Stephan Formella

424 total citations
7 papers, 324 citations indexed

About

Stephan Formella is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Internal Medicine. According to data from OpenAlex, Stephan Formella has authored 7 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Internal Medicine. Recurrent topics in Stephan Formella's work include Cardiac Arrhythmias and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Asthma and respiratory diseases (2 papers). Stephan Formella is often cited by papers focused on Cardiac Arrhythmias and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Asthma and respiratory diseases (2 papers). Stephan Formella collaborates with scholars based in Germany, Canada and Australia. Stephan Formella's co-authors include Andreas Clemens, Karl‐Heinz Liesenfeld, Sebastian Härtter, Thorsten Lehr, Stuart J. Connolly, Michael D. Ezekowitz, Erol Wiegert, Viktoria Moschetti, Harm Peters and Jeffrey Friedman and has published in prestigious journals such as Blood, European Heart Journal and Thrombosis and Haemostasis.

In The Last Decade

Stephan Formella

7 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Formella Germany 6 266 167 45 28 26 7 324
P.A. Stangl Austria 5 243 0.9× 116 0.7× 26 0.6× 111 4.0× 9 0.3× 12 322
Machteld Langenberg Netherlands 8 244 0.9× 127 0.8× 36 0.8× 89 3.2× 8 0.3× 9 336
Laurent Fauchier France 8 426 1.6× 188 1.1× 18 0.4× 19 0.7× 8 0.3× 9 463
Ramin Artang United States 9 319 1.2× 145 0.9× 26 0.6× 81 2.9× 6 0.2× 16 399
Benjamin E. Peterson United States 6 178 0.7× 56 0.3× 17 0.4× 74 2.6× 2 0.1× 16 273
Peter J Svensson Sweden 13 480 1.8× 207 1.2× 11 0.2× 44 1.6× 4 0.2× 19 521
Yves De Greef Belgium 15 535 2.0× 75 0.4× 23 0.5× 34 1.2× 12 0.5× 45 563
Jack J. Chavez United States 8 221 0.8× 168 1.0× 39 0.9× 125 4.5× 9 0.3× 8 415
Gloria Kayani United Kingdom 8 461 1.7× 168 1.0× 7 0.2× 30 1.1× 3 0.1× 15 503
Carolyn S.P. Lam Singapore 7 258 1.0× 46 0.3× 20 0.4× 37 1.3× 11 0.4× 18 315

Countries citing papers authored by Stephan Formella

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Formella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Formella

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

All Works

7 of 7 papers shown
1.
Kunz, Christina, Stephan Formella, Martina Wein, et al.. (2016). Pharmacokinetics and safety of olodaterol administered with the Respimat Soft Mist inhaler in subjects with impaired hepatic or renal function. International Journal of COPD. 11. 585–585. 4 indexed citations
2.
Borghardt, Jens Markus, Benjamin Weber, Alexander Staab, et al.. (2015). Investigating pulmonary and systemic pharmacokinetics of inhaled olodaterol in healthy volunteers using a population pharmacokinetic approach. British Journal of Clinical Pharmacology. 81(3). 538–552. 32 indexed citations
3.
Liesenfeld, Karl‐Heinz, Alexander Staab, Sebastian Härtter, et al.. (2013). Pharmacometric Characterization of Dabigatran Hemodialysis. Clinical Pharmacokinetics. 52(6). 453–462. 40 indexed citations
4.
Formella, Stephan, Erol Wiegert, Viktoria Moschetti, et al.. (2013). Effective elimination of dabigatran by haemodialysis. Thrombosis and Haemostasis. 109(4). 596–605. 159 indexed citations
5.
Nieuwlaat, Robby, Michael D. Ezekowitz, Paul A. Reilly, et al.. (2013). Management of dyspepsia symptoms on dabigatran during RELY-ABLE: long-term follow up study after RE-LY. European Heart Journal. 34(suppl 1). P549–P549. 9 indexed citations
6.
Bytzer, Peter, Stuart J. Connolly, Sean Yang, et al.. (2012). Analysis of Upper Gastrointestinal Adverse Events Among Patients Given Dabigatran in the RE-LY Trial. Clinical Gastroenterology and Hepatology. 11(3). 246–252.e5. 73 indexed citations
7.
Lange, Jessica, Christian Thiel, Karolin Thiel, et al.. (2012). Acceleration of Dabigatran Elimination by Activated Charcoal Perfusion and Hemodialysis in a Pig Model.. Blood. 120(21). 2272–2272. 7 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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