H. R. Figulla

2.2k total citations · 1 hit paper
47 papers, 1.1k citations indexed

About

H. R. Figulla is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, H. R. Figulla has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 10 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in H. R. Figulla's work include Cardiac electrophysiology and arrhythmias (10 papers), Cardiac Arrest and Resuscitation (8 papers) and Cardiac Valve Diseases and Treatments (7 papers). H. R. Figulla is often cited by papers focused on Cardiac electrophysiology and arrhythmias (10 papers), Cardiac Arrest and Resuscitation (8 papers) and Cardiac Valve Diseases and Treatments (7 papers). H. R. Figulla collaborates with scholars based in Germany, France and United States. H. R. Figulla's co-authors include H Kreuzer, S. Sack, Ralf Zahn, Holger Eggebrecht, Jochen Senges, Axel Linke, Ulrich Gerckens, Rainer Hambrecht, Gert Richardt and E. Grube and has published in prestigious journals such as Circulation, European Heart Journal and Heart.

In The Last Decade

H. R. Figulla

43 papers receiving 1.1k citations

Hit Papers

Transcatheter aortic valve implantation: first results fr... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. R. Figulla Germany 16 930 498 244 223 165 47 1.1k
Henry B. Wiles United States 17 648 0.7× 319 0.6× 236 1.0× 241 1.1× 115 0.7× 41 1.0k
Hiroto Utsunomiya Japan 23 1.1k 1.2× 365 0.7× 235 1.0× 451 2.0× 496 3.0× 78 1.5k
Anant Khositseth Thailand 16 615 0.7× 293 0.6× 223 0.9× 187 0.8× 107 0.6× 50 1.0k
Georges Fayad France 20 906 1.0× 331 0.7× 338 1.4× 436 2.0× 105 0.6× 67 1.4k
Andreas Schaefer Germany 17 522 0.6× 383 0.8× 225 0.9× 233 1.0× 107 0.6× 85 885
M. H. Yacoub United Kingdom 17 503 0.5× 314 0.6× 253 1.0× 380 1.7× 93 0.6× 52 1.0k
Claas P. Naehle Germany 22 1.1k 1.2× 203 0.4× 179 0.7× 285 1.3× 1.0k 6.1× 55 1.7k
Tamer Baysal Türkiye 17 223 0.2× 247 0.5× 195 0.8× 208 0.9× 101 0.6× 101 844
Dirk Vollmann Germany 23 1.2k 1.3× 140 0.3× 123 0.5× 156 0.7× 183 1.1× 67 1.5k
Johannes Schwab Germany 17 725 0.8× 152 0.3× 133 0.5× 276 1.2× 283 1.7× 53 925

Countries citing papers authored by H. R. Figulla

Since Specialization
Citations

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

Fields of papers citing papers by H. R. Figulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. R. Figulla. 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 H. R. Figulla. The network helps show where H. R. Figulla may publish in the future.

