Francisco Ojeda

9.7k total citations
111 papers, 3.2k citations indexed

About

Francisco Ojeda is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Francisco Ojeda has authored 111 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cardiology and Cardiovascular Medicine, 20 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Surgery. Recurrent topics in Francisco Ojeda's work include Acute Myocardial Infarction Research (28 papers), Atrial Fibrillation Management and Outcomes (19 papers) and Cardiac Imaging and Diagnostics (18 papers). Francisco Ojeda is often cited by papers focused on Acute Myocardial Infarction Research (28 papers), Atrial Fibrillation Management and Outcomes (19 papers) and Cardiac Imaging and Diagnostics (18 papers). Francisco Ojeda collaborates with scholars based in Germany, Finland and United Kingdom. Francisco Ojeda's co-authors include Stefan Blankenberg, Tanja Zeller, Renate B. Schnabel, Thomas Münzel, Karl J. Lackner, Philipp S. Wild, Mahir Karakas, Christoph Sinning, Dirk Westermann and Till Keller and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Francisco Ojeda

107 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francisco Ojeda Germany	32	2.0k	617	588	512	401	111	3.2k
Christopher J. Boos United Kingdom	27	1.2k 0.6×	454 0.7×	252 0.4×	566 1.1×	205 0.5×	129	3.2k
Liisa‐Maria Voipio‐Pulkki Finland	28	1.7k 0.8×	542 0.9×	594 1.0×	979 1.9×	175 0.4×	59	3.4k
Suma Konety United States	28	2.9k 1.4×	478 0.8×	424 0.7×	296 0.6×	168 0.4×	77	3.9k
Salim S. Hayek United States	33	1.4k 0.7×	282 0.5×	364 0.6×	478 0.9×	228 0.6×	149	3.5k
Christian Zugck Germany	34	2.5k 1.2×	457 0.7×	397 0.7×	567 1.1×	129 0.3×	112	3.7k
Felicitas Escher Germany	36	3.5k 1.7×	367 0.6×	744 1.3×	1.1k 2.2×	187 0.5×	111	5.9k
Fadi G. Hage United States	31	1.6k 0.8×	1.1k 1.9×	631 1.1×	347 0.7×	95 0.2×	191	3.3k
Benjamin Hibbert Canada	33	1.4k 0.7×	326 0.5×	1.2k 2.0×	521 1.0×	135 0.3×	200	3.4k
Henrik Kjærulf Jensen Denmark	36	3.1k 1.6×	288 0.5×	1.7k 3.0×	836 1.6×	381 1.0×	235	5.2k
Matti Tarkka Finland	31	1.6k 0.8×	237 0.4×	1.3k 2.2×	461 0.9×	326 0.8×	166	3.6k

Countries citing papers authored by Francisco Ojeda

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Ojeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Ojeda

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

All Works

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20 of 20 papers shown

Bacmeister, Lucas, Ersin Çavuş, Sebastian Bohnen, et al.. (2024). Serum Concentrations of Matrix Metalloproteinase‐1 and Procollagen Type I Carboxy Terminal Propeptide Discriminate Infarct‐Like Myocarditis and Non−ST‐Segment−Elevation Myocardial Infarction. Journal of the American Heart Association. 13(14). e034194–e034194.

Blanco, Paula, Lucía García-Pastor, Niccolò Caselli, et al.. (2024). Chromosomal integrons are genetically and functionally isolated units of genomes. Nucleic Acids Research. 52(20). 12565–12581. 3 indexed citations

Ntaios, George, et al.. (2024). New race-free creatinine- and cystatin C-based equations for the estimation of glomerular filtration rate and association with cardiovascular mortality in the AtheroGene study. Internal and Emergency Medicine. 19(3). 697–703. 1 indexed citations

Blaum, Christopher, Christian Kellner, Francisco Ojeda, et al.. (2023). Modifiable risk factors and inflammatory burden stratified by the presence and extent of atherosclerotic cardiovascular disease: insights from a population based cohort study. European Heart Journal. 44(Supplement_2). 1 indexed citations

Ojeda, Francisco, et al.. (2023). Calibrating machine learning approaches for probability estimation: A comprehensive comparison. Statistics in Medicine. 42(29). 5451–5478. 19 indexed citations

Ojeda, Francisco, et al.. (2023). A Simple-to-Use R Package for Mimicking Study Data by Simulations. Methods of Information in Medicine. 62(03/04). 119–129. 1 indexed citations

Bremer, Jan Phillip, et al.. (2023). Prediction of incident heart failure through deep learning-based analysis of 1-lead ECGs. European Heart Journal. 44(Supplement_2).

