D Guyotat

986 citations
52 papers · 659 indexed · h-index 16

D Guyotat

51 papers receiving 642 citations

Peers

D Guyotat
Comparison fields: 5 of 71
  • Hematology 274
  • Genetics 153
  • Internal Medicine 50
  • Pathology and Forensic Medicine 142
  • Oncology 121
Replace B. Dörken with:
B. Dörken Germany
Takafumi Matsushima Japan
Vera Malkovska United States
Tadashi Koike Japan
I‐Ming Chen Taiwan
Alfonso Maria D’Arco Italy
Martine Delain France
J Sánchez-Román Spain
P Coser Italy
Guillermo Debén Spain
D Guyotat relative to B. Dörken Germany B. Dörken's profile →
Citations per field
00.5×6.2×
B. Dörken · 1×
Citations per year

Countries citing papers authored by D Guyotat

Since Specialization
Citations

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

Fields of papers citing papers by D Guyotat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202320
2 20204
3 201818
4 201713
5 201628
6 200725
7
Long-term outcome of localized high-grade non-Hodgkin's lymphoma treated with high dose CHOP regimen and involved field radiotherapy: results of a GOELAMS study.
200510
8 20043
9 200312
10 19991
11 199850
12 199721
13
[Thrombopenia induced by heparin: treatment with Org 10172. Tolerability and efficacy].
19963
14 199527
15
[Sweet syndrome in agranulocytosis. A pathogenic hypothesis].
19942
16 19927
17
Myeloid differentiation antigens identify leukemic cell subpopulations with different cell cycle characteristics.
19908
18 19886
19
Culture of putative Langerhans cell bone marrow precursors: characterization of their phenotype.
198826
20
[Severe quantitative bone marrow insufficiency: results of treatment with high-dose antilymphocyte serum].
19851

About D Guyotat

D Guyotat is a scholar working on Hematology, Genetics and Internal Medicine, having authored 52 papers that have together received 659 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Chronic Lymphocytic Leukemia Research (10 papers), Acute Lymphoblastic Leukemia research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Neutropenia and Cancer Infections (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). The work is most often cited by research in Hematology (274 citations), Genetics (153 citations) and Internal Medicine (50 citations). D Guyotat has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Lydia Campos, D Fière, E Archimbaud, Philippe Gain, Gilles Thuret, Carmen Aanei, Brigitte Tardy, N. Roubi, B. Tardy-Poncet and Hervé Decousus. Their work appears in journals such as Blood, Leukemia, Haematologica, Thrombosis Research and Frontiers in Oncology.

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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