. Cohen Freue's profile →
Citations per field
00.5×
Gabriela V. Cohen Freue · 1×
Citations per year

Countries citing papers authored by Yue Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yue Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Fan. A scholar is included among the top collaborators of Yue 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 Yue Fan. Yue Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2
Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integrationbreakdown →
58
3 5
4 8
5 79
6 45
7 12
8 3
9 12
10 1
11 59
12 12
13 1
14 12
15 12
16 10
17
Regularization Techniques for Machine Learning on Graphs and Networks with Biological Applications
3
18 60
19 1
20 1

About Yue Fan

Yue Fan is a scholar working on Cancer Research, Biophysics and Molecular Biology, having authored 35 papers that have together received 484 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Cancer Research (71 citations), Molecular Biology (251 citations) and Rheumatology (54 citations). Yue Fan has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Shiquan Sun, Thomas Brendan Murphy, R. William G. Watson, John M. Fitzpatrick, Qinke Peng, Lorraine Brennan, Jennifer C. Byrne, Vimala Balakrishnan, Yanmin Xia and Wenchen Wang. Their work appears in journals such as Bioinformatics, Journal of Allergy and Clinical Immunology and Genome biology.

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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