Alejandro Orlowski

502 citations
30 papers · 377 · h-index 12

Impact in

Papers in

Alejandro Orlowski

27 papers receiving 376 citations

Peers

Alejandro Orlowski
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 136
  • Molecular Biology 281
  • Nephrology 19
  • Genetics 68
  • Endocrinology, Diabetes and Metabolism 40
Replace Steve T. Yeh with:
Steve T. Yeh United States
Anne Debonneville Switzerland
Erwen Huang China
Pablo Rivera-Mejías Chile
Hong Yu Wang China
Rodolfo Battista Italy
Dong Zheng China
Yingfeng Tu China
Almudena Val‐Blasco Spain
Manoj K. Mishra United States
Alejandro Orlowski relative to Steve T. Yeh United States Steve T. Yeh's profile →
Citations per field
00.5×1.5×2.1×
Steve T. Yeh · 1×
Citations per year

Countries citing papers authored by Alejandro Orlowski

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Orlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202056
2 201249
3 201136
4 201629
5 201526
6 201622
7 201021
8 201320
9 201417
10 201915
11 201614
12 201412
13 201910
14 20138
15 20227
16 20176
17 20225
18 20145
19 20214
20 20133

About Alejandro Orlowski

Alejandro Orlowski is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Genetics and Infectious Diseases, having authored 30 papers that have together received 377 indexed citations. Recurring topics across this work include Ion channel regulation and function (17 papers), Cardiac electrophysiology and arrhythmias (15 papers), Ion Transport and Channel Regulation (14 papers), Virus-based gene therapy research (3 papers), Heart Failure Treatment and Management (2 papers), Hormonal Regulation and Hypertension (2 papers), Receptor Mechanisms and Signaling (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (136 citations), Molecular Biology (281 citations), Nephrology (19 citations), Genetics (68 citations) and Endocrinology, Diabetes and Metabolism (40 citations). Alejandro Orlowski has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include Ernesto A. Aiello, Verónica Celeste De Giusti, Bernardo V. Álvarez, Thomas Weber, Patricio E. Morgan, Kenneth Fish, Anthony S. Fargnoli, Michael G. Katz, Sarah M Gubara and María C. Villa‐Abrille. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Journal of Molecular and Cellular Cardiology, Life Sciences, Cardiovascular Pathology and Channels.

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.

Explore authors with similar magnitude of impact