Aleksander S. Popel

19.9k total citations · 1 hit paper
363 papers, 15.4k citations indexed

About

Aleksander S. Popel is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Aleksander S. Popel has authored 363 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Molecular Biology, 84 papers in Oncology and 64 papers in Cancer Research. Recurrent topics in Aleksander S. Popel's work include Angiogenesis and VEGF in Cancer (99 papers), Mathematical Biology Tumor Growth (42 papers) and Blood properties and coagulation (41 papers). Aleksander S. Popel is often cited by papers focused on Angiogenesis and VEGF in Cancer (99 papers), Mathematical Biology Tumor Growth (42 papers) and Blood properties and coagulation (41 papers). Aleksander S. Popel collaborates with scholars based in United States, Canada and China. Aleksander S. Popel's co-authors include Feilim Mac Gabhann, Paul C. Johnson, Amina A. Qutub, Roland N. Pittman, Emmanouil D. Karagiannis, Niranjan B. Pandey, Daniel Goldman, Marcos Intaglietta, William E. Brownell and Junfeng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Aleksander S. Popel

356 papers receiving 15.1k citations

Hit Papers

align trajectories

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.

MICROCIRCULATION AND HEMORHEOLOGY

2005 601 citations Aleksander S. Popel, Paul C. Johnson profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aleksander S. Popel United States	64	5.3k	3.3k	2.8k	2.3k	2.2k	363	15.4k
Timothy W. Secomb United States	62	2.9k 0.5×	3.6k 1.1×	2.8k 1.0×	934 0.4×	2.8k 1.3×	247	13.6k
Lance L. Munn United States	67	6.9k 1.3×	2.2k 0.7×	1.1k 0.4×	5.6k 2.4×	5.2k 2.4×	178	17.7k
Federico Bussolino Italy	74	9.9k 1.9×	1.4k 0.4×	2.3k 0.8×	4.2k 1.8×	843 0.4×	343	22.1k
Axel R. Pries Germany	58	2.3k 0.4×	3.4k 1.0×	2.7k 1.0×	467 0.2×	1.4k 0.6×	187	11.6k
Roger D. Kamm United States	100	9.8k 1.9×	3.8k 1.1×	1.9k 0.7×	5.7k 2.5×	16.5k 7.5×	460	35.9k
Bernd W. Scheithauer United States	110	13.9k 2.6×	9.3k 2.8×	1.9k 0.7×	5.6k 2.5×	991 0.5×	582	57.4k
Sheldon Weinbaum United States	64	4.2k 0.8×	2.3k 0.7×	2.3k 0.8×	726 0.3×	3.9k 1.8×	237	15.9k
Daniel J. Brat United States	72	7.8k 1.5×	3.5k 1.1×	598 0.2×	3.6k 1.6×	1.2k 0.6×	312	23.3k
Pieter Wesseling Netherlands	74	8.5k 1.6×	4.3k 1.3×	855 0.3×	3.7k 1.6×	1.7k 0.8×	386	26.6k
Jennifer E. Van Eyk United States	75	11.0k 2.1×	1.2k 0.3×	1.5k 0.5×	1.3k 0.6×	1.1k 0.5×	423	20.2k

Countries citing papers authored by Aleksander S. Popel

Since Specialization

Citations

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

Fields of papers citing papers by Aleksander S. Popel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aleksander S. Popel. 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 Aleksander S. Popel. The network helps show where Aleksander S. Popel may publish in the future.

Co-authorship network of co-authors of Aleksander S. Popel

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

All Works

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20 of 20 papers shown

Mi, Haoyang, Ravi Varadhan, Ashley Cimino‐Mathews, et al.. (2024). Spatial Architecture of Single-Cell and Vasculature in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer. Modern Pathology. 38(2). 100652–100652. 6 indexed citations

Wang, Hanwen, et al.. (2024). Quantitative Systems Pharmacology Modeling in Immuno-Oncology: Hypothesis Testing, Dose Optimization, and Efficacy Prediction. Handbook of experimental pharmacology. 289. 261–284. 1 indexed citations

Wang, Hanwen, et al.. (2024). Identifying biomarkers for treatment of uveal melanoma by T cell engager using a QSP model. npj Systems Biology and Applications. 10(1). 108–108. 4 indexed citations

Mirando, Adam C., et al.. (2023). Gel-forming therapeutic peptide exhibits sustained delivery and efficacy in a mouse model of triple-negative breast cancer. Peptides. 169. 171075–171075. 1 indexed citations

