Pierre Saı̈

760 citations
24 papers · 571 · h-index 12

Impact in

Papers in

    • Diabetes and associated disorders 12
    • Pancreatic function and diabetes 9
    • Xenotransplantation and immune response 4

Pierre Saı̈

23 papers receiving 536 citations

Peers

Pierre Saı̈
Comparison fields: 5 of 86
  • Genetics 289
  • Endocrinology, Diabetes and Metabolism 169
  • Surgery 320
  • Transplantation 13
  • Immunology 78
Replace Beata Szymańska with:
Beata Szymańska Poland
Daniel Yoo United States
Don Leigh Australia
Sumi Park South Korea
E.E. Büllesbach United States
R. Schmidt Germany
Cindy Aknin France
Masanori Kimura Japan
Vijaya Raghavan India
A. Haug Germany
Pierre Saı̈ relative to Beata Szymańska Poland Beata Szymańska's profile →
Citations per field
00.5×3.7×
Beata Szymańska · 1×
Citations per year

Countries citing papers authored by Pierre Saı̈

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Saı̈

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000189
2 200595
3 200647
4 200745
5 199620
6 198320
7 200516
8 199216
9 199315
10 200914
11 198412
12 198711
13 200710
14 199310
15 199410
16 19939
17 19948
18 19887
19 19896
20 19844

About Pierre Saı̈

Pierre Saı̈ is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Immunology, having authored 24 papers that have together received 571 indexed citations. Recurring topics across this work include Diabetes and associated disorders (12 papers), Pancreatic function and diabetes (9 papers), Diabetes Management and Research (7 papers), Photosynthetic Processes and Mechanisms (6 papers), Immune Cell Function and Interaction (5 papers), Algal biology and biofuel production (4 papers), Xenotransplantation and immune response (4 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Genetics (289 citations), Endocrinology, Diabetes and Metabolism (169 citations), Surgery (320 citations), Transplantation (13 citations) and Immunology (78 citations). Pierre Saı̈ has collaborated with scholars based in France, India and Germany. Frequent co-authors include Françoise Roux, Jack‐Yves Deschamps, B Charbonnel, Lucy Chaillous, R. Maréchaud, Marc Nicolino, Hervé Lefèvre, Pierre Lecomte, Christian Boîtard and Charles Thivolet. Their work appears in journals such as Diabetes, Xenotransplantation, Photochemistry and Photobiology, Metabolism and Journal of Photochemistry and Photobiology B Biology.

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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