Michael Pienn

742 total citations
16 papers, 343 citations indexed

About

Michael Pienn is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Michael Pienn has authored 16 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Michael Pienn's work include Pulmonary Hypertension Research and Treatments (12 papers), Ultrasound in Clinical Applications (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). Michael Pienn is often cited by papers focused on Pulmonary Hypertension Research and Treatments (12 papers), Ultrasound in Clinical Applications (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). Michael Pienn collaborates with scholars based in Austria, Germany and United Kingdom. Michael Pienn's co-authors include Horst Olschewski, Gábor Kovács, Alexander Avian, Robert Naeije, Martin Urschler, Andrea Olschewski, Zoltán Bálint, Rudolf Stollberger, P Kullnig and Christian Payer and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Annals of the Rheumatic Diseases.

In The Last Decade

Michael Pienn

12 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Pienn Austria	10	266	176	51	38	34	16	343
Krit Dwivedi United Kingdom	13	199 0.7×	108 0.6×	87 1.7×	36 0.9×	34 1.0×	31	333
Hiroki Taguchi Japan	8	187 0.7×	163 0.9×	55 1.1×	63 1.7×	18 0.5×	18	320
Sanae Kaga Japan	10	75 0.3×	233 1.3×	85 1.7×	42 1.1×	54 1.6×	55	295
Roald J. Roeleveld Netherlands	5	432 1.6×	393 2.2×	70 1.4×	65 1.7×	101 3.0×	6	504
P. Chirossel France	9	200 0.8×	98 0.6×	118 2.3×	44 1.2×	88 2.6×	12	267
Anna Liner United States	4	225 0.8×	303 1.7×	49 1.0×	63 1.7×	103 3.0×	4	384
You‐Bin Deng China	11	140 0.5×	322 1.8×	140 2.7×	91 2.4×	97 2.9×	46	437
Varius Dannenberg Austria	8	76 0.3×	163 0.9×	51 1.0×	44 1.2×	57 1.7×	41	247
Cecilia Agalbato Italy	5	103 0.4×	126 0.7×	113 2.2×	49 1.3×	19 0.6×	11	267
Andrew J. Swift United Kingdom	11	143 0.5×	387 2.2×	201 3.9×	74 1.9×	76 2.2×	32	465

Countries citing papers authored by Michael Pienn

Since Specialization

Citations

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

Fields of papers citing papers by Michael Pienn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pienn

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

All Works

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16 of 16 papers shown

Stoleriu, Mircea Gabriel, Michael Pienn, Peter Alter, et al.. (2024). Expiratory Venous Volume and Arterial Tortuosity are Associated with Disease Severity and Mortality Risk in Patients with COPD: Results from COSYCONET. International Journal of COPD. Volume 19. 1515–1529.

Pienn, Michael, Roman Johannes Gertz, Felix Gerhardt, et al.. (2023). CT-derived lung vessel morphology correlates with prognostic markers in precapillary pulmonary hypertension. The Journal of Heart and Lung Transplantation. 43(1). 54–65. 2 indexed citations

Gertz, Roman Johannes, Felix Gerhardt, Michael Pienn, et al.. (2023). Dual-layer dual-energy CT-derived pulmonary perfusion for the differentiation of acute pulmonary embolism and chronic thromboembolic pulmonary hypertension. European Radiology. 34(5). 2944–2956. 9 indexed citations

Bruni, Cosimo, Mariaelena Occhipinti, Gianna Camiciottoli, et al.. (2020). SAT0553 QUANTITATIVE ANALYSIS OF IMAGING FEATURES AT CHEST CT OF PULMONARY ARTERIAL AND VENOUS COMPONENTS IN SYSTEMIC SCLEROSIS-INTERSTITIAL LUNG DISEASE (SSc-ILD).. Annals of the Rheumatic Diseases. 79. 1234–1234.

Jacob, Joseph, Michael Pienn, Christian Payer, et al.. (2019). Normalized Vessel Volume from Quantitative Computed Tomography Predicts Survival in Idiopathic Pulmonary Fibrosis. A1040–A1040. 1 indexed citations

Jacob, Joseph, Michael Pienn, Christian Payer, et al.. (2019). Quantitative CT‐derived vessel metrics in idiopathic pulmonary fibrosis: A structure–function study. Respirology. 24(5). 445–452. 21 indexed citations

Pienn, Michael, Caroline Burgard, Christian Payer, et al.. (2018). Healthy Lung Vessel Morphology Derived From Thoracic Computed Tomography. Frontiers in Physiology. 9. 346–346. 12 indexed citations

Payer, Christian, et al.. (2018). Pulmonary Lobe Segmentation in CT Images using Alpha-Expansion. 387–394. 9 indexed citations

Nagaraj, Chandran, Christoph Tabeling, Bence Nagy, et al.. (2017). Hypoxic vascular response and ventilation/perfusion matching in end-stage COPD may depend on p22phox. European Respiratory Journal. 50(1). 1601651–1601651. 15 indexed citations

10.

Payer, Christian, Michael Pienn, Zoltán Bálint, et al.. (2016). Automated integer programming based separation of arteries and veins from thoracic CT images. Medical Image Analysis. 34. 109–122. 25 indexed citations

11.

Kovács, Gábor, Alexander Avian, Michael Pienn, Robert Naeije, & Horst Olschewski. (2014). Reading Pulmonary Vascular Pressure Tracings. How to Handle the Problems of Zero Leveling and Respiratory Swings. American Journal of Respiratory and Critical Care Medicine. 190(3). 252–257. 153 indexed citations

12.

Helmberger, Michael, Michael Pienn, Martin Urschler, et al.. (2014). Quantification of Tortuosity and Fractal Dimension of the Lung Vessels in Pulmonary Hypertension Patients. PLoS ONE. 9(1). e87515–e87515. 69 indexed citations

13.

Pienn, Michael, Ekkehard Grünig, Derliz Mereles, et al.. (2014). Moderne bildgebende Verfahren im Management der pulmonalen Hypertonie. DMW - Deutsche Medizinische Wochenschrift. 139(S 04). S121–S125.

14.

Kovács, Gábor, Michael Pienn, & Horst Olschewski. (2014). Diagnostik der pulmonalen Hypertonie – Neues nach dem 5. Weltkongress. Pneumologie. 68(11). 743–751.

15.

Pienn, Michael, Gábor Kovács, Maria Tscherner, et al.. (2013). Determination of cardiac output with dynamic contrast-enhanced computed tomography. International journal of cardiac imaging. 29(8). 1871–1878. 9 indexed citations

16.

Pienn, Michael, Gábor Kovács, Maria Tscherner, et al.. (2013). Non-invasive determination of pulmonary hypertension with dynamic contrast-enhanced computed tomography: a pilot study. European Radiology. 24(3). 668–676. 18 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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