D. Carrera

1.2k total citations
9 papers, 276 citations indexed

About

D. Carrera is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, D. Carrera has authored 9 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in D. Carrera's work include Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). D. Carrera is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). D. Carrera collaborates with scholars based in Spain, Austria and United States. D. Carrera's co-authors include Jesús F. San Miguel, Javier de la Rubia, Lourdes Escoda, Juan José Lahuerta, Laura Rosiñol, Josep‐María Ribera, Santiago Gardella, María‐Victoria Mateos, María Luisa Martín and Luis Palomera and has published in prestigious journals such as British Journal of Haematology, Leukemia and Haematologica.

In The Last Decade

D. Carrera

8 papers receiving 273 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Carrera Spain 5 239 165 128 35 31 9 276
Miguel Teodoro Hernández‐Garcia Spain 6 328 1.4× 264 1.6× 168 1.3× 39 1.1× 21 0.7× 10 373
Edvan de Queiroz Crusoé Brazil 8 229 1.0× 233 1.4× 156 1.2× 33 0.9× 21 0.7× 41 353
Evžen Gregora Czechia 11 253 1.1× 218 1.3× 130 1.0× 43 1.2× 22 0.7× 29 301
Scott VanWier United States 4 209 0.9× 167 1.0× 72 0.6× 49 1.4× 42 1.4× 4 275
Joaquín Díaz Mediavilla Spain 6 162 0.7× 125 0.8× 87 0.7× 35 1.0× 32 1.0× 8 201
Wendy Covert United States 3 236 1.0× 143 0.9× 80 0.6× 62 1.8× 20 0.6× 5 299
Pia Sondergeld Germany 4 220 0.9× 139 0.8× 135 1.1× 40 1.1× 12 0.4× 4 252
Lars Fransecky Germany 8 99 0.4× 131 0.8× 104 0.8× 34 1.0× 21 0.7× 14 267
Cara A. Rosenbaum United States 13 334 1.4× 331 2.0× 214 1.7× 56 1.6× 38 1.2× 46 441
Diane E. Durecki United States 6 320 1.3× 320 1.9× 170 1.3× 42 1.2× 16 0.5× 8 374

Countries citing papers authored by D. Carrera

Since Specialization
Citations

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

Fields of papers citing papers by D. Carrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Carrera

This figure shows the co-authorship network connecting the top 25 collaborators of D. Carrera. A scholar is included among the top collaborators of D. Carrera 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 D. Carrera. D. Carrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Young, Robert W., et al.. (2024). Molecular Markers, Immune Therapy, and Non-Small Cell Lung Cancer—State-of-the-Art Review for Surgeons. Journal of Laparoendoscopic & Advanced Surgical Techniques. 34(9). 786–797.
2.
Lahuerta, Juan José, M.V. Mateos, Joaquín Martínez‐López, et al.. (2010). Busulfan 12 mg/kg plus melphalan 140 mg/m2 versus melphalan 200 mg/m2 as conditioning regimens for autologous transplantation in newly diagnosed multiple myeloma patients included in the PETHEMA/GEM2000 study. Haematologica. 95(11). 1913–1920. 70 indexed citations
3.
Valcárcel, David, Rodrigo Martino, Christelle Ferrá, et al.. (2007). 370: Fludarabine-busulphan reduced intensity conditioning (RIC) identical sibling allogeneic stem cell transplantation (allo-SCT) in high risk acute myeloid leukemia and myelodisplastic syndrome. Biology of Blood and Marrow Transplantation. 13(2). 134–135. 2 indexed citations
4.
5.
Rubia, Javier de la, Joan Bladé, Josep‐María Ribera, et al.. (2006). Effect of chemotherapy with alkylating agents on the yield of CD34+ cells in patients with multiple myeloma. Results of the Spanish Myeloma Group (GEM) Study.. PubMed. 91(5). 621–7. 40 indexed citations
6.
Baró, J, Carlos Richard, Jorge Sierra, et al.. (1992). Autologous bone marrow transplantation in 22 adult patients with lymphoblastic lymphoma responsive to conventional dose chemotherapy.. PubMed. 10(1). 33–8. 21 indexed citations
7.
Bárez, Abelardo, et al.. (1992). [Features of chronic myeloid leukemia at diagnosis. Study of a series of 134 cases].. PubMed. 37(5). 345–50. 2 indexed citations
8.
Carrera, D., et al.. (1990). [Early and late results of orthotopic liver transplantation].. PubMed. 61(10). 701–4. 1 indexed citations
9.
Condé, E., A Iriondo, Chelo Rayón, et al.. (1988). Allogeneic bone marrow transplantation versus intensification chemotherapy for acute myelogenous leukaemia in first remission: a prospective controlled trial. British Journal of Haematology. 68(2). 219–226. 24 indexed citations

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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