V. Lapierre

587 citations
28 papers · 452 · h-index 13

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

V. Lapierre

27 papers receiving 435 citations

Peers

V. Lapierre
Comparison fields: 5 of 63
  • Hematology 182
  • Neurology 154
  • Genetics 82
  • Transplantation 18
  • Biochemistry 30
Replace Debra M. Bensen-Kennedy with:
Debra M. Bensen-Kennedy United States
M Boasson France
RA Yankee United States
N. Horvath United States
Ayla Yalamanoglu United States
Keiichi Isoyama Japan
Nikolett Wohner Hungary
L Tschopp Switzerland
L Akard United States
H.C. Kwaan United States
V. Lapierre relative to Debra M. Bensen-Kennedy United States Debra M. Bensen-Kennedy's profile →
Citations per field
00.5×3.8×
Debra M. Bensen-Kennedy · 1×
Citations per year

Countries citing papers authored by V. Lapierre

Since Specialization
Citations

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

Fields of papers citing papers by V. Lapierre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199987
2 200049
3 199846
4 200739
5 201531
6 200029
7 200123
8 201618
9 201617
10 200216
11 200716
12 200413
13 199112
14 200511
15 200010
16 20109
17 19876
18 20165
19 20003
20
[What present strategies are helpful in improving transfusion safety in France?].
19992

About V. Lapierre

V. Lapierre is a scholar working on Hematology, Management of Technology and Innovation, Genetics, Neurology and Biochemistry, having authored 28 papers that have together received 452 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Blood donation and transfusion practices (5 papers), Blood transfusion and management (4 papers), Neuroblastoma Research and Treatments (4 papers), Mesenchymal stem cell research (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Health, Medicine and Society (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Hematology (182 citations), Neurology (154 citations), Genetics (82 citations), Transplantation (18 citations) and Biochemistry (30 citations). V. Lapierre has collaborated with scholars based in France, Germany and Canada. Frequent co-authors include D. Couanet, D Valteau-Couanet, E Benhamou, Gilles Vassal, J. Lumbroso, Olivier Hartmann, Dominique Valteau‐Couanet, Pierre Tiberghien, Laurence Brugières and Rafaël Delgado. Their work appears in journals such as Bone Marrow Transplantation, European Journal of Cancer, Cytotherapy, Blood and 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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