Rebeca Bailén

1.5k citations
46 papers · 471 · h-index 15

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 26
    • CAR-T cell therapy research 13

Rebeca Bailén

43 papers receiving 463 citations

Peers

Rebeca Bailén
Comparison fields: 5 of 67
  • Hematology 174
  • Transplantation 36
  • Nephrology 80
  • Oncology 207
  • Immunology 94
Replace Asao Hirose with:
Asao Hirose Japan
Xuhui Zhong China
Dong Il Won South Korea
María Suárez‐Lledó Spain
Fabio Giglio Italy
J. Goldberg Argentina
Sam Kant United States
Theodora Foukaneli United Kingdom
Anıl Tombak Türkiye
D. Caballero Spain
Rebeca Bailén relative to Asao Hirose Japan Asao Hirose's profile →
Citations per field
00.5×5.7×
Asao Hirose · 1×
Citations per year

Countries citing papers authored by Rebeca Bailén

Since Specialization
Citations

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

Fields of papers citing papers by Rebeca Bailén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 201143
3 201427
4 202226
5 201923
6 202020
7 202119
8 202019
9 201418
10 201915
11 202214
12 202014
13 201914
14 202114
15 202014
16 202112
17 202011
18 20188
19 20217
20 20147

About Rebeca Bailén

Rebeca Bailén is a scholar working on Hematology, Oncology, Immunology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 471 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (26 papers), CAR-T cell therapy research (13 papers), Acute Lymphoblastic Leukemia research (6 papers), T-cell and B-cell Immunology (4 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Gout, Hyperuricemia, Uric Acid (4 papers). The work is most often cited by research in Hematology (174 citations), Transplantation (36 citations), Nephrology (80 citations), Oncology (207 citations) and Immunology (94 citations). Rebeca Bailén has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Mi Kwon, José L. Díez‐Martín, Juan Puig, Eugenio de Miguel, Rosa J. Torres, Javier Anguita, José R. Banegas, Ismael Buño, Carolina Martínez‐Laperche and Nieves Dorado. Their work appears in journals such as Blood, Frontiers in Immunology, Annals of Hematology, Transplantation and Cellular Therapy and Transfusion.

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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