Naïs Prade

824 citations
16 papers · 655 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Blood disorders and treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 13
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • Blood disorders and treatments 3

Naïs Prade

15 papers receiving 646 citations

Peers

Naïs Prade
Comparison fields: 5 of 57
  • Hematology 342
  • Genetics 95
  • Immunology 124
  • Oncology 115
  • Molecular Biology 301
Replace Anand Jillella with:
Anand Jillella United States
Hiroyoshi Kunimoto Japan
Morgan L. McLemore United States
Véronique Della-Valle France
Matthieu Duchmann France
Ahad Al Seraihi United Kingdom
Lidia De Felice Italy
Teresa Sadras Australia
Cyril Šálek Czechia
Naoko Watanabe‐Okochi Japan
Naïs Prade relative to Anand Jillella United States Anand Jillella's profile →
Citations per field
00.5×1.5×1.8×
Anand Jillella · 1×
Citations per year

Countries citing papers authored by Naïs Prade

Since Specialization
Citations

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

Fields of papers citing papers by Naïs Prade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012173
2 2016103
3 201288
4 201665
5 200963
6 201141
7 201226
8 202326
9 201121
10 202017
11 20198
12 20228
13 20207
14 20216
15 20193
16 20260

About Naïs Prade

Naïs Prade is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Cancer Research, having authored 16 papers that have together received 655 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Blood disorders and treatments (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), DNA Repair Mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (342 citations), Genetics (95 citations), Immunology (124 citations), Oncology (115 citations) and Molecular Biology (301 citations). Naïs Prade has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Christian Récher, Éric Delabesse, Cécile Demur, Jean Donadieu, Arnaud Petit, Stéphane Manenti, Christine Didier, Véronique Mansat‐De Mas, Suzanne Tavitian and Thierry Lamy. Their work appears in journals such as Leukemia, Blood, PLoS ONE, Cancer Research 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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