Fatemeh Vafaee

2.0k total citations
66 papers, 1.2k citations indexed

About

Fatemeh Vafaee is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Fatemeh Vafaee has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 17 papers in Cancer Research and 14 papers in Computational Theory and Mathematics. Recurrent topics in Fatemeh Vafaee's work include Bioinformatics and Genomic Networks (15 papers), Evolutionary Algorithms and Applications (8 papers) and Gene expression and cancer classification (8 papers). Fatemeh Vafaee is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Evolutionary Algorithms and Applications (8 papers) and Gene expression and cancer classification (8 papers). Fatemeh Vafaee collaborates with scholars based in Australia, United States and Canada. Fatemeh Vafaee's co-authors include Michael E. Buckland, Catherine M. Suter, Michael Barnett, Heidi Beadnall, Saeideh Ebrahimkhani, Peter Nelson, Paul Young, Viive M. Howell, Simon Hawke and Suzy S. J. Hur and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Fatemeh Vafaee

62 papers receiving 1.2k citations

Peers

Fatemeh Vafaee
Yu‐Chiao Chiu United States
Zhuqing Jia China
Yufang Zhang China
Jianhua Xuan United States
Emek Demir United States
Esa Pitkänen Finland
Konstantinos Sidiropoulos United Kingdom
Aristotelis Chatziioannou Greece
Rebecka Jörnsten Sweden
Yu‐Chiao Chiu United States
Fatemeh Vafaee
Citations per year, relative to Fatemeh Vafaee Fatemeh Vafaee (= 1×) peers Yu‐Chiao Chiu

Countries citing papers authored by Fatemeh Vafaee

Since Specialization
Citations

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

Fields of papers citing papers by Fatemeh Vafaee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatemeh Vafaee

This figure shows the co-authorship network connecting the top 25 collaborators of Fatemeh Vafaee. A scholar is included among the top collaborators of Fatemeh Vafaee 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 Fatemeh Vafaee. Fatemeh Vafaee 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
1.
Moridani, Mohammad Karimi, Jason Behary, Azadeh Safarchi, et al.. (2025). Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction. Briefings in Bioinformatics. 26(2). 7 indexed citations
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Ahmadzada, Tamkin, Fatemeh Vafaee, Glen Reid, et al.. (2023). Small and Large Extracellular Vesicles Derived from Pleural Mesothelioma Cell Lines Offer Biomarker Potential. Cancers. 15(8). 2364–2364. 8 indexed citations
5.
Zandavi, Seid Miad, et al.. (2023). Pan-Cancer Analysis Reveals Functional Similarity of Three lncRNAs across Multiple Tumors. International Journal of Molecular Sciences. 24(5). 4796–4796. 1 indexed citations
6.
Vafaee, Fatemeh, et al.. (2023). An introduction to representation learning for single-cell data analysis. Cell Reports Methods. 3(8). 100547–100547. 7 indexed citations
7.
Sowmya, Arcot, et al.. (2022). Blood-based transcriptomic signature panel identification for cancer diagnosis: benchmarking of feature extraction methods. Briefings in Bioinformatics. 23(5). 7 indexed citations
8.
Koch, Forrest, et al.. (2022). dRNASb: a systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data. Microbial Genomics. 8(9). 1 indexed citations
9.
Ma, Yafeng, Kevin J. Spring, Fatemeh Vafaee, et al.. (2022). Harnessing Liquid Biopsies to Guide Immune Checkpoint Inhibitor Therapy. Cancers. 14(7). 1669–1669. 11 indexed citations
10.
Zandavi, Seid Miad, et al.. (2022). Disentangling single-cell omics representation with a power spectral density-based feature extraction. Nucleic Acids Research. 50(10). 5482–5492. 4 indexed citations
11.
Batarseh, Amani, Fatemeh Vafaee, Elham Hosseini‐Beheshti, et al.. (2022). Investigation of Plasma-Derived Lipidome Profiles in Experimental Cerebral Malaria in a Mouse Model Study. International Journal of Molecular Sciences. 24(1). 501–501. 1 indexed citations
12.
Koch, Forrest, Gavin J Sutton, Irina Voineagu, & Fatemeh Vafaee. (2021). Supervised application of internal validation measures to benchmark dimensionality reduction methods in scRNA-seq data. Briefings in Bioinformatics. 22(6). 15 indexed citations
13.
Safarchi, Azadeh, et al.. (2021). An update on novel approaches for diagnosis and treatment of SARS-CoV-2 infection. Cell & Bioscience. 11(1). 164–164. 14 indexed citations
14.
Azad, AKM, et al.. (2020). A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond. Briefings in Bioinformatics. 22(3). 12 indexed citations
15.
Ebrahimkhani, Saeideh, Fatemeh Vafaee, Susannah Hallal, et al.. (2018). Deep sequencing of circulating exosomal microRNA allows non-invasive glioblastoma diagnosis. npj Precision Oncology. 2(1). 28–28. 118 indexed citations
16.
Chaudhuri, Rima, James R. Krycer, Daniel J. Fazakerley, et al.. (2018). The transcriptional response to oxidative stress is part of, but not sufficient for, insulin resistance in adipocytes. Scientific Reports. 8(1). 1774–1774. 11 indexed citations
17.
Krycer, James R., Rima Chaudhuri, Pengyi Yang, et al.. (2016). Unraveling Kinase Activation Dynamics Using Kinase-Substrate Relationships from Temporal Large-Scale Phosphoproteomics Studies. PLoS ONE. 11(6). e0157763–e0157763. 11 indexed citations
18.
Krycer, James R., Rima Chaudhuri, Pengyi Yang, et al.. (2016). Unravelling signal coordination from large scale phosphorylation kinetic data. Max Planck Digital Library. 1 indexed citations
19.
Vafaee, Fatemeh, et al.. (2015). Unraveling the mechanistic complexity of Alzheimer's disease through systems biology. Alzheimer s & Dementia. 12(6). 708–718. 20 indexed citations
20.
Khosravi, Elham, et al.. (2007). Hearing screening in the elderly and evaluating the need for hearing aid. SHILAP Revista de lepidopterología. 16(2). 38–45.

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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