Dolores Carrera

1.8k total citations
7 papers, 584 citations indexed

About

Dolores Carrera is a scholar working on Hematology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Dolores Carrera has authored 7 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Dolores Carrera's work include Multiple Myeloma Research and Treatments (3 papers), Vascular Tumors and Angiosarcomas (2 papers) and Viral-associated cancers and disorders (2 papers). Dolores Carrera is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Vascular Tumors and Angiosarcomas (2 papers) and Viral-associated cancers and disorders (2 papers). Dolores Carrera collaborates with scholars based in Spain. Dolores Carrera's co-authors include Josep‐María Ribera, Anna Sureda, Jesús F. San Miguel, Felipe de Arriba, Joan Bladé, Juan José Lahuerta, Javier de la Rubia, Laura Rosiñol, Javier García‐Frade and Josè Antonio Pérez-Simón and has published in prestigious journals such as Journal of Clinical Oncology, Blood and European Journal Of Haematology.

In The Last Decade

Dolores Carrera

7 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dolores Carrera Spain 5 514 269 239 94 73 7 584
Marcello Rotta United States 13 631 1.2× 314 1.2× 295 1.2× 168 1.8× 59 0.8× 29 756
Chrissy Giles United Kingdom 10 368 0.7× 154 0.6× 194 0.8× 70 0.7× 30 0.4× 19 466
Giuseppe Console Italy 15 475 0.9× 130 0.5× 302 1.3× 90 1.0× 60 0.8× 51 633
Keiren Kirkland United Kingdom 11 297 0.6× 84 0.3× 162 0.7× 86 0.9× 61 0.8× 24 458
Rayaz Ahmed India 12 286 0.6× 122 0.5× 104 0.4× 56 0.6× 110 1.5× 55 459
Margaret M. Showel United States 10 340 0.7× 168 0.6× 126 0.5× 112 1.2× 58 0.8× 29 476
Naomi Kawashima Japan 8 260 0.5× 129 0.5× 98 0.4× 75 0.8× 36 0.5× 37 369
John Liu Yin United Kingdom 6 400 0.8× 169 0.6× 152 0.6× 66 0.7× 126 1.7× 8 530
Olga Militano United States 12 247 0.5× 55 0.2× 176 0.7× 54 0.6× 134 1.8× 42 446
Giacomo Gianfaldoni Italy 14 324 0.6× 114 0.4× 82 0.3× 147 1.6× 121 1.7× 34 468

Countries citing papers authored by Dolores Carrera

Since Specialization
Citations

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

Fields of papers citing papers by Dolores Carrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dolores Carrera

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

All Works

7 of 7 papers shown
1.
Lahuerta, Juan José, María‐Victoria Mateos, Joaquín Martínez‐López, et al.. (2008). Influence of Pre- and Post-Transplantation Responses on Outcome of Patients With Multiple Myeloma: Sequential Improvement of Response and Achievement of Complete Response Are Associated With Longer Survival. Journal of Clinical Oncology. 26(35). 5775–5782. 193 indexed citations
2.
Rosiñol, Laura, Josè Antonio Pérez-Simón, Anna Sureda, et al.. (2008). A prospective PETHEMA study of tandem autologous transplantation versus autograft followed by reduced-intensity conditioning allogeneic transplantation in newly diagnosed multiple myeloma. Blood. 112(9). 3591–3593. 172 indexed citations
3.
Lahuerta, Juan José, María‐Victoria Mateos, Joaquín Martínez‐López, et al.. (2008). Effect of Pre and Post-Transplantation Responses on Outcome of Multiple Myeloma Patients: CR and near-CR Should Not Be Considered as Equivalent Prognostic Markers. Results of a PETHEMA/Gem Prospective Study. Blood. 112(11). 161–161. 2 indexed citations
4.
Rodríguez, José, Eulogio Conde, Antonio Gutiérrez, et al.. (2007). Prolonged survival of patients with angioimmunoblastic T‐cell lymphoma after high‐dose chemotherapy and autologous stem cell transplantation. The GELTAMO experience. European Journal Of Haematology. 78(4). 290–296. 39 indexed citations
6.
Borràs, Mercè, et al.. (2006). Patients with learning difficulties: outcome on peritoneal dialysis.. PubMed. 22. 116–8. 11 indexed citations
7.
Rodríguez, José A., Marı́a Dolores Caballero, Antonio Gutiérrez, et al.. (2005). Prolonged Survival in Patients with Angioimmunoblastic T-Cell Lymphoma (AIL) after High-Dose Chemotherapy and Autologous Stem Cell Transplantation (ASCT). The GELTAMO Experience.. Blood. 106(11). 2082–2082. 2 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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