Wang, Hanwen, et al.. (2023). Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition. npj Precision Oncology. 7(1). 55–55. 19 indexed citations

Sové, Richard J., et al.. (2022). Virtual clinical trials of anti-PD-1 and anti-CTLA-4 immunotherapy in advanced hepatocellular carcinoma using a quantitative systems pharmacology model. Journal for ImmunoTherapy of Cancer. 10(11). e005414–e005414. 32 indexed citations

Wang, Hanwen, Chen Zhao, Cesar A. Santa‐Maria, Leisha A. Emens, & Aleksander S. Popel. (2022). Dynamics of tumor-associated macrophages in a quantitative systems pharmacology model of immunotherapy in triple-negative breast cancer. iScience. 25(8). 104702–104702. 31 indexed citations

Noren, David P., Amina A. Qutub, Aryeh Warmflash, et al.. (2016). Endothelial cells decode VEGF-mediated Ca ²⁺ signaling patterns to produce distinct functional responses. Science Signaling. 9(416). ra20–ra20. 80 indexed citations

Zhao, Chen & Aleksander S. Popel. (2015). Computational Model of MicroRNA Control of HIF-VEGF Pathway: Insights into the Pathophysiology of Ischemic Vascular Disease and Cancer. PLoS Computational Biology. 11(11). e1004612–e1004612. 38 indexed citations

10.

Lee, Esak, Jacob E. Koskimaki, Niranjan B. Pandey, & Aleksander S. Popel. (2013). Inhibition of Lymphangiogenesis and Angiogenesis in Breast Tumor Xenografts and Lymph Nodes by a Peptide Derived from Transmembrane Protein 45A. Neoplasia. 15(2). 112–IN6. 44 indexed citations

11.

Stefanini, Marianne O., Florence T.H. Wu, Feilim Mac Gabhann, & Aleksander S. Popel. (2010). Increase of Plasma VEGF after Intravenous Administration of Bevacizumab Is Predicted by a Pharmacokinetic Model. Cancer Research. 70(23). 9886–9894. 60 indexed citations

12.

Soliman, Mohamed S., et al.. (2008). In vitro Evaluation of Predicted Antiangiogenic Peptides in Human Retinal Endothelial Cells. Investigative Ophthalmology & Visual Science. 49(13). 4594–4594. 1 indexed citations

13.

Tsoukias, Nikolaos M., et al.. (2007). A computational model of oxygen delivery by hemoglobin-based oxygen carriers in three-dimensional microvascular networks. Journal of Theoretical Biology. 248(4). 657–674. 40 indexed citations

14.

Bagchi, Prosenjit, Paul C. Johnson, & Aleksander S. Popel. (2005). Computational Fluid Dynamic Simulation of Aggregation of Deformable Cells in a Shear Flow. Journal of Biomechanical Engineering. 127(7). 1070–1080. 139 indexed citations

15.

Eggleton, Charles D., et al.. (2000). Calculations of intracapillary oxygen tension distributions in muscle. Mathematical Biosciences. 167(2). 123–143. 50 indexed citations

16.

Raphael, Robert M., Aleksander S. Popel, & William E. Brownell. (2000). A Membrane Bending Model of Outer Hair Cell Electromotility. Biophysical Journal. 78(6). 2844–2862. 117 indexed citations

17.

Sharan, Maithili, Aleksander S. Popel, Mark L. Hudak, et al.. (1998). An Analysis of Hypoxia in Sheep Brain using a Mathematical Model. Annals of Biomedical Engineering. 26(1). 48–59. 12 indexed citations

18.

Dvinsky, A. & Aleksander S. Popel. (1987). Motion of a rigid cylinder between parallel plates in Stokes flow. Part 2: Poiseuille and Couette flow.. International Journal for Numerical Methods in Fluids. 7. 405–419. 1 indexed citations

19.

Dvinsky, A. & Aleksander S. Popel. (1987). Motion of a rigid cylinder between parallel plates in Stokes flow. Part 1: motion in a quiescent fluid and sedimentation.. International Journal for Numerical Methods in Fluids. 7. 391–404. 4 indexed citations

20.

Tsitlik, Joshua E., Henry R. Halperin, Alan D. Guerci, et al.. (1987). Augmentation of pressure in a vessel indenting the surface of the lung. Annals of Biomedical Engineering. 15(3-4). 259–284. 5 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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