Rafael Hernani

1.7k citations
70 papers · 1.3k · h-index 17

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments

Papers in

    • CAR-T cell therapy research 33
    • Hematopoietic Stem Cell Transplantation 12
    • Blood groups and transfusion 1

Rafael Hernani

64 papers receiving 1.3k citations

Peers

Rafael Hernani
Comparison fields: 5 of 28
  • Oncology 652
  • Hematology 150
  • Pathology and Forensic Medicine 99
  • Epidemiology 112
  • Infectious Diseases 62
Replace Ifigeneia Tzannou with:
Ifigeneia Tzannou United States
I J Su Taiwan
Mireia Morgades Spain
Josel D. Ruiz United States
Kensei Gotoh Japan
Peter Meyer Norway
Albert Esquirol Spain
Richard Rochester United States
S. Guidi Italy
Alastair MacGilchrist United Kingdom
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Citations per field
00.5×2×3×4.3×
Ifigeneia Tzannou · 1×
Citations per year

Countries citing papers authored by Rafael Hernani

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Hernani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 2023118
3 2021117
4 2022106
5 2023100
6 202162
7 202155
8 202252
9 202046
10 202242
11 202234
12 202329
13 201928
14 202426
15 202223
16 202020
17 202118
18 202117
19 202415
20 202214

About Rafael Hernani

Rafael Hernani is a scholar working on Oncology, Hematology, Epidemiology, Infectious Diseases and Genetics, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (33 papers), Hematopoietic Stem Cell Transplantation (12 papers), Cytomegalovirus and herpesvirus research (6 papers), Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Blood groups and transfusion (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (652 citations), Hematology (150 citations), Pathology and Forensic Medicine (99 citations), Epidemiology (112 citations) and Infectious Diseases (62 citations). Rafael Hernani has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Carlos Solano, Jose Luis Piñana, Ariadna Pérez, Manuel Guerreiro, Ana Oaknin Benzaquen, David Navarro Ortega, Juan Carlos Hernández‐Boluda, Eliseo Albert, Estela Giménez and Mi Kwon. Their work appears in journals such as Bone Marrow Transplantation, Transplantation and Cellular Therapy, HemaSphere, Blood and Journal of Medical Virology.

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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