Maeva Dufies

2.5k citations
57 papers · 1.9k · h-index 27

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 10
    • Acute Myeloid Leukemia Research 4
    • Chronic Lymphocytic Leukemia Research 8

Maeva Dufies

57 papers receiving 1.9k citations

Peers

Maeva Dufies
Comparison fields: 5 of 110
  • Hematology 213
  • Cancer Research 266
  • Oncology 436
  • Immunology 304
  • Genetics 141
Replace Verena Labi with:
Verena Labi Austria
Jason M. Foulks United States
Simon J. Hogg United States
Pascale Lejeune France
Maïa Chanrion France
Frédéric Stauffer Switzerland
William T. Senapedis United States
Yanis Boumber United States
Kathryn E O'Reilly United States
Richard D. Woessner United States
Maeva Dufies relative to Verena Labi Austria Verena Labi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maeva Dufies

Since Specialization
Citations

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

Fields of papers citing papers by Maeva Dufies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012170
2 2012127
3 2015107
4 201195
5 201781
6 201274
7 200969
8 201057
9 202057
10 201756
11 201754
12 201250
13 201746
14 201839
15 201939
16 201939
17 202139
18 201036
19 202035
20 202134

About Maeva Dufies

Maeva Dufies is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Cancer Research, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (11 papers), Chronic Myeloid Leukemia Treatments (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Renal and related cancers (7 papers), Autophagy in Disease and Therapy (4 papers), Chemokine receptors and signaling (4 papers), Acute Myeloid Leukemia Research (4 papers) and Phagocytosis and Immune Regulation (4 papers). The work is most often cited by research in Hematology (213 citations), Cancer Research (266 citations), Oncology (436 citations), Immunology (304 citations) and Genetics (141 citations). Maeva Dufies has collaborated with scholars based in France, Monaco and United States. Frequent co-authors include Patrick Auberger, Guillaume Robert, Gilles Pagès, Arnaud Jacquel, Frédéric Luciano, Alexandre Puissant, Rachid Benhida, Marcel Deckert, Sophie Raynaud and Damien Ambrosetti. Their work appears in journals such as Theranostics, Oncotarget, Marine Drugs, Cancer Research and International Journal of Molecular Sciences.

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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