Daniel Jodocy

431 total citations
10 papers, 333 citations indexed

About

Daniel Jodocy is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Jodocy has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Jodocy's work include Cardiac Imaging and Diagnostics (8 papers), Advanced X-ray and CT Imaging (3 papers) and Coronary Interventions and Diagnostics (2 papers). Daniel Jodocy is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Advanced X-ray and CT Imaging (3 papers) and Coronary Interventions and Diagnostics (2 papers). Daniel Jodocy collaborates with scholars based in Austria and United States. Daniel Jodocy's co-authors include Gudrun Feuchtner, Andrea Klauser, Werner Jaschke, Guy Friedrich, Wolfgang Dichtl, Silvana Müller, Johannes Bonatti, Otmar Pachinger, Thomas Schachner and Ammar Mallouhi and has published in prestigious journals such as Circulation, Journal of Thoracic and Cardiovascular Surgery and American Journal of Roentgenology.

In The Last Decade

Daniel Jodocy

10 papers receiving 327 citations

Peers

Daniel Jodocy

RNMI

CCM

SURGE

PRM

Kikuko Obase Japan

Jiefen Yao United States

Christine M. Tonge United Kingdom

Shant Manoushagian United States

W.Richard Cashion United States

J. Nossen Germany

Fumio Inoue Japan

Hany Awadalla United States

Jochen Hansmann Germany

Yasuhiro Ichibori Japan

Kikuko Obase Japan

Daniel Jodocy

186 ×0.8

RNMI

397 ×2.8

CCM

29 ×0.2

141 ×1.6

SURGE

51 ×0.7

PRM

Citations per year, relative to Daniel Jodocy Daniel Jodocy (= 1×) peers Kikuko Obase

Countries citing papers authored by Daniel Jodocy

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Jodocy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Jodocy

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

All Works

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10 of 10 papers shown

Jodocy, Daniel, Ivo Graziadei, Wolfgang Vogel, et al.. (2011). Coronary computer tomographic angiography for preoperative risk stratification in patients undergoing liver transplantation. European Journal of Radiology. 81(9). 2260–2264. 32 indexed citations

Feuchtner, Gudrun, Ricardo C. Cury, Daniel Jodocy, et al.. (2010). Differences in coronary plaque composition by noninvasive computed tomography angiography in individuals with and without obstructive coronary artery disease. Atherosclerosis. 215(1). 90–95. 13 indexed citations

Jodocy, Daniel, et al.. (2009). Clinical relevance and scope of accidental extracoronary findings in coronary computed tomography angiography: A cardiac versus thoracic FOV study. European Journal of Radiology. 74(1). 166–174. 26 indexed citations

Feuchtner, Gudrun, et al.. (2009). Radiation dose reduction by using 100-kV tube voltage in cardiac 64-slice computed tomography: A comparative study. European Journal of Radiology. 75(1). e51–e56. 106 indexed citations

Jodocy, Daniel, Guy Friedrich, Johannes Bonatti, et al.. (2008). Left main compression syndrome by idiopathic pulmonary artery aneurysm caused by medial necrosis Erdheim-Gsell combined with bicuspid pulmonary valve. Journal of Thoracic and Cardiovascular Surgery. 138(1). 234–236. 11 indexed citations

Jodocy, Daniel, Guy Friedrich, Ammar Mallouhi, et al.. (2008). Left anterior descending coronary artery myocardial bridging by multislice computed tomography: Correlation with clinical findings. European Journal of Radiology. 73(1). 89–95. 33 indexed citations

Feuchtner, Gudrun, Daniel Jodocy, Ricardo C. Cury, et al.. (2008). Abstract 685: Atherosclerotic Plaque Composition Among patients with Stenotic Coronary Artery Disease on Non Invasive Coronary CT Angiography. Circulation. 118(suppl_18). 1 indexed citations

Feuchtner, Gudrun, Wolfgang Dichtl, Johannes Bonatti, et al.. (2008). Diagnostic Accuracy of Cardiac 64-Slice Computed Tomography in Detecting Atrial Thrombi. Investigative Radiology. 43(11). 794–801. 34 indexed citations

Feuchtner, Gudrun, Wolfgang Dichtl, Silvana Müller, et al.. (2008). 64-MDCT for Diagnosis of Aortic Regurgitation in Patients Referred to CT Coronary Angiography. American Journal of Roentgenology. 191(1). W1–W7. 55 indexed citations

10.

Feuchtner, Gudrun, Franz Weidinger, Matthias Frick, et al.. (2007). Is There a Relation between Non-Calcifying Coronary Plaques and Acute Coronary Syndromes? A Retrospective Study Using Multislice Computed Tomography. Cardiology. 110(4). 241–248. 22 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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