Ines Pagel

537 citations
14 papers · 452 · h-index 11

Impact in

Papers in

Ines Pagel

14 papers receiving 441 citations

Peers

Ines Pagel
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 264
  • Pathology and Forensic Medicine 55
  • Molecular Biology 207
  • Endocrinology, Diabetes and Metabolism 46
  • Aging 4
Replace Ilona Cuijpers with:
Ilona Cuijpers Netherlands
Hidetoshi Okazaki Japan
G. Stämmler Germany
Daniela Miranda‐Silva Portugal
Jieyun You China
Marisa Sepúlveda United States
Anna Maria Lucchese United States
Beate Fiedler Germany
Yangang Su China
Genji Toda Japan
Ines Pagel relative to Ilona Cuijpers Netherlands Ilona Cuijpers's profile →
Citations per field
00.5×6.5×
Ilona Cuijpers · 1×
Citations per year

Countries citing papers authored by Ines Pagel

Since Specialization
Citations

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

Fields of papers citing papers by Ines Pagel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200096
2 200580
3 200258
4 200150
5 200441
6 200439
7 200418
8 200315
9 200214
10 199913
11 200712
12 19996
13 19995
14 20025

About Ines Pagel

Ines Pagel is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Surgery, having authored 14 papers that have together received 452 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (6 papers), Neuropeptides and Animal Physiology (3 papers), Hormonal Regulation and Hypertension (3 papers), Signaling Pathways in Disease (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Renin-Angiotensin System Studies (2 papers), Receptor Mechanisms and Signaling (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (264 citations), Pathology and Forensic Medicine (55 citations), Molecular Biology (207 citations), Endocrinology, Diabetes and Metabolism (46 citations) and Aging (4 citations). Ines Pagel has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Roland Willenbrock, Rainer Dietz, Thomas Langenickel, Michael N. Sack, Christopher J. McLeod, Sebastian Philipp, Jens Buttgereit, Michael Bäder, Mathias Knecht and Kristof Graf. Their work appears in journals such as Life Sciences, Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, Journal of the American Society of Nephrology and Advances in experimental medicine and biology.

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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