David Valcárcel

6.5k citations
163 papers · 3.0k · h-index 32

Impact in

Papers in

    • Acute Myeloid Leukemia Research 64
    • Hematopoietic Stem Cell Transplantation 58
    • Platelet Disorders and Treatments 14
    • Chronic Myeloid Leukemia Treatments 10
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 25
    • Hemoglobinopathies and Related Disorders 12

David Valcárcel

149 papers receiving 3.0k citations

Peers

David Valcárcel
Comparison fields: 5 of 89
  • Hematology 1.9k
  • Transplantation 170
  • Genetics 679
  • Immunology 499
  • Oncology 602
Replace Michele Falda with:
Michele Falda Italy
Hiroyasu Ogawa Japan
Nina Worel Austria
K Lilleby United States
Taner Demirer Türkiye
Herbert G. Sayer Germany
Sergio Giralt United States
A Eldor Israel
Cynthia L. Toze Canada
Guido Kobbe Germany
David Valcárcel relative to Michele Falda Italy Michele Falda's profile →
Citations per field
00.5×2.6×
Michele Falda · 1×
Citations per year

Countries citing papers authored by David Valcárcel

Since Specialization
Citations

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

Fields of papers citing papers by David Valcárcel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013182
2 2007166
3 2011144
4 2011136
5 200590
6 201886
7 201083
8 202275
9 200670
10 201570
11 200366
12 201965
13 200956
14 200955
15 201653
16 200550
17 201348
18 201545
19 200944
20 201044

About David Valcárcel

David Valcárcel is a scholar working on Hematology, Genetics, Immunology, Oncology and Epidemiology, having authored 163 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (64 papers), Hematopoietic Stem Cell Transplantation (58 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (25 papers), Immune Cell Function and Interaction (16 papers), Platelet Disorders and Treatments (14 papers), Renal Transplantation Outcomes and Treatments (13 papers), Hemoglobinopathies and Related Disorders (12 papers) and Chronic Myeloid Leukemia Treatments (10 papers). The work is most often cited by research in Hematology (1.9k citations), Transplantation (170 citations), Genetics (679 citations), Immunology (499 citations) and Oncology (602 citations). David Valcárcel has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Rodrigo Martino, Jorge Sierra, Salut Brunet, José Luís Piñana, Pere Barba, José Antonio Pérez‐Simón, Anna Sureda, Javier Briones, Julio Delgado and Guillermo Sanz. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Journal of Clinical Oncology and American Journal of Hematology.

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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