G Siffert

1.1k citations
8 papers · 923 indexed · 1 hit paper · h-index 8

Impact in

Papers in

G Siffert

8 papers receiving 890 citations

Hit Papers

Association of a human G-protein β3 subunit variant with hypertension 1998 · 612 citations
6121998202620072016200400600

Peers

G Siffert
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 276
  • Cardiology and Cardiovascular Medicine 273
  • Nephrology 53
  • Molecular Biology 439
  • Genetics 163
Replace Nobuyuki Banba with:
Nobuyuki Banba Japan
Masanori Iwase Japan
Naoki Tamasawa Japan
Mariette Barthelmebs France
Philip G. Baer United States
S Fukuchi Japan
Tomohiko Ishikawa Japan
K D Kurz United States
Grazia Tripodi Italy
Masao Kurosumi Japan
G Siffert relative to Nobuyuki Banba Japan Nobuyuki Banba's profile →
Citations per field
00.5×2.8×
Nobuyuki Banba · 1×
Citations per year

Countries citing papers authored by G Siffert

Since Specialization
Citations

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

Fields of papers citing papers by G Siffert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside G Siffert, 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 G Siffert Line = papers co-authored together G Siffert links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 199862
2
Association of a human G-protein β3 subunit variant with hypertension
Hit paper breakdown →
1998612
3 199233
4
Platelet Na(+)-H+ exchanger activity in normotensive and hypertensive subjects: effect of enalapril therapy upon antiport activity.
199248
5 199037
6 198937
7 198739
8 198755

About G Siffert

G Siffert is a scholar working on Nephrology, Immunology and Allergy, Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 923 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (4 papers), Erythrocyte Function and Pathophysiology (2 papers), Renal function and acid-base balance (2 papers), Surfactants and Colloidal Systems (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Ion channel regulation and function (1 paper), Electrolyte and hormonal disorders (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (276 citations), Cardiology and Cardiovascular Medicine (273 citations), Nephrology (53 citations), Molecular Biology (439 citations) and Genetics (163 citations). G Siffert has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Winfried Siffert, Dieter Rosskopf, Stefan Busch, Eberhard Ritz, Raimund Erbel, H.‐Erich Wichmann, Arya M. Sharma, Karl H. Jakobs, Bernhard Horsthemke and Albrecht Moritz. Their work appears in journals such as FEBS Letters, Biochemical Journal, Nature Genetics, Journal of Hypertension and Journal of Biological Chemistry.

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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