Max Pichler

2.1k total citations
45 papers, 1.5k citations indexed

About

Max Pichler is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Max Pichler has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 16 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Surgery. Recurrent topics in Max Pichler's work include Cardiac Imaging and Diagnostics (16 papers), Cardiovascular Function and Risk Factors (10 papers) and Cardiac electrophysiology and arrhythmias (10 papers). Max Pichler is often cited by papers focused on Cardiac Imaging and Diagnostics (16 papers), Cardiovascular Function and Risk Factors (10 papers) and Cardiac electrophysiology and arrhythmias (10 papers). Max Pichler collaborates with scholars based in Austria, United States and United Kingdom. Max Pichler's co-authors include Daniel S. Berman, Prediman K. Shah, H.J.C. Swan, Bramah N. Singh, Jamshid Maddahi, Armin Gerger, Tatjana Stojaković, Uwe Langsenlehner, Tanja Langsenlehner and Sabine Krenn-Pilko and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Max Pichler

44 papers receiving 1.4k citations

Peers

Max Pichler
Joshua M. Stolker United States
Umesh Tamhane United States
Glen J. Kowalchuk United States
Max Pichler
Citations per year, relative to Max Pichler Max Pichler (= 1×) peers Luigi Tarantini

Countries citing papers authored by Max Pichler

Since Specialization
Citations

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

Fields of papers citing papers by Max Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Pichler

This figure shows the co-authorship network connecting the top 25 collaborators of Max Pichler. A scholar is included among the top collaborators of Max Pichler 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 Max Pichler. Max Pichler 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.
Schmidinger, Manuela, Maximilian J. Hochmair, Gudrun Absenger, et al.. (2022). 117P BiomeOne: Multi-centric validation of a novel microbiome-based biomarker to predict response to cancer immunotherapy. Annals of Oncology. 33. S592–S592. 1 indexed citations
2.
Reinisch, Sabine, Florian Moik, Michael Stotz, et al.. (2020). Decrease in treatment intensity predicts worse outcome in patients with locally advanced head and neck squamous cell carcinoma undergoing radiochemotherapy. Clinical & Translational Oncology. 23(3). 543–553. 5 indexed citations
3.
Barth, Dominik A., Julia Riedl, Florian Posch, et al.. (2019). Critical evaluation of platelet size as a prognostic biomarker in colorectal cancer across multiple treatment settings: a retrospective cohort study. Clinical & Translational Oncology. 21(8). 1034–1043. 3 indexed citations
4.
Pieringer, Herwig, Max Pichler, Erich Pohanka, & Uta C. Hoppe. (2014). Will Antirheumatic Treatment Improve Cardiovascular Outcomes in Patients with Rheumatoid Arthritis?. Current Pharmaceutical Design. 20(4). 486–495. 9 indexed citations
5.
Absenger, Gudrun, Léonor Benhaïm, Joanna Szkandera, et al.. (2013). The cyclin D1 (CCND1) rs9344 G>A polymorphism predicts clinical outcome in colon cancer patients treated with adjuvant 5-FU-based chemotherapy. The Pharmacogenomics Journal. 14(2). 130–134. 16 indexed citations
6.
Szkandera, Joanna, Gudrun Absenger, Bernadette Liegl‐Atzwanger, et al.. (2013). Elevated preoperative neutrophil/lymphocyte ratio is associated with poor prognosis in soft-tissue sarcoma patients. British Journal of Cancer. 108(8). 1677–1683. 126 indexed citations
7.
Pieringer, Herwig, Tobias Brummaier, Michael Schmid, et al.. (2012). Rheumatoid Arthritis Is an Independent Risk Factor for an Increased Augmentation Index Regardless of the Coexistence of Traditional Cardiovascular Risk Factors. Seminars in Arthritis and Rheumatism. 42(1). 17–22. 14 indexed citations
8.
Pichler, Max, Elke Winter, Michael Stotz, et al.. (2012). Down-regulation of KRAS-interacting miRNA-143 predicts poor prognosis but not response to EGFR-targeted agents in colorectal cancer. British Journal of Cancer. 106(11). 1826–1832. 78 indexed citations
9.
10.
Schuler, Jochen, et al.. (2008). Polypharmacy and inappropriate prescribing in elderly internal-medicine patients in Austria. Wiener klinische Wochenschrift. 120(23-24). 733–741. 99 indexed citations
11.
Slaný, J, D Magometschnigg, Geert Mayer, et al.. (2007). Klassifikation, Diagnostik und Therapie der Hypertonie 2007 - Empfehlungen der Österreichischen Gesellschaft für Hypertensiologie. Journal für Kardiologie (Krause & Pachernegg GmbH). 11(1). 7–11. 5 indexed citations
12.
Pichler, Max. (2006). Symptomatische stabile Angina pectoris: Epidemiologie, therapeutische Option und innovative Therapieansätze. Journal für Kardiologie (Krause & Pachernegg GmbH). 13. 4–5. 1 indexed citations
13.
Hitzenberger, G, D Magometschnigg, Geert Mayer, et al.. (2004). Klassifikation, Diagnostik und Therapie der Hypertonie 2004 - Empfehlungen der Österreichischen Gesellschaft für Hypertensiologie. Journal für Kardiologie (Krause & Pachernegg GmbH). 8(1). 7–11. 2 indexed citations
14.
Friedl, W, et al.. (1999). Relationship between natriuretic peptides and hemodynamics in patients with heart failure at rest and after ergometric exercise. Clinica Chimica Acta. 281(1-2). 121–126. 35 indexed citations
15.
Friedl, W, Johannes Mair, Max Pichler, et al.. (1998). Insertion/deletion polymorphism in the angiotensin-converting enzyme gene is associated with atrial natriuretic peptide activity after exercise. Clinica Chimica Acta. 274(2). 199–211. 11 indexed citations
16.
Shah, Prediman K., Jamshid Maddahi, Daniel S. Berman, Max Pichler, & H.J.C. Swan. (1985). Scintigraphically detected predominant right ventricular dysfunction in acute myocardial infarction: clinical and hemodynamic correlates and implications for therapy and prognosis. Journal of the American College of Cardiology. 6(6). 1264–1272. 104 indexed citations
17.
Pichler, Max, Prediman K. Shah, Thomas Peter, et al.. (1983). Wall motion abnormalities and electrocardiographic changes in acute transmural myocardial infarction: Implications of reciprocal ST segment depression. American Heart Journal. 106(5). 1003–1009. 41 indexed citations
18.
Pichler, Max, et al.. (1981). Effective and safe treatment of hypertensive crisis with nifedipine. The American Journal of Cardiology. 47. 469–469. 4 indexed citations
19.
Tzivoni, Dan, et al.. (1979). Analysis of regional ischemic left ventricular dysfunction by quantitative cineangiography.. Circulation. 60(6). 1278–1283. 19 indexed citations
20.
Pichler, Max, George Diamond, Michael Hirsch, et al.. (1979). Photokymography: A noninvasive method of detecting ischemic segmental myocardial wall motion abnormalities. The American Journal of Cardiology. 43(4). 794–800. 1 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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