Diego Albrecht

897 citations
17 papers · 715 · h-index 9

Impact in

Papers in

Diego Albrecht

16 papers receiving 698 citations

Peers

Diego Albrecht
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 424
  • Cardiology and Cardiovascular Medicine 333
  • Surgery 177
  • Oncology 102
  • Pharmacology 51
Replace Kazuhito Shiosakai with:
Kazuhito Shiosakai Japan
Guangyao Wang China
T. Fasanella D'amore United States
Atheline Major‐Pedersen Denmark
Noriko Ban Japan
Melissa Magwire United States
TERUHISA UMEDA Japan
Toshio Morise Japan
Masayuki Yamaji Japan
Diego Albrecht relative to Kazuhito Shiosakai Japan Kazuhito Shiosakai's profile →
Citations per field
00.5×3.2×
Kazuhito Shiosakai · 1×
Citations per year

Countries citing papers authored by Diego Albrecht

Since Specialization
Citations

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

Fields of papers citing papers by Diego Albrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007314
2 2017116
3 201689
4 201666
5 201731
6 201627
7 201627
8 19978
9 20188
10 20168
11
Natriuretic peptide inhibition in the presence of angioten-sin receptor blockade following short-term treatment with LCZ 696 in heart failure patients: effect on ANP, BNP, NT-proBNP and cGMP
20116
12
Abstract 19378: First Experience with Concomitant AT1 and Neprilysin (NEP 24.11) Inhibition with LCZ696 in Patients with Chronic Heart Failure
20104
13 20134
14 20123
15 20133
16
[Aescin for the treatment of edema in urology].
19681
17 20130

About Diego Albrecht

Diego Albrecht is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology and Surgery, having authored 17 papers that have together received 715 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (8 papers), Hormonal Regulation and Hypertension (6 papers), Receptor Mechanisms and Signaling (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Blood Pressure and Hypertension Studies (2 papers), Renin-Angiotensin System Studies (2 papers), Adipose Tissue and Metabolism (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (424 citations), Cardiology and Cardiovascular Medicine (333 citations), Surgery (177 citations), Oncology (102 citations) and Pharmacology (51 citations). Diego Albrecht has collaborated with scholars based in Switzerland, India and Germany. Frequent co-authors include Michelle A. Baron, S. Dejager, Vivian Fonseca, Anja Schweizer, Thomas Langenickel, Parasar Pal, Tim Heise, Surya Ayalasomayajula, Gijs H. Goossens and Marcus May. Their work appears in journals such as Hypertension, European Heart Journal, Scientific Reports, Xenobiotica and Diabetologia.

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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