Markus Alter

23 papers receiving 844 citations

Peers

Markus Alter
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 458
  • Nephrology 180
  • Cardiology and Cardiovascular Medicine 194
  • Oncology 208
  • Cellular and Molecular Neuroscience 133
Replace Yuliya Sharkovska with:
Yuliya Sharkovska Germany
Motofumi Sasaki Japan
Tsukasa Morii Japan
Hiromi Fujishima Japan
Maria Gerasimova United States
Hirofumi Kurokawa Japan
Irena Duka United States
Naoki Sugano Japan
Jin Joo South Korea
Satoru Tatematsu Japan
Markus Alter relative to Yuliya Sharkovska Germany Yuliya Sharkovska's profile →
Citations per field
00.5×1.6×
Yuliya Sharkovska · 1×
Citations per year

Countries citing papers authored by Markus Alter

Since Specialization
Citations

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

Fields of papers citing papers by Markus Alter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012127
2 2012124
3 201488
4 201676
5 201174
6 201265
7 201238
8 201336
9 201635
10 201133
11 201126
12 200621
13
Renoprotective effects of combined endothelin-converting enzyme/neutral endopeptidase inhibitor SLV338 in acute and chronic experimental renal damage.
201118
14 201117
15 201015
16 200614
17 200612
18 201712
19
The behavior of the reeler neurological mutant mouse.
196811
20 200910

About Markus Alter

Markus Alter is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Physiology, having authored 23 papers that have together received 862 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (7 papers), Diabetes Treatment and Management (5 papers), Renin-Angiotensin System Studies (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Ion channel regulation and function (4 papers), Peptidase Inhibition and Analysis (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (458 citations), Nephrology (180 citations), Cardiology and Cardiovascular Medicine (194 citations), Oncology (208 citations) and Cellular and Molecular Neuroscience (133 citations). Markus Alter has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Berthold Hocher, Oleg Tsuprykov, Thomas Klein, Karoline von Websky, Yuliya Sharkovska, Lyubov Chaykovska, Christoph Reichetzeder, Axel Kretschmer, Andrea Henze and Jens Raila. Their work appears in journals such as Journal of Hypertension, PLoS ONE, Kidney & Blood Pressure Research, Naunyn-Schmiedeberg s Archives of Pharmacology and Journal of Molecular and Cellular Cardiology.

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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