F. Paillard

33 papers receiving 1.1k citations

Peers

F. Paillard
Comparison fields: 5 of 104
  • Nephrology 76
  • Health, Toxicology and Mutagenesis 142
  • Small Animals 75
  • Endocrinology, Diabetes and Metabolism 150
  • Cardiology and Cardiovascular Medicine 178
Replace Gustavo Parra with:
Gustavo Parra Venezuela
Matthew D. Crawford United States
Teresa S. Kasamatsu Brazil
Glenn T. Nagami United States
Mariko Miyao Japan
Ana Stavljenić-Rukavina Croatia
Victoria King United States
Xin Lian China
Robert Faulhaber‐Walter United States
Hong Yuan China
F. Paillard relative to Gustavo Parra Venezuela Gustavo Parra's profile →
Citations per field
00.5×10×12.5×
Gustavo Parra · 1×
Citations per year

Countries citing papers authored by F. Paillard

Since Specialization
Citations

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

Fields of papers citing papers by F. Paillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002285
2 1999167
3
Development of prediction models for three in vitro embryotoxicity tests in an ECVAM validation study.
200098
4 200791
5 200265
6 200451
7 198838
8 200130
9 199930
10 198530
11 198929
12 200228
13 200125
14
Renal effects of salmon calcitonin in man.
197225
15 198221
16
[Development of prediction models for three in vitro embryotoxicity tests which are evaluated in an ECVAM validation study]
199917
17 199416
18 199313
19 197411
20 197310

About F. Paillard

F. Paillard is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Pulmonary and Respiratory Medicine and Small Animals, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal testing and alternatives (4 papers), Renin-Angiotensin System Studies (3 papers), Pluripotent Stem Cells Research (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Diet and metabolism studies (2 papers), Sodium Intake and Health (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Nephrology (76 citations), Health, Toxicology and Mutagenesis (142 citations), Small Animals (75 citations), Endocrinology, Diabetes and Metabolism (150 citations) and Cardiology and Cardiovascular Medicine (178 citations). F. Paillard has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Raymond Ardaillou, Elke Genschow, Hannele Huuskonen, Horst Spielmann, Aldert H. Piersma, Nicole Clemann, Madeleine C. Brady, Susanne Bremer, Klaus M. Becker and Nigel A. Brown. Their work appears in journals such as Nephrology Dialysis Transplantation, European Journal of Clinical Investigation, Alternatives to Laboratory Animals, American Journal of Nephrology and Toxicology Letters.

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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