Frédéric Picou

1.3k citations
24 papers · 909 · h-index 12

Impact in

Papers in

    • Acute Myeloid Leukemia Research 9
    • Hematopoietic Stem Cell Transplantation 4
    • Retinoids in leukemia and cellular processes 3

Frédéric Picou

24 papers receiving 903 citations

Peers

Frédéric Picou
Comparison fields: 5 of 89
  • Cancer Research 219
  • Developmental Neuroscience 51
  • Endocrinology, Diabetes and Metabolism 155
  • Cellular and Molecular Neuroscience 160
  • Neurology 71
Replace Marco De Bardi with:
Marco De Bardi Italy
Jia Feng China
Duan Ma China
Sayumi Fujimori Japan
Elena S. Pak United States
Chang-Sub Uhm South Korea
Jin Yang China
Francesca Wannenes Italy
Weiming Zheng China
Amanda J. Patton United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Picou

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Picou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Picou, 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 Frédéric Picou Line = papers co-authored together Frédéric Picou 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 2013326
2 2014222
3 201362
4 201249
5 201143
6 201130
7 201828
8 201926
9 201223
10 201415
11 202114
12 202114
13 202311
14 202010
15 202110
16 20207
17 20226
18 20234
19 20113
20 20222

About Frédéric Picou

Frédéric Picou is a scholar working on Hematology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Emergency Medicine, having authored 24 papers that have together received 909 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Thyroid Disorders and Treatments (6 papers), Hematological disorders and diagnostics (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Retinoids in leukemia and cellular processes (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Pesticide Exposure and Toxicity (2 papers). The work is most often cited by research in Cancer Research (219 citations), Developmental Neuroscience (51 citations), Endocrinology, Diabetes and Metabolism (155 citations), Cellular and Molecular Neuroscience (160 citations) and Neurology (71 citations). Frédéric Picou has collaborated with scholars based in France, Chile and Romania. Frequent co-authors include Felipe A. Court, Frédéric Flamant, Fabrice Chatonnet, Teddy Fauquier, Xandra O. Breakefield, Guillaume van Niel, Graça Raposo, Lawrence Rajendran, Jitin Bali and Maureen M. Barr. Their work appears in journals such as Scientific Reports, Blood Advances, Molecular Endocrinology, Cancers and Blood.

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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