P Raynaud

795 citations
53 papers · 596 · h-index 9

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research

Papers in

P Raynaud

46 papers receiving 558 citations

Peers

P Raynaud
Comparison fields: 5 of 92
  • Hematology 127
  • Cell Biology 103
  • Immunology 89
  • Molecular Biology 289
  • Oncology 85
Replace Irene Ivhed with:
Irene Ivhed Sweden
Y Ichikawa Japan
Lori Jerome Canada
T. Bunte Germany
Tom C. Tsang United States
Barbara Kroczyńska United States
Sherri G. Osborn United States
Claudette M. Comeau United States
H. Green United States
Jie Man Netherlands
P Raynaud relative to Irene Ivhed Sweden Irene Ivhed's profile →
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Citations per year

Countries citing papers authored by P Raynaud

Since Specialization
Citations

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

Fields of papers citing papers by P Raynaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002136
2 2007116
3 200796
4 200683
5 200517
6 198313
7 201011
8 20079
9 19708
10 19588
11 20107
12 20096
13
Total nitrogen in the gastric contents of cattle.
19555
14 19845
15 19845
16 19574
17 20084
18 19764
19 19794
20 19734

About P Raynaud

P Raynaud is a scholar working on Animal Science and Zoology, Physiology, Molecular Biology, Materials Chemistry and Aerospace Engineering, having authored 53 papers that have together received 596 indexed citations. Recurring topics across this work include Rabbits: Nutrition, Reproduction, Health (11 papers), Diet and metabolism studies (5 papers), High-Temperature Coating Behaviors (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Catalytic Processes in Materials Science (3 papers), Animal Nutrition and Physiology (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Nuclear Materials and Properties (2 papers). The work is most often cited by research in Hematology (127 citations), Cell Biology (103 citations), Immunology (89 citations), Molecular Biology (289 citations) and Oncology (85 citations). P Raynaud has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Véronique Pantesco, Bernard Klein, John De Vos, Jean‐François Rossi, Thierry Rème, Michel Jourdan, Hartmut Goldschmidt, Michael Hundemer, Marion Baudard and Thomas Moehler. Their work appears in journals such as Materials Chemistry and Physics, Hydrobiologia, Pediatric Nephrology, Journal of Medical Primatology and Journal of Molecular Diagnostics.

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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