Marko Bertog

1.9k citations
32 papers · 1.2k indexed · h-index 20

Marko Bertog

32 papers receiving 1.2k citations

Peers

Marko Bertog
Comparison fields: 5 of 78
  • Nephrology 209
  • Sensory Systems 78
  • Molecular Biology 819
  • Endocrinology, Diabetes and Metabolism 195
  • Pulmonary and Respiratory Medicine 369
Replace Taku Miyoshi with:
Taku Miyoshi Japan
Lihe Chen United States
Chou‐Long Huang United States
Tetsuo Morioka Japan
Koichiro Susa Japan
Morimasa Amemiya Japan
Mona Oppermann Germany
Otor Al‐Khalili United States
M Naruse Japan
Ying Jin China
Marko Bertog relative to Taku Miyoshi Japan Taku Miyoshi's profile →
Citations per field
00.5×2.8×
Taku Miyoshi · 1×
Citations per year

Countries citing papers authored by Marko Bertog

Since Specialization
Citations

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

Fields of papers citing papers by Marko Bertog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202220
3 202128
4 202012
5 201772
6 201428
7 201419
8
Reducing noradrenergic stimulation of the epithelial sodium channel (ENaC) may contribute to the blood pressure lowering effect of renal sympathetic denervation
20131
9 200978
10 2008202
11 200845
12 200749
13 200467
14 20028
15 200256
16 199972
17 19982
18 199824
19 199756
20 19969

About Marko Bertog

Marko Bertog is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Molecular Biology and Genetics, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (24 papers), Electrolyte and hormonal disorders (12 papers), Ion channel regulation and function (8 papers), Hormonal Regulation and Hypertension (8 papers), Dialysis and Renal Disease Management (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Sodium Intake and Health (2 papers). The work is most often cited by research in Nephrology (209 citations), Sensory Systems (78 citations), Molecular Biology (819 citations), Endocrinology, Diabetes and Metabolism (195 citations) and Pulmonary and Respiratory Medicine (369 citations). Marko Bertog has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christoph Korbmacher, Viatcheslav Nesterov, Bettina Krueger, Silke Haerteis, Anke Dahlmann, John E. Cuffe, Nigel W. Bunnett, Michael Fromm, Jörg–Dieter Schulzke and A. H. Gitter. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Pflügers Archiv - European Journal of Physiology, The Journal of Physiology, Journal of Biological Chemistry and Journal of the American Society of Nephrology.

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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