Michael J. Simmonds

2.5k total citations
83 papers, 1.5k citations indexed

About

Michael J. Simmonds is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael J. Simmonds has authored 83 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Pulmonary and Respiratory Medicine, 41 papers in Physiology and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael J. Simmonds's work include Blood properties and coagulation (44 papers), Erythrocyte Function and Pathophysiology (33 papers) and Mechanical Circulatory Support Devices (14 papers). Michael J. Simmonds is often cited by papers focused on Blood properties and coagulation (44 papers), Erythrocyte Function and Pathophysiology (33 papers) and Mechanical Circulatory Support Devices (14 papers). Michael J. Simmonds collaborates with scholars based in Australia, United States and Türkiye. Michael J. Simmonds's co-authors include Surendran Sabapathy, Herbert J. Meiselman, Oğuz K. Başkurt, Philippe Connes, Jon Detterich, Geoff Tansley, Clare Minahan, J.‐F. Brun, Jason N. Peart and Sonya Marshall‐Gradisnik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Michael J. Simmonds

79 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Simmonds Australia 23 608 598 254 241 232 83 1.5k
Yasuharu Matsumoto Japan 27 497 0.8× 502 0.8× 136 0.5× 1.4k 6.0× 678 2.9× 92 2.9k
Sandro Forconi Italy 16 452 0.7× 390 0.7× 72 0.3× 309 1.3× 179 0.8× 38 1.2k
Ulla Ramer Mikkelsen Denmark 21 146 0.2× 571 1.0× 158 0.6× 220 0.9× 243 1.0× 51 1.9k
Bo Zerahn Denmark 25 151 0.2× 476 0.8× 93 0.4× 255 1.1× 554 2.4× 112 1.9k
George J. Crystal United States 29 395 0.6× 338 0.6× 144 0.6× 983 4.1× 724 3.1× 116 2.5k
A. E. Taylor United States 21 508 0.8× 504 0.8× 147 0.6× 314 1.3× 410 1.8× 43 1.9k
Qin Zhang China 24 154 0.3× 454 0.8× 72 0.3× 244 1.0× 403 1.7× 102 2.2k
D. Clark Files United States 24 505 0.8× 367 0.6× 82 0.3× 121 0.5× 206 0.9× 66 1.9k
Kenta Ito Japan 27 155 0.3× 172 0.3× 341 1.3× 727 3.0× 479 2.1× 51 2.0k
Martin Clodi Austria 28 178 0.3× 535 0.9× 58 0.2× 361 1.5× 360 1.6× 117 2.3k

Countries citing papers authored by Michael J. Simmonds

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Simmonds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Simmonds

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Simmonds. A scholar is included among the top collaborators of Michael J. Simmonds 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 J. Simmonds. Michael J. Simmonds 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.
2.
Timms, Daniel, et al.. (2025). In Vitro Hemocompatibility of the BiVACOR Total Artificial Heart in Continuous and Pulsatile Flow. Artificial Organs. 50(1). 84–93.
3.
Simmonds, Michael J., Herbert J. Meiselman, & Jon Detterich. (2024). Blood Rheology and Hemodynamics: Still Illuminating after 20 Years. Seminars in Thrombosis and Hemostasis. 50(6). 916–918. 1 indexed citations
4.
Marr, Carsten, et al.. (2024). Lysis of human erythrocytes due to Piezo1-dependent cytosolic calcium overload as a mechanism of circulatory removal. Proceedings of the National Academy of Sciences. 121(36). e2407765121–e2407765121. 9 indexed citations
5.
Smith, Amanda, et al.. (2024). An enhanced and rapid method for von Willebrand factor multimer analysis for mechanical circulatory device testing. Artificial Organs. 48(12). 1438–1448. 1 indexed citations
6.
Smith, Amanda, et al.. (2023). Accelerated Hemocompatibility Testing of Rotary Blood Pumps. ASAIO Journal. 69(10). 918–923. 5 indexed citations
7.
Simmonds, Michael J., et al.. (2023). Red Blood Cell Sublethal Damage: Hemocompatibility Is not the Absence of Hemolysis. Transfusion Medicine Reviews. 37(2). 150723–150723. 8 indexed citations
8.
Sabapathy, Surendran, et al.. (2023). Single-night continuous positive airway pressure treatment improves blood fluid properties in individuals recently diagnosed with obstructive sleep apnoea. Microvascular Research. 148. 104549–104549. 2 indexed citations
9.
McNeil, Chris J., et al.. (2022). Post‐fatigue ability to activate muscle is compromised across a wide range of torques during acute hypoxic exposure. European Journal of Neuroscience. 56(5). 4653–4668. 2 indexed citations
10.
Simmonds, Michael J., et al.. (2022). Bovine erythrocytes are poor surrogates for human when exposed to sublethal shear stress. The International Journal of Artificial Organs. 45(6). 580–587. 3 indexed citations
11.
Simmonds, Michael J., et al.. (2022). Protocol for inspecting blood cell dynamics with a custom ektacytometer-rheometer apparatus. STAR Protocols. 3(2). 101279–101279. 2 indexed citations
12.
McNeil, Chris J., et al.. (2020). Time course of neuromuscular responses to acute hypoxia during voluntary contractions. Experimental Physiology. 105(11). 1855–1868. 4 indexed citations
13.
Simmonds, Michael J., et al.. (2020). Mechanical sensitivity of red blood cells improves in individuals with hemochromatosis following venesection therapy. Transfusion. 60(12). 3001–3009. 3 indexed citations
14.
Simmonds, Michael J., et al.. (2020). Hemochromatosis alters the sensitivity of red blood cells to mechanical stress. Transfusion. 60(12). 2982–2990. 5 indexed citations
15.
Tansley, Geoff, et al.. (2020). Sublethal Supraphysiological Shear Stress Alters Erythrocyte Dynamics in Subsequent Low-Shear Flows. Biophysical Journal. 119(11). 2179–2189. 10 indexed citations
16.
Simmonds, Michael J., et al.. (2020). Ex vivo assessment of erythrocyte tolerance to the HeartWare ventricular assist device operated in three discrete configurations. Artificial Organs. 45(6). E146–E157. 5 indexed citations
17.
Tansley, Geoff, et al.. (2020). Sublethal mechanical shear stress increases the elastic shear modulus of red blood cells but does not change capillary transit velocity. Microcirculation. 27(8). e12652–e12652. 16 indexed citations
18.
Tansley, Geoff, et al.. (2018). Sublethal mechanical trauma alters the electrochemical properties and increases aggregation of erythrocytes. Microvascular Research. 120. 1–7. 19 indexed citations
19.
Tansley, Geoff, et al.. (2017). Oxidative Stress Increases Erythrocyte Sensitivity to Shear‐Mediated Damage. Artificial Organs. 42(2). 184–192. 28 indexed citations
20.

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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