Rafael Hernani

1.6k citations
33 papers · 377 · h-index 10

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Polyomavirus and related diseases
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • CAR-T cell therapy research 13
    • Polyomavirus and related diseases 4
    • Respiratory viral infections research 6
    • Cytomegalovirus and herpesvirus research 4

Rafael Hernani

29 papers receiving 374 citations

Peers

Rafael Hernani
Comparison fields: 5 of 46
  • Oncology 238
  • Hematology 74
  • Transplantation 14
  • Epidemiology 99
  • Infectious Diseases 33
Replace Dušan Prevalšek with:
Dušan Prevalšek Germany
Hannes Vietzen Austria
Ming‐Celine Dubosq Australia
Jan Dirks Germany
Inês Baldaque Portugal
Trent Wang United States
Sara Bolivar-Wagers United States
Daphna Hutt Israel
Sylvia Borchers Germany
Renee Simms Australia
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Citations per field
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Dušan Prevalšek · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202186
2 202145
3 202240
4 202234
5 202028
6 201922
7 202116
8 202015
9 202011
10 202011
11 20239
12 20247
13 20237
14 20247
15 20206
16 20245
17 20215
18 20204
19 20243
20 20233

About Rafael Hernani

Rafael Hernani is a scholar working on Oncology, Epidemiology, Hematology, Infectious Diseases and Genetics, having authored 33 papers that have together received 377 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Hematopoietic Stem Cell Transplantation (6 papers), Respiratory viral infections research (6 papers), Polyomavirus and related diseases (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Virus-based gene therapy research (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (238 citations), Hematology (74 citations), Transplantation (14 citations), Epidemiology (99 citations) and Infectious Diseases (33 citations). Rafael Hernani has collaborated with scholars based in Spain, Germany and France. Frequent co-authors include Carlos Solano, Ariadna Pérez, Manuel Guerreiro, José Luís Piñana, David Navarro, Juan Carlos Hernández‐Boluda, Mi Kwon, Estela Giménez, Juan Montoro and Eliseo Albert. Their work appears in journals such as Bone Marrow Transplantation, Blood, Journal of Medical Virology, Transplantation and Cellular Therapy and HemaSphere.

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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