Boris Guyot

1.1k citations
27 papers · 821 indexed · h-index 13

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Platelet Disorders and Treatments
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Platelet Disorders and Treatments 4
    • Acute Myeloid Leukemia Research 3
    • Chronic Lymphocytic Leukemia Research 5

Boris Guyot

26 papers receiving 815 citations

Peers

Boris Guyot
Comparison fields: 5 of 74
  • Hematology 259
  • Genetics 175
  • Molecular Biology 552
  • Immunology 120
  • Cell Biology 91
Replace Knut Niß with:
Knut Niß United States
Kamaleldin E. Elagib United States
Marie-Claude Labastie France
Jackie Sloane‐Stanley United Kingdom
Hyung C. Suh United States
Oriana Romano Italy
Christopher Slape United States
Zhigang Cai China
Tihomira I. Todorova United States
Lori Mainwaring United States
Boris Guyot relative to Knut Niß United States Knut Niß's profile →
Citations per field
00.5×1.5×
Knut Niß · 1×
Citations per year

Countries citing papers authored by Boris Guyot

Since Specialization
Citations

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

Fields of papers citing papers by Boris Guyot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005227
2 2005114
3 200678
4 200873
5 201262
6 200446
7 201035
8 201733
9 200922
10 200422
11 200616
12 201215
13 202012
14 201010
15 20239
16 20198
17 20218
18 20226
19 20255
20 20225

About Boris Guyot

Boris Guyot is a scholar working on Hematology, Genetics, Immunology and Allergy, Cell Biology and Molecular Biology, having authored 27 papers that have together received 821 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Platelet Disorders and Treatments (4 papers), RNA modifications and cancer (4 papers), Acute Myeloid Leukemia Research (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Hematology (259 citations), Genetics (175 citations), Molecular Biology (552 citations), Immunology (120 citations) and Cell Biology (91 citations). Boris Guyot has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Paresh Vyas, John Strouboulis, Catherine Porcher, Frank Grosveld, Albert J. R. Heck, Jeroen Krijgsveld, Ernie de Boer, Katarzyna E. Kolodziej, Edgar Bonte and Patrick Rodriguez. Their work appears in journals such as Blood, Gene, International Journal of Molecular Sciences, Molecular and Cellular Biology and iScience.

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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