John Gounley

2.4k total citations · 1 hit paper
49 papers, 1.8k citations indexed

About

John Gounley is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, John Gounley has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 15 papers in Pulmonary and Respiratory Medicine and 10 papers in Molecular Biology. Recurrent topics in John Gounley's work include Lattice Boltzmann Simulation Studies (17 papers), Blood properties and coagulation (10 papers) and Topic Modeling (7 papers). John Gounley is often cited by papers focused on Lattice Boltzmann Simulation Studies (17 papers), Blood properties and coagulation (10 papers) and Topic Modeling (7 papers). John Gounley collaborates with scholars based in United States, Brazil and Italy. John Gounley's co-authors include Amanda Randles, Daniel C. Corbett, Fredrik Johansson, Peter A. Galie, Chelsea L. Fortin, Kelly R. Stevens, Bagrat Grigoryan, Samantha J. Paulsen, Jordan S. Miller and Daniel W. Sazer and has published in prestigious journals such as Science, Journal of Fluid Mechanics and Scientific Reports.

In The Last Decade

John Gounley

46 papers receiving 1.7k 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.

Multivascular networks and functional intravascular topologies within biocompatible hydrogels

2019 1.1k citations Bagrat Grigoryan, Samantha J. Paulsen et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Gounley United States	17	1.0k	434	301	199	195	49	1.8k
Amanda Randles United States	21	1.2k 1.1×	447 1.0×	416 1.4×	174 0.9×	205 1.1×	85	2.1k
Adrián Buganza Tepole United States	26	879 0.8×	31 0.1×	333 1.1×	163 0.8×	117 0.6×	95	2.2k
Rebecca J. Shipley United Kingdom	25	587 0.6×	45 0.1×	229 0.8×	223 1.1×	198 1.0×	77	1.6k
Abbas Samani Canada	23	1.9k 1.8×	38 0.1×	432 1.4×	73 0.4×	229 1.2×	105	2.9k
Shuai Li China	24	502 0.5×	138 0.3×	152 0.5×	674 3.4×	286 1.5×	89	1.9k
Jaesoon Choi South Korea	18	673 0.6×	112 0.3×	399 1.3×	72 0.4×	121 0.6×	87	1.1k
Ioannis Papantoniou Belgium	23	1.0k 1.0×	334 0.8×	316 1.0×	333 1.7×	215 1.1×	69	1.7k
Jiquan Yang China	23	1.1k 1.1×	381 0.9×	106 0.4×	84 0.4×	102 0.5×	49	2.1k
Teng Ma China	25	1.2k 1.2×	145 0.3×	83 0.3×	79 0.4×	49 0.3×	99	1.8k

Countries citing papers authored by John Gounley

Since Specialization

Citations

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

Fields of papers citing papers by John Gounley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Gounley

This figure shows the co-authorship network connecting the top 25 collaborators of John Gounley. A scholar is included among the top collaborators of John Gounley 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 John Gounley. John Gounley 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

Fox, Zachary, et al.. (2025). Evaluating algorithmic bias on biomarker classification of breast cancer pathology reports. JAMIA Open. 8(3). ooaf033–ooaf033.

Bhowmik, Debsindhu, et al.. (2024). Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms. Patterns. 5(4). 100947–100947. 8 indexed citations

Gounley, John, et al.. (2023). FrESCO: Framework for Exploring Scalable ComputationalOncology. The Journal of Open Source Software. 8(89). 5345–5345. 1 indexed citations

Lee, Seyong, John Gounley, Jeffrey S. Vetter, et al.. (2023). Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1126–1137.

Lu, Hao, Michael A. Matheson, John Gounley, et al.. (2023). TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. The International Journal of High Performance Computing Applications. 37(6). 666–682. 2 indexed citations

Balogh, Péter, et al.. (2023). Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts. PubMed. 2023. 1–13. 1 indexed citations

Gounley, John, et al.. (2023). Effect of constitutive law on the erythrocyte membrane response to large strains. Computers & Mathematics with Applications. 132. 145–160. 5 indexed citations

Balogh, Péter, John Gounley, Benjamín Hernández, et al.. (2022). High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. PubMed. 2022. 230–242. 1 indexed citations

Blanchard, Andrew E., John Gounley, Debsindhu Bhowmik, et al.. (2022). Language models for the prediction of SARS-CoV-2 inhibitors. The International Journal of High Performance Computing Applications. 36(5-6). 587–602. 18 indexed citations

10.

Chen, Serena H., M. Todd Young, John Gounley, Christopher B. Stanley, & Debsindhu Bhowmik. (2021). How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets. 2021 IEEE International Conference on Big Data (Big Data). 4333–4341. 3 indexed citations

11.

Balogh, Péter, et al.. (2021). A data-driven approach to modeling cancer cell mechanics during microcirculatory transport. Scientific Reports. 11(1). 15232–15232. 16 indexed citations

12.

Klasky, Hilda, John Gounley, Mohammed Alawad, et al.. (2020). Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. Journal of Biomedical Informatics. 110. 103564–103564. 10 indexed citations

13.

Dabagh, Mahsa, John Gounley, & Amanda Randles. (2020). Localization of Rolling and Firm-Adhesive Interactions Between Circulating Tumor Cells and the Microvasculature Wall. Cellular and Molecular Bioengineering. 13(2). 141–154. 17 indexed citations

14.

Kochar, Ajar, et al.. (2020). Determining the impacts of venoarterial extracorporeal membrane oxygenation on cerebral oxygenation using a one-dimensional blood flow simulator. Journal of Biomechanics. 104. 109707–109707. 18 indexed citations

15.

Gounley, John, Dale Adler, Jane A. Leopold, et al.. (2020). Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks. Scientific Reports. 10(1). 9508–9508. 28 indexed citations

16.

Balogh, Péter, et al.. (2020). Multi-GPU immersed boundary method hemodynamics simulations. Journal of Computational Science. 44. 101153–101153. 34 indexed citations

17.

Grigoryan, Bagrat, Samantha J. Paulsen, Daniel C. Corbett, et al.. (2019). Multivascular networks and functional intravascular topologies within biocompatible hydrogels. Science. 364(6439). 458–464. 1086 indexed citations breakdown →

18.

Gounley, John, Madhurima Vardhan, & Amanda Randles. (2018). A framework for comparing vascular hemodynamics at different points in time. Computer Physics Communications. 235. 1–8. 8 indexed citations

19.

Gounley, John, Erik W. Draeger, Tomas Oppelstrup, et al.. (2018). Computing the ankle-brachial index with parallel computational fluid dynamics. Journal of Biomechanics. 82. 28–37. 7 indexed citations

20.

Gounley, John, Erik W. Draeger, & Amanda Randles. (2017). Numerical simulation of a compound capsule in a constricted microchannel. Procedia Computer Science. 108. 175–184. 27 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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