Isabel Badell

3.6k citations
108 papers · 1.6k indexed · h-index 24

Isabel Badell

101 papers receiving 1.6k citations

Peers

Isabel Badell
Comparison fields: 5 of 98
  • Hematology 806
  • Genetics 279
  • Pediatrics, Perinatology and Child Health 264
  • Immunology 265
  • Oncology 311
Replace Ka Wah Chan with:
Ka Wah Chan United States
Joel A. Brochstein United States
Gunnar Öberg Sweden
Kimikazu Matsumoto Japan
F Bonetti Italy
Leonardo Potenza Italy
Glen Kennedy Australia
Ichiro Tsukimoto Japan
Louis Letendre United States
G. Cornu Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Isabel Badell

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Badell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20236
4 20206
5 20202
6 20209
7 20207
8 201816
9 201835
10 20189
11
STEM CELL TRANSPLANTATION IN PYRUVATE KINASE DEFICIENCY
20171
12 201611
13
DOR E ANALGESIA EM DOENTE CRÍTICO - PAIN AND ANALGESIA IN CRITICAL ILLNESS
20152
14 20141
15 200811
16
Recombinant human granulocyte-macrophage colony-stimulating factor accelerates engraftment kinetics after allogeneic bone marrow transplantation for childhood acute lymphoblastic leukemia.
199912
17 19978
18 199616
19 19934
20
Distrofia toracica asfixiante o enfermedad de Jeune
19772

About Isabel Badell

Isabel Badell is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Immunology and Pediatrics, Perinatology and Child Health, having authored 108 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (46 papers), Acute Lymphoblastic Leukemia research (23 papers), Acute Myeloid Leukemia Research (16 papers), Cytomegalovirus and herpesvirus research (10 papers), Immunodeficiency and Autoimmune Disorders (10 papers), Immune Cell Function and Interaction (9 papers), Childhood Cancer Survivors' Quality of Life (9 papers) and Erythrocyte Function and Pathophysiology (8 papers). The work is most often cited by research in Hematology (806 citations), Genetics (279 citations), Pediatrics, Perinatology and Child Health (264 citations), Immunology (265 citations) and Oncology (311 citations). Isabel Badell has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Cristina Díaz de Heredia, Juan Ortega, J Cubells, Rodrigo Martino, Anna Sureda, Jorge Sierra, Miguel Ángel Díaz, Franco Locatelli, Gérard Michel and William Arcese. Their work appears in journals such as Bone Marrow Transplantation, Blood, Biology of Blood and Marrow Transplantation, Annals of Hematology and Molecular Immunology.

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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