Javier Mora
Impact in
- Immunology top 5%
- Immune cells in cancer
- Psoriasis: Treatment and Pathogenesis
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
- Immunology 14
- Immune cells in cancer 9
- Oncology 9
- Cancer Immunotherapy and Biomarkers 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Andreas Weigert (17 shared papers)Bernhard Brüne (14 shared papers)Nathalie Dehne (3 shared papers)Michaela Jung (7 shared papers)Dmitry Namgaladze (1 shared paper)Rodrigo Antonio Mora-Rodríguez (5 shared papers)Kati Turkowski (1 shared paper)Xiang Zheng (1 shared paper)
- Journals
- Frontiers in Medicine (3 papers)Biological Chemistry (2 papers)Parasites & Vectors (2 papers)Frontiers in Immunology (2 papers)Blood (1 paper)
- Partner nations
- Costa RicaGermanyUnited States
In The Last Decade
Javier Mora
34 papers receiving 1.9k citations
Javier Mora's Hit Papers
Peers
Comparison fields: 5 of 88
- Immunology 599
- Neurology 228
- Oncology 350
- Cancer Research 118
- Infectious Diseases 144
Countries citing papers authored by Javier Mora
This map shows the geographic impact of Javier Mora'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 Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Mora more than expected).
Fields of papers citing papers by Javier Mora
This network shows the impact of papers produced by Javier Mora. 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 Mora. The network helps show where Javier Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Mora, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 240 | |
| 2 | 2017 | 239 | |
| 3 | 2017 | 224 | |
| 4 | Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection Hit paper breakdown → | 2022 | 199 |
| 5 | 2016 | 152 | |
| 6 | 2021 | 139 | |
| 7 | 2019 | 83 | |
| 8 | 2016 | 82 | |
| 9 | 2016 | 77 | |
| 10 | 2017 | 76 | |
| 11 | 2012 | 69 | |
| 12 | 2008 | 48 | |
| 13 | 2016 | 41 | |
| 14 | 2020 | 37 | |
| 15 | 2012 | 33 | |
| 16 | 2022 | 32 | |
| 17 | 2015 | 26 | |
| 18 | 2019 | 25 | |
| 19 | 2022 | 25 | |
| 20 | 2016 | 24 |
About Javier Mora
Javier Mora is a scholar working on Immunology, Oncology, Insect Science, Infectious Diseases and Parasitology, having authored 35 papers that have together received 2k indexed citations. Recurring topics across this work include Immune cells in cancer (9 papers), Cancer Immunotherapy and Biomarkers (4 papers), Mollusks and Parasites Studies (4 papers), Helminth infection and control (3 papers), COVID-19 Clinical Research Studies (3 papers), Parasites and Host Interactions (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Immunology (599 citations), Neurology (228 citations), Oncology (350 citations), Cancer Research (118 citations) and Infectious Diseases (144 citations). Javier Mora has collaborated with scholars based in Costa Rica, Germany and United States. Frequent co-authors include Andreas Weigert, Bernhard Brüne, Nathalie Dehne, Michaela Jung, Dmitry Namgaladze, Rodrigo Antonio Mora-Rodríguez, Kati Turkowski, Xiang Zheng, Werner Seeger and Rajkumar Savai. Their work appears in journals such as Frontiers in Medicine, Biological Chemistry, Parasites & Vectors, Frontiers in Immunology and Blood.
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.