G Loute
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Renal Diseases and Glomerulopathies
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Renal Diseases and Glomerulopathies 4
- Gout, Hyperuricemia, Uric Acid 3
-
- Potassium and Related Disorders 2
- Kidney Stones and Urolithiasis Treatments 2
- Co-authors
- Yves Pirson (6 shared papers)Karin Dahan (7 shared papers)Jean‐Pierre Cosyns (3 shared papers)Christine Verellen‐Dumoulin (2 shared papers)C. Cornù (4 shared papers)Patrick Goubau (4 shared papers)Michel Jadoul (4 shared papers)Didier Vertommen (1 shared paper)
In The Last Decade
G Loute
14 papers receiving 371 citations
Peers
Comparison fields: 5 of 55
- Nephrology 174
- Hepatology 54
- Genetics 45
- Pulmonary and Respiratory Medicine 133
- Pediatrics, Perinatology and Child Health 72
Countries citing papers authored by G Loute
This map shows the geographic impact of G Loute'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 Loute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Loute more than expected).
Fields of papers citing papers by G Loute
This network shows the impact of papers produced by G Loute. 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 Loute. The network helps show where G Loute may publish in the future.
Co-authors
The 25 scholars most cited alongside G Loute, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 161 | |
| 2 | 2001 | 67 | |
| 3 | 1999 | 48 | |
| 4 | 1997 | 33 | |
| 5 | 2000 | 19 | |
| 6 | 1998 | 15 | |
| 7 | 1998 | 12 | |
| 8 | 1998 | 9 | |
| 9 | 1986 | 6 | |
| 10 | 1987 | 5 | |
| 11 | [Kinins: their nature and their potential role in the cardiovascular effects of angiotensin-converting enzyme inhibitors]. | 2000 | 3 |
| 12 | 2012 | 2 | |
| 13 | Autosomal-dominant chronic interstitial nephritis with early hyperuricemia. | 2000 | 2 |
| 14 | 1998 | 1 |
About G Loute
G Loute is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Hepatology, having authored 14 papers that have together received 383 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Hepatitis C virus research (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Hepatitis B Virus Studies (3 papers), Viral Infections and Vectors (3 papers), Potassium and Related Disorders (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Kidney Stones and Urolithiasis Treatments (2 papers). The work is most often cited by research in Nephrology (174 citations), Hepatology (54 citations), Genetics (45 citations), Pulmonary and Respiratory Medicine (133 citations) and Pediatrics, Perinatology and Child Health (72 citations). G Loute has collaborated with scholars based in Belgium, Canada and France. Frequent co-authors include Yves Pirson, Karin Dahan, Jean‐Pierre Cosyns, Christine Verellen‐Dumoulin, C. Cornù, Patrick Goubau, Michel Jadoul, Didier Vertommen, Corinne Antignac and Dominique Chauveau. Their work appears in journals such as Journal of the American Society of Nephrology, Journal of Medical Virology, American Journal of Kidney Diseases, Nephrology Dialysis Transplantation and The Nephron journals/Nephron journals.
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.