Michaël Heymann

26.6k total citations · 8 hit papers
359 papers, 18.3k citations indexed

About

Michaël Heymann is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michaël Heymann has authored 359 papers receiving a total of 18.3k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Pulmonary and Respiratory Medicine, 66 papers in Epidemiology and 59 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michaël Heymann's work include Neonatal Respiratory Health Research (77 papers), Congenital Heart Disease Studies (64 papers) and Cardiovascular Conditions and Treatments (53 papers). Michaël Heymann is often cited by papers focused on Neonatal Respiratory Health Research (77 papers), Congenital Heart Disease Studies (64 papers) and Cardiovascular Conditions and Treatments (53 papers). Michaël Heymann collaborates with scholars based in United States, Israel and Germany. Michaël Heymann's co-authors include Abraham M. Rudolph, Julien I.E. Hoffman, B. Payne, Ronald I. Clyman, Zvonimir Dogic, Tim Sanchez, Stephen J. DeCamp, Norman H. Silverman, Scott J. Soifer and Herbert E. Cohn and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Michaël Heymann

345 papers receiving 17.0k citations

Hit Papers

Blood flow measurements with radionuclide-labeled particles 1967 2026 1986 2006 1977 1967 2012 2018 1974 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaël Heymann United States 67 5.1k 3.7k 3.0k 3.0k 2.8k 359 18.3k
Marcos Intaglietta United States 61 2.5k 0.5× 897 0.2× 1.1k 0.4× 1.9k 0.6× 1.8k 0.6× 352 13.1k
Charlotte Ling United States 80 6.2k 1.2× 1.5k 0.4× 5.6k 1.9× 3.8k 1.3× 500 0.2× 311 22.0k
Arthur C. Guyton United States 66 3.5k 0.7× 811 0.2× 791 0.3× 3.5k 1.2× 6.9k 2.5× 265 19.1k
Jeffrey S. Ross United States 58 2.0k 0.4× 6.9k 1.8× 1.7k 0.6× 6.7k 2.2× 1.7k 0.6× 379 25.1k
Can İnce Netherlands 78 3.1k 0.6× 8.2k 2.2× 1.6k 0.5× 7.4k 2.5× 3.3k 1.2× 494 22.4k
Fritz Schick Germany 69 1.2k 0.2× 5.8k 1.6× 5.9k 2.0× 2.5k 0.8× 2.9k 1.0× 498 19.4k
A. David Edwards United Kingdom 92 9.0k 1.8× 2.6k 0.7× 7.8k 2.6× 1.6k 0.5× 678 0.2× 473 30.0k
Matthew A. Brown United Kingdom 85 1.9k 0.4× 1.6k 0.4× 2.1k 0.7× 2.9k 1.0× 3.7k 1.3× 580 31.2k
David Menon United Kingdom 87 1.4k 0.3× 10.1k 2.7× 5.0k 1.7× 1.7k 0.6× 1.0k 0.4× 515 29.7k
Masaharu Nishimura Japan 66 16.8k 3.3× 2.0k 0.5× 1.5k 0.5× 1.7k 0.6× 2.0k 0.7× 644 26.4k

Countries citing papers authored by Michaël Heymann

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Heymann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Heymann

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Heymann. A scholar is included among the top collaborators of Michaël Heymann 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 Michaël Heymann. Michaël Heymann 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
2.
Heymann, Michaël, et al.. (2025). 3D-printed immersion micro optics. Light Advanced Manufacturing. 6(2). 388–388. 2 indexed citations
3.
Adriano, Luigi, Michaël Heymann, G. Öhrwall, et al.. (2024). Development of a flat jet delivery system for soft X-ray spectroscopy at MAX IV. Journal of Synchrotron Radiation. 31(5). 1285–1292.
4.
Maia, Filipe R. N. C., et al.. (2024). Enhancing electrospray ionization efficiency for particle transmission through an aerodynamic lens stack. Journal of Synchrotron Radiation. 31(2). 222–232. 3 indexed citations
5.
Heymann, Michaël, et al.. (2021). Single Cell Bioprinting with Ultrashort Laser Pulses. Advanced Functional Materials. 31(19). 32 indexed citations
6.
Knoška, J., Luigi Adriano, Salah Awel, et al.. (2020). Ultracompact 3D microfluidics for time-resolved structural biology. Nature Communications. 11(1). 657–657. 108 indexed citations
7.
Vakili, Mohammad, Ramakrishna Vasireddi, Diana C. F. Monteiro, et al.. (2020). Microfluidic polyimide gas dynamic virtual nozzles for serial crystallography. Review of Scientific Instruments. 91(8). 85108–85108. 22 indexed citations
8.
Blumhardt, Philipp, et al.. (2018). Direct characterization of the evanescent field in objective-type total internal reflection fluorescence microscopy. Optics Express. 26(16). 20492–20492. 16 indexed citations
9.
Jia, Haiyang, Michaël Heymann, Frank Bernhard, Petra Schwille, & Lei Kai. (2017). Cell-free protein synthesis in micro compartments: building a minimal cell from biobricks. New Biotechnology. 39(Pt B). 199–205. 50 indexed citations
10.
Li, Ning, et al.. (2014). Testing Turing’s theory of morphogenesis in chemical cells. Proceedings of the National Academy of Sciences. 111(12). 4397–4402. 147 indexed citations
11.
Heymann, Michaël, Kyle Harrington, Jordan Pollack, & Seth Fraden. (2010). En Route to Signal Inversion in Chemical Computing.. Artificial Life. 166–167.
12.
Heymann, Michaël, Asaf Degani, & Immanuel Barshi. (2007). Generating Procedures and Recovery Sequences: a Formal Approach. Journal of Bioresource Management. 252. 9 indexed citations
13.
Soifer, Scott J., Michael D. Schreiber, & Michaël Heymann. (1989). Leukotriene Antagonists Attenuate Thromboxane-Inducible Pulmonary Hypertension. Pediatric Research. 26(2). 83–87. 10 indexed citations
14.
Soifer, Scott J., Ronald I. Clyman, & Michaël Heymann. (1988). Effects of prostaglandin D2 on pulmonary arterial pressure and oxygenation in newborn infants with persistent pulmonary hypertension. The Journal of Pediatrics. 112(5). 774–777. 21 indexed citations
15.
Schreiber, Michael D., Michaël Heymann, & Scott J. Soifer. (1986). Increased Arterial pH, Not Decreased PaCO2, Attenuates Hypoxia-Induced Pulmonary Vasoconstriction in Newborn Lambs. Pediatric Research. 20(2). 113–117. 63 indexed citations
16.
Sidi, Daniel & Michaël Heymann. (1984). Physiopathologie de la transposition des gros vaisseaux.. 31(7).
17.
Fisher, David J., Michaël Heymann, & Abraham M. Rudolph. (1981). Myocardial Consumption of Oxygen and Carbohydrates in Newborn Sheep. Pediatric Research. 15(5). 843–846. 8 indexed citations
18.
Heymann, Michaël. (1980). Prostaglandins in the perinatal period, their physiologic and clinical importance. Grune & Stratton eBooks. 5 indexed citations
19.
Heymann, Michaël & Ronald J. Stern. (1976). Ω-Rest points in autonomous control systems. Journal of Differential Equations. 20(2). 389–398. 5 indexed citations
20.
Morishima, Hisayo O., Michaël Heymann, Abraham M. Rudolph, Cynthia T. Barrett, & L. Stanley James. (1975). Transfer of lidocaine across the sheep placenta to the fetus. American Journal of Obstetrics and Gynecology. 122(5). 581–588. 21 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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