M. Hohenegger

3.0k citations
127 papers · 2.5k indexed · h-index 25

M. Hohenegger

117 papers receiving 2.4k citations

Peers

M. Hohenegger
Comparison fields: 5 of 120
  • Physiology 695
  • Sensory Systems 338
  • Cellular and Molecular Neuroscience 476
  • Molecular Biology 1.3k
  • Endocrine and Autonomic Systems 100
Replace Kiyoshi Furuichi with:
Kiyoshi Furuichi Japan
John E. Bleasdale United States
Kid Törnquist Finland
Michael W. Roe United States
James L. Ellis United States
Gillian M. Burgess United Kingdom
Soraya S. Smaili Brazil
Erik Gylfe Sweden
Krister Bokvist Sweden
King‐Ho Cheung Hong Kong
M. Hohenegger relative to Kiyoshi Furuichi Japan Kiyoshi Furuichi's profile →
Citations per field
00.5×1.5×2.3×
Kiyoshi Furuichi · 1×
Citations per year

Countries citing papers authored by M. Hohenegger

Since Specialization
Citations

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

Fields of papers citing papers by M. Hohenegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 201816
5 201339
6 200988
7 200510
8 200582
9 200465
10 200318
11 1999253
12 199919
13 1998117
14 19936
15 199010
16 19901
17 19892
18 198810
19
On the renal balances for different lipid fractions in dog.
19772
20
[Kidney failure in experimental diabetes mellitus].
19711

About M. Hohenegger

M. Hohenegger is a scholar working on Physiology, Clinical Biochemistry, Nephrology, Biochemistry and Physiology, having authored 127 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diet and metabolism studies (19 papers), Ion channel regulation and function (18 papers), Metabolism and Genetic Disorders (16 papers), Electrolyte and hormonal disorders (14 papers), Receptor Mechanisms and Signaling (11 papers), Cancer, Lipids, and Metabolism (11 papers), Renal function and acid-base balance (10 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Physiology (695 citations), Sensory Systems (338 citations), Cellular and Molecular Neuroscience (476 citations), Molecular Biology (1.3k citations) and Endocrine and Autonomic Systems (100 citations). M. Hohenegger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Michael Freissmuth, Christian Nanoff, J. Suko, W. Beindl, Lukas Weigl, Martin Werner, Julia Sacher, Adriaan P. IJzerman, Peter Nickel and Andreas H. Guse. Their work appears in journals such as Biochemical Journal, Pharmacology, Molecular Pharmacology, Journal of Biological Chemistry and British Journal of Pharmacology.

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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