Peter Lippolt

3.8k total citations · 2 hit papers
18 papers, 2.8k citations indexed

About

Peter Lippolt is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter Lippolt has authored 18 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 11 papers in Surgery and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter Lippolt's work include Cardiac Imaging and Diagnostics (8 papers), Coronary Interventions and Diagnostics (7 papers) and Acute Myocardial Infarction Research (5 papers). Peter Lippolt is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Coronary Interventions and Diagnostics (7 papers) and Acute Myocardial Infarction Research (5 papers). Peter Lippolt collaborates with scholars based in Germany and Netherlands. Peter Lippolt's co-authors include Kai C. Wollert, Lubomir Arseniev, Joachim Lotz, Arnold Ganser, Stephanie Fichtner, Helmut Drexler, Gerd Peter Meyer, Bernd Hertenstein, Thomas Korte and Diethelm Messinger and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Peter Lippolt

17 papers receiving 2.7k citations

Hit Papers

Intracoronary autologous bone-marrow cell transfer after ... 2004 2026 2011 2018 2004 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Lippolt Germany 11 1.9k 1.6k 1.0k 866 696 18 2.8k
Michael Brehm Germany 18 1.7k 0.9× 1.5k 0.9× 1.1k 1.0× 664 0.8× 809 1.2× 30 2.8k
Guilherme V. Silva United States 15 2.0k 1.0× 1.7k 1.0× 1.0k 1.0× 906 1.0× 534 0.8× 56 2.9k
A Sousa Brazil 11 1.6k 0.8× 1.5k 0.9× 845 0.8× 748 0.9× 406 0.6× 22 2.3k
Claudius Teupe Germany 14 2.1k 1.1× 1.9k 1.1× 1.6k 1.5× 887 1.0× 754 1.1× 32 3.7k
Veronica Poppa United States 10 2.1k 1.1× 1.4k 0.9× 1.6k 1.5× 913 1.1× 438 0.6× 11 3.1k
Stephanie Fichtner Germany 20 1.9k 1.0× 1.6k 1.0× 1.0k 1.0× 842 1.0× 1.2k 1.7× 52 3.3k
Shinji Tomita Japan 19 1.7k 0.9× 1.3k 0.8× 772 0.7× 795 0.9× 512 0.7× 62 2.4k
Shin Takuma United States 12 1.1k 0.6× 1.0k 0.6× 1.1k 1.1× 432 0.5× 580 0.8× 19 2.4k
Thomas Korte Germany 17 1.3k 0.7× 1.0k 0.6× 707 0.7× 515 0.6× 1.1k 1.6× 48 2.5k
João A.R. Assad Brazil 8 1.5k 0.8× 1.4k 0.8× 806 0.8× 709 0.8× 326 0.5× 14 2.1k

Countries citing papers authored by Peter Lippolt

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lippolt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Lippolt

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

All Works

18 of 18 papers shown
1.
2.
Wollert, Kai C., Joachim Lotz, Peter Lippolt, et al.. (2009). Intracoronary bone marrow cell transfer after myocardial infarction: 5-year follow-up from the randomized-controlled BOOST trial. European Heart Journal. 30(24). 2978–2984. 230 indexed citations
3.
Klein, Gunnar, Ajmal Gardiwal, Hanno Oswald, et al.. (2006). Predictors of VT/VF-occurrence in ICD patients: results from the PROFIT-Study. EP Europace. 8(8). 618–624. 55 indexed citations
4.
Klein, Gunnar, Ajmal Gardiwal, Maximilian Pichlmaier, et al.. (2006). P6-100. Heart Rhythm. 3(5). S334–S335. 4 indexed citations
5.
Meyer, Gerd Peter, Kai C. Wollert, Joachim Lotz, et al.. (2006). Intracoronary Bone Marrow Cell Transfer After Myocardial Infarction. Circulation. 113(10). 1287–1294. 732 indexed citations breakdown →
6.
Wollert, Kai C., Gerd Peter Meyer, Joachim Lotz, et al.. (2004). Intracoronary autologous bone-marrow cell transfer after myocardial infarction: the BOOST randomised controlled clinical trial. The Lancet. 364(9429). 141–148. 1618 indexed citations breakdown →
7.
Jost, Stefan, et al.. (1997). Influence of radiographic contrast agents on quantitative coronary angiography. CardioVascular and Interventional Radiology. 20(1). 5–9. 4 indexed citations
8.
Hausmann, Dirk, et al.. (1997). Acute Effects of Celiprolol on Angiographically Normal and Stenotic Coronary Arteries. Cardiovascular Drugs and Therapy. 11(2). 133–138. 3 indexed citations
9.
Lichtlen, P, Peter Lippolt, & W. Rafflenbeul. (1996). Retardation of Angiographic Progression of Coronary Artery Disease by Nifedipine: The 6-Year Follow-Up Study of INTACT(International Nifedipine Trial on Antiatherosclerotic Therapy).. Journal of Cardiovascular Pharmacology. 28. 10–21. 1 indexed citations
10.
Nikutta, Peter, et al.. (1996). Association between coronary occlusions and myocardial infarcts. International Journal of Cardiology. 55(2). 143–148. 2 indexed citations
11.
Jost, Stefan, Matthias Stürm, Dirk Hausmann, Peter Lippolt, & P. R. Lichtlen. (1996). Standardization of coronary vasomotor tone with intracoronary nitroglycerin. The American Journal of Cardiology. 78(1). 120–123. 11 indexed citations
12.
Jost, Stefan, Jaap W. Deckers, Peter Nikutta, et al.. (1994). Evolution of coronary stenoses is related to baseline severity—a prospective quantitative angiographic analysis in patients with moderate coronary disease. European Heart Journal. 15(5). 648–653. 13 indexed citations
13.
Jost, Stefan, Jaap W. Deckers, Peter Nikutta, et al.. (1993). Progression of coronary artery disease is dependent on anatomic location and diameter. Journal of the American College of Cardiology. 21(6). 1339–1346. 26 indexed citations
14.
Jost, Stefan, Jaap W. Deckers, Wolf Rafflenbeul, et al.. (1993). Quantitative angiographic follow-up studies on the development of coronary artery disease: which coronary segments should be analyzed?. International journal of cardiac imaging. 9(1). 29–37. 2 indexed citations
15.
Jost, Stefan, W. Rafflenbeul, Jaap W. Deckers, et al.. (1992). Concept of an antiatherosclerotic efficacy of calcium entry blockers. European Journal of Epidemiology. 8(S1). 107–119. 6 indexed citations
16.
Jost, S, W. Rafflenbeul, C. Bossaller, et al.. (1989). Drug plasma levels and coronary vasodilation after isosorbide dinitrate chewing capsules. European Heart Journal. 10(suppl F). 137–141. 10 indexed citations
17.
Jost, S, W. Rafflenbeul, U Nellessen, et al.. (1989). Coronary vasodilation with dihydropyridines--A pharmacokinetic study. European Heart Journal. 10(suppl F). 147–152. 10 indexed citations
18.
Jost, S, Jaap W. Deckers, U Nellessen, et al.. (1989). [Computer-assisted geometric measuring technic in coronary angiography interval studies: results of initial angiograms of the International Nifedipine Trial of Anti-atherosclerotic Therapy (INTACT) study].. PubMed. 78(1). 23–32. 11 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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