Ingo Morano

6.3k citations
151 papers · 5.1k indexed · h-index 39

Ingo Morano

151 papers receiving 5.0k citations

Peers

Ingo Morano
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 2.5k
  • Molecular Biology 3.2k
  • Cellular and Molecular Neuroscience 489
  • Cell Biology 392
  • Physiology 524
Replace Gabriele Pfitzer with:
Gabriele Pfitzer Germany
Kristine E. Kamm United States
Péter T. Tóth United States
Susanne Feil Germany
Hiroaki Ohkubo Japan
José L. Boyer United States
Yusu Gu United States
Kunfu Ouyang China
Roberto Ravazzolo Italy
Lincoln R. Potter United States
Ingo Morano relative to Gabriele Pfitzer Germany Gabriele Pfitzer's profile →
Citations per field
00.5×1.5×
Gabriele Pfitzer · 1×
Citations per year

Countries citing papers authored by Ingo Morano

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Morano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ingo Morano, 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 Ingo Morano Line = papers co-authored together Ingo Morano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20165
2 201414
3 201124
4 201114
5 201011
6 200915
7 200872
8 200736
9 200436
10 200417
11 200212
12 1998103
13 199714
14 199734
15 199654
16 1994126
17 199211
18 198927
19 198831
20 198835

About Ingo Morano

Ingo Morano is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience and Physiology, having authored 151 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (71 papers), Muscle Physiology and Disorders (39 papers), Cardiovascular Effects of Exercise (36 papers), Ion channel regulation and function (25 papers), Cardiac electrophysiology and arrhythmias (22 papers), Cardiovascular Function and Risk Factors (15 papers), Muscle metabolism and nutrition (11 papers) and Viral Infections and Immunology Research (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.5k citations), Molecular Biology (3.2k citations), Cellular and Molecular Neuroscience (489 citations), Cell Biology (392 citations) and Physiology (524 citations). Ingo Morano has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Hannelore Haase, Johann Caspar Rüegg, Erland Erdmann, Joachim Behlke, Anders Arner, H. Haase, J C Rüegg, Annette Hohaus, Valéria Lamounier‐Zepter and Carsten Lindschau. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Molecular and Cellular Cardiology, Circulation Research, The FASEB Journal and Biochemical and Biophysical Research Communications.

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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