Mythreye Venkatesan

631 total citations · 1 hit paper
16 papers, 326 citations indexed

About

Mythreye Venkatesan is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Mythreye Venkatesan has authored 16 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Mythreye Venkatesan's work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Computational Drug Discovery Methods (3 papers). Mythreye Venkatesan is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Computational Drug Discovery Methods (3 papers). Mythreye Venkatesan collaborates with scholars based in United States, Netherlands and India. Mythreye Venkatesan's co-authors include Ahmet F. Coskun, David Frakes, Garry P. Nolan, Christian M. Schürch, Justin Ryan, Thomas Hu, Jason H. Moore, Shuangyi Cai, Aditi Kumar and Jeremy J. Heit and has published in prestigious journals such as Bioinformatics, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

Mythreye Venkatesan

14 papers receiving 312 citations

Hit Papers

Virtual and augmented reality for biomedical applications 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Virtual and augmented reality for biomedical applications
    2021 168 citations Mythreye Venkatesan, Justin Ryan et al. Cell Reports Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mythreye Venkatesan United States 7 75 64 61 54 47 16 326
J. Weston Hughes United States 12 38 0.5× 70 1.1× 50 0.8× 27 0.5× 36 0.8× 21 486
Lilian de Greef United States 7 65 0.9× 19 0.3× 55 0.9× 17 0.3× 25 0.5× 9 301
Sara Colantonio Italy 12 161 2.1× 64 1.0× 17 0.3× 34 0.6× 27 0.6× 75 508
William Burns United Kingdom 7 58 0.8× 30 0.5× 11 0.2× 14 0.3× 21 0.4× 24 201
Steven Senger United States 9 72 1.0× 57 0.9× 21 0.3× 66 1.2× 13 0.3× 35 302
Sorayya Rezayi Iran 12 216 2.9× 68 1.1× 16 0.3× 38 0.7× 19 0.4× 45 659
R. Nazim Khan Australia 13 21 0.3× 64 1.0× 12 0.2× 135 2.5× 26 0.6× 54 506
Mohamed Ben Ammar Tunisia 11 52 0.7× 43 0.7× 18 0.3× 39 0.7× 5 0.1× 54 484
Soheila Saeedi Iran 12 210 2.8× 56 0.9× 14 0.2× 22 0.4× 18 0.4× 37 616
Yubo Tan China 12 84 1.1× 24 0.4× 8 0.1× 70 1.3× 15 0.3× 48 472

Countries citing papers authored by Mythreye Venkatesan

Since Specialization
Citations

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

Fields of papers citing papers by Mythreye Venkatesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mythreye Venkatesan

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

All Works

16 of 16 papers shown
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DuBose, Joseph J., Mythreye Venkatesan, Benjamin W. Starnes, et al.. (2024). Using machine learning to predict outcomes of patients with blunt traumatic aortic injuries. The Journal of Trauma: Injury, Infection, and Critical Care. 97(2). 258–265. 2 indexed citations
5.
Choi, Hyun‐Jun, et al.. (2024). KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models. Bioinformatics. 40(6). 24 indexed citations
6.
Orlenko, Alena, Mythreye Venkatesan, Li Shen, et al.. (2024). Biologically Enhanced Machine Learning Model to uncover Novel Gene-Drug Targets for Alzheimer’s Disease. PubMed. 30. 441–456. 1 indexed citations
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Moore, Jason H., Nicholas P. Tatonetti, Dan Theodorescu, et al.. (2023). SynTwin: A graph-based approach for predicting clinical outcomes using digital twins derived from synthetic patients. PubMed. 29. 96–107. 9 indexed citations
8.
Romano, Joseph D., Rachit Kumar, Mythreye Venkatesan, et al.. (2023). The Alzheimer’s Knowledge Base: A Knowledge Graph for Alzheimer Disease Research. Journal of Medical Internet Research. 26. e46777–e46777. 18 indexed citations
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Venkatesan, Mythreye, Fang Zhou, Thomas Hu, et al.. (2023). Spatial subcellular organelle networks in single cells. Scientific Reports. 13(1). 5374–5374. 7 indexed citations
10.
Cai, Shuangyi, Thomas Hu, Mythreye Venkatesan, et al.. (2022). Multiplexed protein profiling reveals spatial subcellular signaling networks. iScience. 25(9). 104980–104980. 2 indexed citations
11.
Venkatesan, Mythreye, et al.. (2022). Spatial subcellular organelle networks in single cells. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
Venkatesan, Mythreye, Justin Ryan, Christian M. Schürch, et al.. (2021). Virtual and augmented reality for biomedical applications. Cell Reports Medicine. 2(7). 100348–100348. 168 indexed citations breakdown →
13.
Venkatesan, Mythreye, et al.. (2020). DeBAM: Decoder-Based Approximate Multiplier for Low Power Applications. IEEE Embedded Systems Letters. 13(4). 174–177. 20 indexed citations
14.
Allam, Mayar, Shuangyi Cai, Mythreye Venkatesan, et al.. (2020). COVID-19 Diagnostics, Tools, and Prevention. Diagnostics. 10(6). 409–409. 62 indexed citations
15.
Giuste, Felipe, Mythreye Venkatesan, Conan Zhao, et al.. (2020). Automated Classification of Acute Rejection from Endomyocardial Biopsies. 1–9. 3 indexed citations
16.
Venkatesan, Mythreye & Ahmet F. Coskun. (2019). Digital posters for interactive cellular media and bioengineering education. Communications Biology. 2(1). 455–455. 3 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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