D. Treille

812 citations
13 papers · 685 · h-index 8

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

D. Treille

13 papers receiving 662 citations

Peers

D. Treille
Comparison fields: 5 of 48
  • Hematology 348
  • Oncology 369
  • Genetics 94
  • Public Health, Environmental and Occupational Health 160
  • Infectious Diseases 69
Replace P Calmard-Oriol with:
P Calmard-Oriol France
IM Chen United States
DR Head United States
O. A. Haas Austria
Bortin Mm United States
Craig Howe United States
T Shikano Japan
M Vowels Australia
Mustafa Kondakci Germany
Aining Sun China
D. Treille relative to P Calmard-Oriol France P Calmard-Oriol's profile →
Citations per field
00.5×1.5×
P Calmard-Oriol · 1×
Citations per year

Countries citing papers authored by D. Treille

Since Specialization
Citations

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

Fields of papers citing papers by D. Treille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1992426
2 1989118
3
Myeloid surface antigen expression in adult acute lymphoblastic leukemia.
199051
4 199231
5 199217
6 19879
7 19929
8 19927
9
Prognostic value of mouse red cell rosette formation in chronic lymphocytic leukaemia.
19767
10 19925
11
[Prolonged survival in adults with acute myeloid leukemia treated with BCG immunotherapy].
19823
12 20091
13 19921

About D. Treille

D. Treille is a scholar working on Hematology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Immunology, having authored 13 papers that have together received 685 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Acute Lymphoblastic Leukemia research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Hematological disorders and diagnostics (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Immunotherapy and Immune Responses (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Hematology (348 citations), Oncology (369 citations), Genetics (94 citations), Public Health, Environmental and Occupational Health (160 citations) and Infectious Diseases (69 citations). D. Treille has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Denis Guyotat, Lydia Campos, D Fière, E Archimbaud, P Calmard-Oriol, T Tsuruo, Jacques Troncy, O Gentilhomme, A. Larèse and Jean Maupas. Their work appears in journals such as Blood, European Journal Of Haematology, Annals of Hematology, European Journal of Cancer and Acta Haematologica.

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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