Michael D. Graham

9.8k total citations
201 papers, 7.4k citations indexed

About

Michael D. Graham is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, Michael D. Graham has authored 201 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computational Mechanics, 70 papers in Fluid Flow and Transfer Processes and 37 papers in Biomedical Engineering. Recurrent topics in Michael D. Graham's work include Rheology and Fluid Dynamics Studies (70 papers), Fluid Dynamics and Turbulent Flows (56 papers) and Blood properties and coagulation (32 papers). Michael D. Graham is often cited by papers focused on Rheology and Fluid Dynamics Studies (70 papers), Fluid Dynamics and Turbulent Flows (56 papers) and Blood properties and coagulation (32 papers). Michael D. Graham collaborates with scholars based in United States, United Kingdom and Germany. Michael D. Graham's co-authors include Juan Pablo, Juan P. Hernández-Ortíz, Richard M. Jendrejack, David C. Schwartz, Li Xi, Christopher Stoltz, Amit Kumar, Ioannis G. Kevrekidis, Amit Kumar and Patrick T. Underhill and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Michael D. Graham

190 papers receiving 7.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael D. Graham United States	49	2.5k	2.5k	2.3k	1.1k	1.0k	201	7.4k
Eric S. G. Shaqfeh United States	55	2.6k 1.0×	4.3k 1.7×	5.4k 2.4×	1.8k 1.6×	2.1k 2.1×	230	9.9k
Chaouqi Misbah France	42	1.2k 0.5×	2.0k 0.8×	1.4k 0.6×	2.4k 2.1×	1.5k 1.5×	229	6.2k
Pep Español Spain	33	1.5k 0.6×	1.9k 0.8×	917 0.4×	246 0.2×	3.4k 3.3×	91	6.1k
Martin Kröger Switzerland	56	3.5k 1.4×	958 0.4×	4.0k 1.8×	475 0.4×	5.6k 5.6×	286	13.8k
H. Brenner United States	36	2.0k 0.8×	2.6k 1.1×	682 0.3×	317 0.3×	1.1k 1.0×	123	6.3k
C. Pozrikidis United States	46	1.7k 0.7×	3.9k 1.6×	1.7k 0.8×	1.6k 1.4×	841 0.8×	196	6.8k
M. G. Brereton United Kingdom	26	1.3k 0.5×	1.1k 0.4×	1.8k 0.8×	188 0.2×	1.2k 1.2×	66	6.5k
Eric R. Weeks United States	46	2.3k 0.9×	966 0.4×	1.1k 0.5×	256 0.2×	5.5k 5.5×	107	9.5k
John C. Crocker United States	47	4.0k 1.6×	562 0.2×	977 0.4×	655 0.6×	5.6k 5.6×	120	13.0k
James J. Feng Canada	49	2.3k 0.9×	5.1k 2.1×	1.1k 0.5×	497 0.5×	1.6k 1.6×	161	8.9k

Countries citing papers authored by Michael D. Graham

Since Specialization

Citations

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

Fields of papers citing papers by Michael D. Graham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Graham. 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 Michael D. Graham. The network helps show where Michael D. Graham may publish in the future.

Co-authorship network of co-authors of Michael D. Graham

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Caruso, Christina, et al.. (2025). Red blood cell partitioning and segregation through vascular bifurcations in a model of sickle cell disease. Soft Matter. 21(28). 5793–5803. 3 indexed citations

Graham, Michael D., et al.. (2025). Dynamics of a data-driven low-dimensional model of turbulent minimal pipe flow. Journal of Fluid Mechanics. 1020.

Caruso, Christina, Beena Thomas, Meredith E. Fay, et al.. (2024). Less-deformable erythrocyte subpopulations biomechanically induce endothelial inflammation in sickle cell disease. Blood. 144(19). 2050–2062. 10 indexed citations

Graham, Michael D., et al.. (2024). Nested travelling wave structures in elastoinertial turbulence. Journal of Fluid Mechanics. 993. 2 indexed citations

Graham, Michael D., et al.. (2023). Flow instabilities in circular Couette flow of wormlike micelle solutions with a reentrant flow curve. Journal of Non-Newtonian Fluid Mechanics. 324. 105183–105183. 2 indexed citations

Graham, Michael D., et al.. (2023). Effect of polymer additives on dynamics of water level in an open channel. Journal of Non-Newtonian Fluid Mechanics. 321. 105129–105129. 1 indexed citations

Caruso, Christina, et al.. (2023). Marginated aberrant red blood cells induce pathologic vascular stress fluctuations in a computational model of hematologic disorders. Science Advances. 9(48). eadj6423–eadj6423. 7 indexed citations

Graham, Michael D., et al.. (2023). Deep learning delay coordinate dynamics for chaotic attractors from partial observable data. Physical review. E. 107(3). 34215–34215. 9 indexed citations

Caruso, Christina, et al.. (2022). Pathologic mechanobiological interactions between red blood cells and endothelial cells directly induce vasculopathy in iron deficiency anemia. iScience. 25(7). 104606–104606. 13 indexed citations

10.

Ng, Henry C.-H., et al.. (2020). Low- and High-Drag Intermittencies in Turbulent Channel Flows. Entropy. 22(10). 1126–1126. 9 indexed citations

11.

Park, Jae Sung, et al.. (2018). Bursting and critical layer frequencies in minimal turbulent dynamics and connections to exact coherent states. Physical Review Fluids. 3(1). 13 indexed citations

12.

Park, Jae Sung, et al.. (2017). Temporal and spatial intermittencies within channel flow turbulence near transition. Physical Review Fluids. 2(2). 26 indexed citations

13.

Park, Jae Sung & Michael D. Graham. (2013). Low-drag exact coherent states in Newtonian channel flow. Bulletin of the American Physical Society. 1 indexed citations

14.

Zhu, Ying, et al.. (2009). Dynamics of virus spread in the presence of fluid flow. Integrative Biology. 1(11-12). 664–664. 12 indexed citations

15.

Hernández-Ortíz, Juan P., Patrick T. Underhill, & Michael D. Graham. (2009). Dynamics of confined suspensions of swimming particles. Journal of Physics Condensed Matter. 21(20). 204107–204107. 87 indexed citations

16.

Underhill, Patrick T., Juan P. Hernández-Ortíz, & Michael D. Graham. (2008). Diffusion and Spatial Correlations in Suspensions of Swimming Particles. Physical Review Letters. 100(24). 248101–248101. 165 indexed citations

17.

Siettos, Constantinos, Michael D. Graham, & Ioannis G. Kevrekidis. (2007). Coarse Brownian dynamics for nematic liquid crystals: Bifurcation, projective integration, and control via stochastic simulation. Minds at UW (University of Wisconsin). 37 indexed citations

18.

Graham, Michael D., et al.. (2004). Conformation and Dynamics of Single DNA in Parallel-Plate Slit Microchannels. Physical Review E. 60901. 3 indexed citations

19.

Stevens, Roger, Jennifer Rusby, & Michael D. Graham. (2003). Periorbital cellulitis with breast cancer. Journal of the Royal Society of Medicine. 96(6). 292–294. 3 indexed citations

20.

Dellinger, Barry, Michael D. Graham, & Debra A. Tirey. (1986). Predicting Emissions from the Thermal Processing of Hazardous Wastes. Hazardous Waste and Hazardous Materials. 3(3). 293–307. 19 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.

Explore authors with similar magnitude of impact