Javier Naval
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
-
- Cell death mechanisms and regulation 38
- RNA Interference and Gene Delivery 16
- Ubiquitin and proteasome pathways 8
- Immunology 35
- Immune Cell Function and Interaction 16
- Co-authors
- Alberto Anel (63 shared papers)Isabel Marzo (44 shared papers)Andrés Piñeiro (35 shared papers)Susana Gamen (14 shared papers)María José Martínez‐Lorenzo (16 shared papers)María A. Álava (15 shared papers)Pilar Lasierra (12 shared papers)Luis Larrad (13 shared papers)
- Journals
- Biochemical Pharmacology (7 papers)OncoImmunology (7 papers)The Journal of Immunology (5 papers)FEBS Letters (5 papers)European Journal of Immunology (3 papers)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Javier Naval
106 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 127
- Immunology 1.5k
- Cancer Research 692
- Molecular Biology 3.3k
- Hematology 337
- Oncology 788
Countries citing papers authored by Javier Naval
This map shows the geographic impact of Javier Naval'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 Javier Naval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Naval more than expected).
Fields of papers citing papers by Javier Naval
This network shows the impact of papers produced by Javier Naval. 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 Javier Naval. The network helps show where Javier Naval may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Naval, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 445 | |
| 2 | 1999 | 273 | |
| 3 | 2001 | 223 | |
| 4 | Apoptosis-associated derangement of mitochondrial function in cells lacking mitochondrial DNA. | 1996 | 186 |
| 5 | 1998 | 170 | |
| 6 | 2019 | 161 | |
| 7 | 2019 | 139 | |
| 8 | 2004 | 122 | |
| 9 | 1998 | 120 | |
| 10 | 2003 | 120 | |
| 11 | 2000 | 113 | |
| 12 | 1997 | 107 | |
| 13 | 2001 | 96 | |
| 14 | 2010 | 93 | |
| 15 | 1996 | 93 | |
| 16 | 1984 | 91 | |
| 17 | 2016 | 84 | |
| 18 | 2004 | 79 | |
| 19 | 2001 | 79 | |
| 20 | 2013 | 78 |
About Javier Naval
Javier Naval is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Cancer Research, having authored 109 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (38 papers), RNA Interference and Gene Delivery (16 papers), Immune Cell Function and Interaction (16 papers), Multiple Myeloma Research and Treatments (12 papers), Fatty Acid Research and Health (10 papers), Cancer-related Molecular Pathways (9 papers), Ubiquitin and proteasome pathways (8 papers) and NF-κB Signaling Pathways (7 papers). The work is most often cited by research in Immunology (1.5k citations), Cancer Research (692 citations), Molecular Biology (3.3k citations), Hematology (337 citations) and Oncology (788 citations). Javier Naval has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Alberto Anel, Isabel Marzo, Andrés Piñeiro, Susana Gamen, María José Martínez‐Lorenzo, María A. Álava, Pilar Lasierra, Luis Larrad, Luis Martínez‐Lostao and J Uriel. Their work appears in journals such as Biochemical Pharmacology, OncoImmunology, The Journal of Immunology, FEBS Letters and European Journal of Immunology.
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.