Frédéric Picou

1.4k citations
25 papers · 964 · h-index 13

Impact in

Papers in

    • Acute Myeloid Leukemia Research 10
    • Hematopoietic Stem Cell Transplantation 4
    • Retinoids in leukemia and cellular processes 3

Frédéric Picou

24 papers receiving 955 citations

Peers

Frédéric Picou
Comparison fields: 5 of 88
  • Cancer Research 211
  • Developmental Neuroscience 56
  • Endocrinology, Diabetes and Metabolism 163
  • Cellular and Molecular Neuroscience 165
  • Neurology 68
Replace Marco De Bardi with:
Marco De Bardi Italy
Duan Ma China
Chang-Sub Uhm South Korea
Miwako Katagi Japan
Jin Yang China
Bradley Pawlikowski United States
Gayane Hrachia Buniatian Germany
Halina Jędrzejowska–Szypułka Poland
Fumiko Hirota Japan
Víctor Nacher Spain
Frédéric Picou relative to Marco De Bardi Italy Marco De Bardi's profile →
Citations per field
00.5×5.8×
Marco De Bardi · 1×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013343
2 2014232
3 201366
4 201254
5 201146
6 201132
7 201832
8 201929
9 201223
10 202117
11 201415
12 202114
13 202313
14 202011
15 202111
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 25 papers that have together received 964 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Thyroid Disorders and Treatments (6 papers), Hematological disorders and diagnostics (5 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 (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Cancer Research (211 citations), Developmental Neuroscience (56 citations), Endocrinology, Diabetes and Metabolism (163 citations), Cellular and Molecular Neuroscience (165 citations) and Neurology (68 citations). Frédéric Picou has collaborated with scholars based in France, Chile and Switzerland. Frequent co-authors include Felipe A. Court, Frédéric Flamant, Fabrice Chatonnet, Teddy Fauquier, Maureen M. Barr, Eva‐Maria Krämer‐Albers, Juan Wang, Lawrence Rajendran, Guillaume van Niel and Graça Raposo. Their work appears in journals such as Blood, Molecular Endocrinology, Clinical Immunology, Scientific Reports and Blood Advances.

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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