Florence Pasquier

1.5k total citations
23 papers, 339 citations indexed

About

Florence Pasquier is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Florence Pasquier has authored 23 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 10 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Florence Pasquier's work include Acute Myeloid Leukemia Research (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Florence Pasquier is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Florence Pasquier collaborates with scholars based in France, Belgium and Japan. Florence Pasquier's co-authors include William Vainchenker, Stéphane Giraudier, Stefan N. Constantinescu, Carole Tonetti, Rodolphe Besancenot, Yann Lécluse, Caroline Marty, Ronan Chaligné, Isabelle Plo and Stéphane de Botton and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and PLoS Biology.

In The Last Decade

Florence Pasquier

21 papers receiving 331 citations

Peers

Florence Pasquier
Comparison fields: 5 of 59
  • Hematology 169
  • Genetics 135
  • Molecular Biology 112
  • Oncology 81
  • Immunology 61
Replace Sara Mach‐Pascual with:
Sara Mach‐Pascual Switzerland
Alexander Sternberg United Kingdom
M Teramura Japan
Meira Zoldan Israel
Wanling Sun China
Kálmán Rák Hungary
Jingliao Zhang China
Irini Xilouri Greece
Nahed El-Kassar France
Biljana Jekić Serbia
Sara Mach‐Pascual Switzerland View profile →
Citations per field, relative to Florence Pasquier
Florence Pasquier · 1×
Citations per year, relative to Florence Pasquier
Florence Pasquier · 1×

Countries citing papers authored by Florence Pasquier

Since Specialization
Citations

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

Fields of papers citing papers by Florence Pasquier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Pasquier

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Pasquier. A scholar is included among the top collaborators of Florence Pasquier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florence Pasquier. Florence Pasquier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 7
4 7
5 24
6 19
7 5
8 3
9 3
10 1
11 13
12 12
13 23
14 43
15 16
16 52
17 80
18
[Mental akinesia and memory disorders following carbon monoxide poisoning].
3
19 10
20
[Benign choroid plexus papilloma. 2 local recurrences and intraventricular seeding].
12

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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