Milad Mostavi

559 total citations
6 papers, 334 citations indexed

About

Milad Mostavi is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Milad Mostavi has authored 6 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 1 paper in Artificial Intelligence. Recurrent topics in Milad Mostavi's work include RNA modifications and cancer (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related molecular mechanisms research (2 papers). Milad Mostavi is often cited by papers focused on RNA modifications and cancer (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related molecular mechanisms research (2 papers). Milad Mostavi collaborates with scholars based in United States. Milad Mostavi's co-authors include Yufei Huang, Yidong Chen, Yu‐Chiao Chiu, Ricardo J. Ramirez, Aparna Gorthi, Siyuan Zheng, Hung-I Harry Chen and Jianqiu Zhang and has published in prestigious journals such as BMC Bioinformatics, Briefings in Bioinformatics and BMC Medical Genomics.

In The Last Decade

Milad Mostavi

6 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Milad Mostavi United States	6	221	106	76	49	34	6	334
Padideh Danaee United States	3	290 1.3×	106 1.0×	61 0.8×	33 0.7×	13 0.4×	5	382
Ping Luo Canada	11	249 1.1×	46 0.4×	67 0.9×	39 0.8×	48 1.4×	24	363
Safiye Çelik United States	8	146 0.7×	53 0.5×	47 0.6×	35 0.7×	35 1.0×	11	316
Fleur Jeanquartier Austria	11	94 0.4×	67 0.6×	33 0.4×	60 1.2×	35 1.0×	17	302
Chunhui Cai United States	7	139 0.6×	36 0.3×	39 0.5×	29 0.6×	27 0.8×	21	212
Margherita Francescatto Italy	10	191 0.9×	26 0.2×	49 0.6×	25 0.5×	26 0.8×	20	345
Binbin Ji China	11	151 0.7×	87 0.8×	123 1.6×	93 1.9×	15 0.4×	23	403
Mohamed Marouf Egypt	7	198 0.9×	42 0.4×	63 0.8×	12 0.2×	11 0.3×	15	351
Saman Farahmand United States	6	88 0.4×	162 1.5×	49 0.6×	133 2.7×	45 1.3×	11	308
Nimrod Rappoport Israel	7	497 2.2×	63 0.6×	128 1.7×	20 0.4×	18 0.5×	8	630

Countries citing papers authored by Milad Mostavi

Since Specialization

Citations

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

Fields of papers citing papers by Milad Mostavi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milad Mostavi

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

All Works

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6 of 6 papers shown

1.

Mostavi, Milad, Yu‐Chiao Chiu, Yidong Chen, & Yufei Huang. (2021). CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training. BMC Bioinformatics. 22(1). 244–244. 12 indexed citations

2.

Mostavi, Milad, Yu‐Chiao Chiu, Yufei Huang, & Yidong Chen. (2020). Convolutional neural network models for cancer type prediction based on gene expression. BMC Medical Genomics. 13(S5). 44–44. 147 indexed citations

3.

Mostavi, Milad, et al.. (2020). Predicting Sites of Epitranscriptome Modifications Using Unsupervised Representation Learning Based on Generative Adversarial Networks. Frontiers in Physics. 8. 13 indexed citations

4.

Ramirez, Ricardo J., et al.. (2020). Classification of Cancer Types Using Graph Convolutional Neural Networks. Frontiers in Physics. 8. 83 indexed citations

5.

Chiu, Yu‐Chiao, Hung-I Harry Chen, Aparna Gorthi, et al.. (2019). Deep learning of pharmacogenomics resources: moving towards precision oncology. Briefings in Bioinformatics. 21(6). 2066–2083. 50 indexed citations

6.

Mostavi, Milad, et al.. (2018). Deep-2'-O-Me: Predicting 2'-O-methylation sites by Convolutional Neural Networks. PubMed. 2018. 2394–2397. 29 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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