Ines Tegtmeier

13 papers receiving 663 citations

Peers

Ines Tegtmeier
Comparison fields: 5 of 67
  • Endocrine and Autonomic Systems 116
  • Endocrinology, Diabetes and Metabolism 231
  • Cellular and Molecular Neuroscience 117
  • Cardiology and Cardiovascular Medicine 119
  • Molecular Biology 377
Replace Christina Sterner with:
Christina Sterner Germany
Sascha Bandulik Germany
W. A. Saad Brazil
M. Verónica Donoso Chile
Erik L. Hodges United States
Queensta Millet United Kingdom
Kazunari Hisadome United Kingdom
Annette Hogg Australia
Ines Tegtmeier relative to Christina Sterner Germany Christina Sterner's profile →
Citations per field
00.5×1.5×
Christina Sterner · 1×
Citations per year

Countries citing papers authored by Ines Tegtmeier

Since Specialization
Citations

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

Fields of papers citing papers by Ines Tegtmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2010177
2 2007149
3 2010131
4 201455
5 201547
6 200741
7 201337
8 20169
9 20207
10 20176
11 20233
12 20222
13 20132
14 20240

About Ines Tegtmeier

Ines Tegtmeier is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 666 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Ion Transport and Channel Regulation (5 papers), Ion channel regulation and function (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuroscience of respiration and sleep (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Renin-Angiotensin System Studies (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (116 citations), Endocrinology, Diabetes and Metabolism (231 citations), Cellular and Molecular Neuroscience (117 citations), Cardiology and Cardiovascular Medicine (119 citations) and Molecular Biology (377 citations). Ines Tegtmeier has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Richard Warth, Christina Sterner, Sascha Bandulik, Markus Reichold, Jacques Barhanin, Dirk Heitzmann, David Pentón, Florian Lesage, Philipp Tauber and Saı̈d Bendahhou. Their work appears in journals such as Endocrinology, Proceedings of the National Academy of Sciences, Respiratory Physiology & Neurobiology, iScience and Pflügers Archiv - European Journal of 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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