Michael C. Mackey

18.9k total citations · 5 hit papers
212 papers, 13.3k citations indexed

About

Michael C. Mackey is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Genetics. According to data from OpenAlex, Michael C. Mackey has authored 212 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 49 papers in Statistical and Nonlinear Physics and 44 papers in Genetics. Recurrent topics in Michael C. Mackey's work include Nonlinear Dynamics and Pattern Formation (29 papers), Blood disorders and treatments (28 papers) and Erythrocyte Function and Pathophysiology (24 papers). Michael C. Mackey is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (29 papers), Blood disorders and treatments (28 papers) and Erythrocyte Function and Pathophysiology (24 papers). Michael C. Mackey collaborates with scholars based in Canada, United States and Poland. Michael C. Mackey's co-authors include Leon Glass, Andrzej Lasota, P. F. Zweifel, Moisés Santillán, Caroline Colijn, John Milton, Samuel Bernard, David C. Dale, Uwe an der Heiden and Jacques Bélair and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Reviews of Modern Physics.

In The Last Decade

Michael C. Mackey

204 papers receiving 12.4k citations

Hit Papers

Oscillation and Chaos in Physiological Control Systems 1977 2026 1993 2009 1977 1994 1989 1988 1993 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Mackey Canada 54 3.9k 2.8k 2.4k 1.7k 1.6k 212 13.3k
Eshel Ben‐Jacob Israel 72 3.1k 0.8× 4.5k 1.6× 4.6k 1.9× 735 0.4× 2.1k 1.3× 325 22.3k
Michael Small Australia 51 4.2k 1.1× 1.7k 0.6× 1.0k 0.4× 1.3k 0.8× 1.1k 0.7× 463 11.1k
Eduardo D. Sontag United States 77 2.3k 0.6× 4.0k 1.4× 7.6k 3.2× 2.7k 1.6× 590 0.4× 472 32.3k
Leon Glass Canada 59 5.5k 1.4× 5.2k 1.9× 4.1k 1.7× 3.0k 1.8× 7.9k 4.9× 232 26.6k
James P. Keener United States 49 3.0k 0.8× 3.6k 1.3× 2.3k 1.0× 189 0.1× 997 0.6× 170 9.4k
Philip Holmes United States 69 14.9k 3.9× 8.1k 2.9× 1.3k 0.6× 1.1k 0.7× 3.9k 2.5× 287 35.9k
Kazuyuki Aihara Japan 61 4.9k 1.3× 3.2k 1.1× 4.0k 1.7× 4.8k 2.9× 3.5k 2.2× 815 17.5k
John C. Doyle United States 73 4.8k 1.2× 5.5k 2.0× 4.4k 1.9× 1.7k 1.0× 509 0.3× 327 41.1k
Kunihiko Kaneko Japan 55 4.7k 1.2× 3.8k 1.4× 3.6k 1.5× 921 0.6× 1.2k 0.8× 342 11.5k
Miguel A. F. Sanjuán Spain 47 4.3k 1.1× 2.4k 0.9× 1.3k 0.6× 212 0.1× 863 0.5× 347 9.1k

Countries citing papers authored by Michael C. Mackey

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Mackey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Mackey

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Mackey. A scholar is included among the top collaborators of Michael C. Mackey 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 C. Mackey. Michael C. Mackey 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.
Gedeon, Tomáš, et al.. (2025). Dynamics of a state-dependent delay-differential equation. Electronic journal of qualitative theory of differential equations. 1–94. 1 indexed citations
2.
Gedeon, Tomáš, et al.. (2021). Operon dynamics with state dependent transcription and/or translation delays. Journal of Mathematical Biology. 84(1-2). 2–2. 8 indexed citations
3.
Arnold, Donald M., et al.. (2018). Cyclic thrombocytopenia with statistically significant neutrophil oscillations. Clinical Case Reports. 6(7). 1347–1352. 9 indexed citations
4.
Mackey, Michael C., et al.. (2018). The combined effects of Feller diffusion and transcriptional/translational bursting in simple gene networks. Journal of Mathematical Analysis and Applications. 470(2). 931–953. 1 indexed citations
5.
Mackey, Michael C., et al.. (2016). Random Numbers from a Delay Equation. Journal of Nonlinear Science. 26(5). 1311–1327. 4 indexed citations
6.
Mackey, Michael C. & Marta Tyran‐Kamińska. (2015). The limiting dynamics of a bistable molecular switch with and without noise. Journal of Mathematical Biology. 73(2). 367–395. 6 indexed citations
7.
Foley, Catherine & Michael C. Mackey. (2008). Dynamic hematological disease: a review. Journal of Mathematical Biology. 58(1-2). 285–322. 91 indexed citations
8.
Santillán, Moisés, et al.. (2007). Origin of Bistability in the lac Operon. Biophysical Journal. 92(11). 3830–3842. 62 indexed citations
9.
Mackey, Michael C., Chunhua Ou, Laurent Pujo-Menjouet, & Jian Wu. (2006). Periodic Oscillations of Blood Cell Populations in Chronic Myelogenous Leukemia. SIAM Journal on Mathematical Analysis. 38(1). 166–187. 29 indexed citations
10.
Mackey, Michael C. & Marta Tyran‐Kamińska. (2005). Noise and conditional entropy evolution. Physica A Statistical Mechanics and its Applications. 365(2). 360–382. 7 indexed citations
11.
Colijn, Caroline & Michael C. Mackey. (2005). A mathematical model of hematopoiesis: II. Cyclical neutropenia. Journal of Theoretical Biology. 237(2). 133–146. 101 indexed citations
12.
Beck, Christian & Michael C. Mackey. (2004). Has dark energy been measured in the lab. arXiv (Cornell University). 2 indexed citations
13.
Eurich, Christian W., Michael C. Mackey, & Helmut Schwegler. (2002). Recurrent Inhibitory Dynamics: The Role of State-Dependent Distributions of Conduction Delay Times. Journal of Theoretical Biology. 216(1). 31–50. 19 indexed citations
14.
Mackey, Michael C., et al.. (2001). Resonance in Periodic Chemotherapy: A Case Study of Acute Myelogenous Leukemia. Journal of Theoretical Biology. 209(1). 113–130. 55 indexed citations
15.
Mackey, Michael C., et al.. (1995). Evolution of probability densities in stochastic coupled map lattices. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 52(2). 1403–1417. 11 indexed citations
16.
Mackey, Michael C., et al.. (1995). Age-structured and two-delay models for erythropoiesis. Mathematical Biosciences. 128(1-2). 317–346. 137 indexed citations
17.
Mackey, Michael C. & John Milton. (1990). A deterministic approach to survival statistics. Journal of Mathematical Biology. 28(1). 33–48. 20 indexed citations
18.
Milton, John & Michael C. Mackey. (1989). Periodic Haematological Diseases: Mystical Entities or Dynamical Disorders?. Journal of the Royal College of Physicians of London. 23(4). 236–241. 1 indexed citations
19.
Pitts, Todd M., et al.. (1978). In vitro permeability studies of peritoneal (P), cuprophan (C), and polycarbonate (PCM) membranes.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 24. 150–4. 1 indexed citations
20.
Davies, R., et al.. (1966). The Lunar Occultation Of The Crab Nebula Observed At Parkes On June 21, 1963. Australian Journal of Physics. 19(3). 409–420. 4 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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