Ralf J. Dirschinger

1.6k citations
36 papers · 1.3k · h-index 17

Impact in

Papers in

Ralf J. Dirschinger

34 papers receiving 1.2k citations

Peers

Ralf J. Dirschinger
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 440
  • Molecular Biology 712
  • Cellular and Molecular Neuroscience 147
  • Hematology 87
  • Aging 13
Replace Yunqing Shi with:
Yunqing Shi China
Shunsuke Kawamoto Japan
Kunitaka Joo Japan
Michael Maysky United States
Fiona Kennedy United Kingdom
Joel Schneider United States
Kishor G. Lathi United States
Michael Del Tatto United States
Cemil Özcelik Germany
Jean-Pierre Gueffet France
Ralf J. Dirschinger relative to Yunqing Shi China Yunqing Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ralf J. Dirschinger

Since Specialization
Citations

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

Fields of papers citing papers by Ralf J. Dirschinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralf J. Dirschinger. 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 Ralf J. Dirschinger. The network helps show where Ralf J. Dirschinger may publish in the future.

Co-authors

The 25 scholars most cited alongside Ralf J. Dirschinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ralf J. Dirschinger Line = papers co-authored together Ralf J. Dirschinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011272
2 2020188
3 2011116
4 2016106
5 2003100
6 201872
7 201472
8 201542
9 201835
10 201426
11 201425
12 201524
13 202022
14 201921
15 201621
16 201221
17 201818
18 201617
19 201414
20 201211

About Ralf J. Dirschinger

Ralf J. Dirschinger is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (5 papers), Peripheral Artery Disease Management (5 papers), Congenital heart defects research (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Neuroscience and Neural Engineering (3 papers), Cardiovascular Function and Risk Factors (2 papers) and Diagnosis and Treatment of Venous Diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (440 citations), Molecular Biology (712 citations), Cellular and Molecular Neuroscience (147 citations), Hematology (87 citations) and Aging (13 citations). Ralf J. Dirschinger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Karl‐Ludwig Laugwitz, Daniel Sinnecker, Alexander Goedel, Alessandra Moretti, Tatjana Dorn, Peter Lipp, Jason T. Lam, Tareq Ibrahim, Hans Kossmann and Melchior Seyfarth. Their work appears in journals such as Journal of the American Heart Association, Journal of Visualized Experiments, Journal of the American College of Cardiology, Clinical Research in Cardiology and Frontiers in Physiology.

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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