Co-authorship network of co-authors of H. R. Figulla

This figure shows the co-authorship network connecting the top 25 collaborators of H. R. Figulla. A scholar is included among the top collaborators of H. R. Figulla 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 H. R. Figulla. H. R. Figulla 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.
Fischer, Claudia, Andrea Seeck, Rico Schroeder, et al.. (2015). QT variability improves risk stratification in patients with dilated cardiomyopathy. Physiological Measurement. 36(4). 699–713. 10 indexed citations
2.
Kretzschmar, Daniel, Ilonka Rohm, Stefan Betge, et al.. (2015). Decrease in Circulating Dendritic Cell Precursors in Patients with Peripheral Artery Disease. Mediators of Inflammation. 2015(1). 450957–450957. 11 indexed citations
3.
Lauten, Alexander & H. R. Figulla. (2015). Trikuspidalklappeninterventionen. Herz. 40(5). 759–764. 3 indexed citations
4.
Voss, Andreas, et al.. (2012). Smelling heart failure from human skin odor with an electronic nose. PubMed. 2012. 4034–4037. 24 indexed citations
5.
Pfeifer, Rüdiger, et al.. (2011). Autonomic regulation during mild therapeutic hypothermia in cardiopulmonary resuscitated patients. Clinical Research in Cardiology. 100(9). 797–805. 8 indexed citations
6.
Prochnau, Dirk, et al.. (2010). Induced expression of lectin-like oxidized ldl receptor-1 in vascular smooth muscle cells followingChlamydia pneumoniaeinfection and its down-regulation by fluvastatin. Acta Microbiologica et Immunologica Hungarica. 57(2). 147–155. 9 indexed citations
7.
Neumann, Anja, et al.. (2010). Transcatheter aortic valve implantation: evidence on safety and efficacy compared with medical therapy. A systematic review of current literature. Clinical Research in Cardiology. 100(4). 265–276. 44 indexed citations
8.
Schroeder, Rico, et al.. (2010). Segmented Poincaré Plot Analysis for Risk Stratification in Patients with Dilated Cardiomyopathy. Methods of Information in Medicine. 49(5). 511–515. 33 indexed citations
9.
Sigler, Matthias, et al.. (2009). Transvenous Closure of Patent Foramen Ovale: Preliminary Results with a New Self‐Expanding Nitinol Wire Mesh in a Swine Model. Cardiology Research and Practice. 2009(1). 943453–943453. 8 indexed citations
10.
Jung, Christian, et al.. (2009). Management von Trikuspidalklappenerkrankungen. DMW - Deutsche Medizinische Wochenschrift. 134(44). 2239–2244. 2 indexed citations
11.
Goernig, Matthias, et al.. (2008). Magnetocardiography Based Spatiotemporal Correlation Analysis is Superior to Conventional ECG Analysis for Identifying Myocardial Injury. Annals of Biomedical Engineering. 37(1). 107–111. 19 indexed citations
12.
Betge, Stefan, Eric Schulze‐Bahr, Clemens Fitzek, et al.. (2006). Long-QT-Syndrom als Differenzialdiagnose einer Grand-Mal-Epilepsie. Der Nervenarzt. 77(10). 1210–1217. 4 indexed citations
13.
Pfeifer, Rüdiger, et al.. (2004). Prognose nach Herz-Kreislaufstillstand. Intensivmedizin und Notfallmedizin. 41(3). 171–180. 1 indexed citations
14.
Leder, U., Dirk Hoyer, Martin Sommer, et al.. (2000). Kardiorespiratorische Desynchronisation nach akutem Myokardinfarkt. Zeitschrift für Kardiologie. 89(7). 630–637. 18 indexed citations
15.
Vonhof, Stefan, Brian Brost, Michael Stille‐Siegener, et al.. (1998). Monocyte activation in congestive heart failure due to coronary artery disease and idiopathic dilated cardiomyopathy. International Journal of Cardiology. 63(3). 237–244. 51 indexed citations
16.
Andreas, Stefan, Stefan Vonhof, H Kreuzer, & H. R. Figulla. (1995). Ventilation and dyspnoea during exercise in patients with heart failure. European Heart Journal. 16(12). 1886–1891. 3 indexed citations
17.
Stille‐Siegener, Michael, Albert Heim, & H. R. Figulla. (1995). Subclassification of dilated cardiomyopathy and interferon treatment. European Heart Journal. 16(suppl O). 147–149. 22 indexed citations
18.
Figulla, H. R. & Karl Heinrich Scholz. (1994). [Mechanical cardiac assist systems in intensive care].. PubMed. 83 Suppl 6. 97–109.
19.
Andreas, Stefan, et al.. (1993). Periodic respiration in patients with heart failure. Journal of Molecular Medicine. 71(4). 281–5. 25 indexed citations
20.
Figulla, H. R., F. Vetterlein, V. Wiegand, S. Schüler, & H Kreuzer. (1988). Capillary density and oxygen supply in human dilated cardiomyopathy. Steinkopff eBooks. 76 Suppl 3. 255–259. 6 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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