Aydin, Muhammet Ali, Sebastian Appelbaum, Kari Kuulasmaa, et al.. (2021). Low Testosterone Concentrations and Prediction of Future Heart Failure in Men and in Women: Evidence from the Large FINRISK97 Study. ESC Heart Failure. 8(4). 2485–2491. 9 indexed citations

Schrage, Benedikt, Nicole Rübsamen, Francisco Ojeda, et al.. (2021). Association of Iron Deficiency with Incident Cardiovascular Diseases and Mortality in the General Population. ESC Heart Failure. 8(6). 4584–4592. 19 indexed citations

10.

Sörensen, Nils A., Franz‐Josef Neumann, Francisco Ojeda, et al.. (2018). Relations of Sex to Diagnosis and Outcomes in Acute Coronary Syndrome. Journal of the American Heart Association. 7(6). 25 indexed citations

11.

Zeller, Tanja, Christoph Waldeyer, Francisco Ojeda, et al.. (2018). Adverse Outcome Prediction of Iron Deficiency in Patients with Acute Coronary Syndrome. Biomolecules. 8(3). 60–60. 47 indexed citations

12.

Ojeda, Francisco, Christian Müller, Daniela Börnigen, et al.. (2016). Comparison of Cox Model Methods in a Low-Dimensional Setting with Few Events. Genomics Proteomics & Bioinformatics. 14(4). 235–243. 16 indexed citations

13.

Sinning, Christoph, Tibor Kempf, Michael Schwarzl, et al.. (2016). Biomarkers for characterization of heart failure – Distinction of heart failure with preserved and reduced ejection fraction. International Journal of Cardiology. 227. 272–277. 55 indexed citations

14.

Appelbaum, Sebastian, Dorothee Atzler, Tanja Zeller, et al.. (2015). ADMA, subclinical changes and atrial fibrillation in the general population. International Journal of Cardiology. 203. 640–646. 19 indexed citations

15.

Schnabel, Renate B., Philipp S. Wild, Jürgen H. Prochaska, et al.. (2015). Sex Differences in Correlates of Intermediate Phenotypes and Prevalent Cardiovascular Disease in the General Population. Frontiers in Cardiovascular Medicine. 2. 15–15. 5 indexed citations

16.

Schnabel, Renate B., Philipp S. Wild, Sandra Wilde, et al.. (2014). Multiple Biomarkers and Atrial Fibrillation in the General Population. PLoS ONE. 9(11). e112486–e112486. 38 indexed citations

17.

Sinning, Christoph, Sebastian Appelbaum, Francisco Ojeda, et al.. (2013). Angiographic score assessment improves cardiovascular risk prediction: the clinical value of SYNTAX and Gensini application. Clinical Research in Cardiology. 102(7). 495–503. 132 indexed citations

18.

Keller, Till, Francisco Ojeda, Tanja Zeller, et al.. (2012). Defining a reference population to determine the 99th percentile of a contemporary sensitive cardiac troponin I assay. International Journal of Cardiology. 167(4). 1423–1429. 32 indexed citations

19.

Ojeda, Francisco, et al.. (2012). Linearity Measures of the P-P Plot in the Two-Sample Problem. Revista Colombiana de Estadística. 35(1). 1–14. 2 indexed citations

20.

Beutel, Manfred E., Jörg Wiltink, Philipp S. Wild, et al.. (2012). Type D Personality as a Cardiovascular Risk Marker in the General Population: Results from the Gutenberg Health Study. Psychotherapy and Psychosomatics. 81(2). 108–117. 54 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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