Alexander Partin

948 total citations
24 papers, 463 citations indexed

About

Alexander Partin is a scholar working on Computational Theory and Mathematics, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alexander Partin has authored 24 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 10 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alexander Partin's work include Computational Drug Discovery Methods (10 papers), Ultrasound Imaging and Elastography (5 papers) and Machine Learning in Materials Science (4 papers). Alexander Partin is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Ultrasound Imaging and Elastography (5 papers) and Machine Learning in Materials Science (4 papers). Alexander Partin collaborates with scholars based in United States and Russia. Alexander Partin's co-authors include Rick Stevens, Thomas Brettin, Yitan Zhu, Deborah J. Rubens, Kevin J. Parker, Maulik Shukla, James H. Doroshow, Yvonne A. Evrard, Fangfang Xia and Hyunseung Yoo and has published in prestigious journals such as Cancer Research, Scientific Reports and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Alexander Partin

19 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Partin United States 10 133 112 107 80 80 24 463
Qingqing Lu China 16 68 0.5× 94 0.8× 208 1.9× 85 1.1× 24 0.3× 27 622
Ioannis Valavanis Greece 14 168 1.3× 52 0.5× 100 0.9× 174 2.2× 11 0.1× 34 700
Ruiwei Feng China 11 155 1.2× 44 0.4× 45 0.4× 150 1.9× 47 0.6× 14 454
Yongxian Fan China 15 115 0.9× 31 0.3× 395 3.7× 189 2.4× 36 0.5× 37 708
Shidin Balakrishnan Qatar 15 119 0.9× 202 1.8× 64 0.6× 91 1.1× 39 0.5× 26 710
Jia-Cong Liu China 9 22 0.2× 50 0.4× 44 0.4× 115 1.4× 42 0.5× 50 386
Ahmed Badawi Egypt 14 177 1.3× 94 0.8× 53 0.5× 123 1.5× 5 0.1× 46 817
Surbhi Gupta India 15 188 1.4× 33 0.3× 81 0.8× 268 3.4× 12 0.1× 24 563
Jinke Wang China 14 240 1.8× 110 1.0× 74 0.7× 181 2.3× 4 0.1× 53 728

Countries citing papers authored by Alexander Partin

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Partin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Partin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Partin. A scholar is included among the top collaborators of Alexander Partin 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 Alexander Partin. Alexander Partin 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.
Partin, Alexander, Steve Jones, Jamie Overbeek, et al.. (2026). Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. Briefings in Bioinformatics. 27(1).
2.
Narykov, Oleksandr, Thomas Brettin, Yvonne A. Evrard, et al.. (2025). Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting. Briefings in Bioinformatics. 26(2).
3.
Zhu, Yitan, Thomas Brettin, Alexander Partin, et al.. (2024). A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening. Cancers. 16(3). 530–530. 3 indexed citations
4.
Partin, Alexander, Thomas Brettin, Yitan Zhu, et al.. (2023). Deep learning methods for drug response prediction in cancer: Predominant and emerging trends. Frontiers in Medicine. 10. 1086097–1086097. 59 indexed citations
5.
Narykov, Oleksandr, Thomas Brettin, Yvonne A. Evrard, et al.. (2023). Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models. Cancers. 16(1). 50–50. 6 indexed citations
6.
Partin, Alexander, Thomas Brettin, Yitan Zhu, et al.. (2023). Abstract 5380: Systematic evaluation and comparison of drug response prediction models: a case study of prediction generalization across cell lines datasets. Cancer Research. 83(7_Supplement). 5380–5380. 1 indexed citations
7.
Partin, Alexander, Thomas Brettin, Yitan Zhu, et al.. (2023). Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images. Frontiers in Medicine. 10. 1058919–1058919. 6 indexed citations
8.
Clyde, Austin, Xuefeng Liu, Thomas Brettin, et al.. (2023). AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection. Scientific Reports. 13(1). 2105–2105. 16 indexed citations
9.
Wozniak, Justin M., Rajeev Jain, Andreas Wilke, et al.. (2023). An Automation Framework for Comparison of Cancer Response Models Across Configurations. 1–10.
10.
Zhu, Yitan, Thomas Brettin, Fangfang Xia, et al.. (2021). Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networks. Scientific Reports. 11(1). 14036–14036. 7 indexed citations
11.
Zhu, Yitan, Thomas Brettin, Fangfang Xia, et al.. (2021). Converting tabular data into images for deep learning with convolutional neural networks. Scientific Reports. 11(1). 11325–11325. 116 indexed citations
12.
Zhu, Yitan, Thomas Brettin, Yvonne A. Evrard, et al.. (2020). Ensemble transfer learning for the prediction of anti-cancer drug response. Scientific Reports. 10(1). 18040–18040. 49 indexed citations
13.
Zhu, Yitan, Thomas Brettin, Yvonne A. Evrard, et al.. (2020). Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models. Genes. 11(9). 1070–1070. 9 indexed citations
14.
Partin, Alexander, et al.. (2019). CONVERGENCE PATTERNS OF KRYLOV SUBSPACE SOLVERS IN THE SIMULATION OF LARGE ELASTIC-PLASTIC DEFORMATIONS OF HETEROPHASE MEDIA. Diagnostics Resource and Mechanics of materials and structures. 6–15. 1 indexed citations
15.
Partin, Alexander, et al.. (2018). On convergence of various iterative linear solvers in heterophase elastoplastic media deformation models. AIP conference proceedings. 2053. 30026–30026. 1 indexed citations
16.
Parker, Kevin J., Alexander Partin, & Deborah J. Rubens. (2015). What Do We Know About Shear Wave Dispersion in Normal and Steatotic Livers?. Ultrasound in Medicine & Biology. 41(5). 1481–1487. 35 indexed citations
17.
Barry, Christopher T., Zaegyoo Hah, Gang Cheng, et al.. (2015). Shear Wave Dispersion in Lean Versus Steatotic Rat Livers. Journal of Ultrasound in Medicine. 34(6). 1123–1129. 23 indexed citations
18.
Barry, Christopher T., Zaegyoo Hah, Alexander Partin, et al.. (2014). Mouse Liver Dispersion for the Diagnosis of Early-Stage Fatty Liver Disease: A 70-Sample Study. Ultrasound in Medicine & Biology. 40(4). 704–713. 64 indexed citations
19.
Partin, Alexander, Zaegyoo Hah, Christopher T. Barry, Deborah J. Rubens, & Kevin J. Parker. (2013). Elasticity Estimates from Images of Crawling Waves Generated by Miniature Surface Sources. Ultrasound in Medicine & Biology. 40(4). 685–694. 27 indexed citations
20.
Partin, Alexander, et al.. (2011). Parallel solution of the elastic-plastic problem using a tridiagonal algorithm for LU-decomposition from the ScaLAPACK library. Computational Continuum Mechanics. 4(4). 34–41. 1 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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