S. Lavaud

2.2k citations
50 papers · 1.5k · h-index 22

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 1%
    • Dialysis and Renal Disease Management
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes

Papers in

S. Lavaud

50 papers receiving 1.4k citations

Peers

S. Lavaud
Comparison fields: 5 of 94
  • Transplantation 371
  • Nephrology 376
  • Emergency Medical Services 71
  • Hepatology 68
  • Epidemiology 270
Replace J. P. van Hooff with:
J. P. van Hooff Netherlands
Alaattin Yıldız Türkiye
Aydın Türkmen Türkiye
O. N. Fernando United Kingdom
G. Offermann Germany
Jean‐Marc Chalopin France
Graziella Zacchello Italy
Jimmy A. Light United States
P.R. Uldall United Kingdom
Josef Kletzmayr Austria
S. Lavaud relative to J. P. van Hooff Netherlands J. P. van Hooff's profile →
Citations per field
00.5×1.5×2.3×
J. P. van Hooff · 1×
Citations per year

Countries citing papers authored by S. Lavaud

Since Specialization
Citations

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

Fields of papers citing papers by S. Lavaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007323
2 198986
3 200083
4 200376
5 201374
6 200065
7 199455
8 201549
9 200548
10 199847
11 199243
12 200741
13 200140
14 199633
15 199729
16 201327
17 200526
18 200425
19 201025
20 200123

About S. Lavaud

S. Lavaud is a scholar working on Nephrology, Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (8 papers), Cytomegalovirus and herpesvirus research (6 papers), Herpesvirus Infections and Treatments (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Acute Kidney Injury Research (3 papers), Central Venous Catheters and Hemodialysis (3 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Transplantation (371 citations), Nephrology (376 citations), Emergency Medical Services (71 citations), Hepatology (68 citations) and Epidemiology (270 citations). S. Lavaud has collaborated with scholars based in France, Switzerland and Norway. Frequent co-authors include J Chanard, Olivier Toupance, Alain Wynckel, Philippe Rieu, Sophie Caillard, Yannick Le Meur, H. Maheut, Bruno Hurault de Ligny, Christine Randoux and Tony E. Wong. Their work appears in journals such as Nephrology Dialysis Transplantation, Transplantation, Transplant International, Kidney International and Peritoneal Dialysis International.

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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