Fernando Senjobe
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- Viral Infections and Outbreaks Research 2
- HIV/AIDS Research and Interventions 1
- COVID-19 Clinical Research Studies 1
-
- Immunotherapy and Immune Responses 2
- Co-authors
- Rhoda Tano-Menka (3 shared papers)Clarety Kaseke (3 shared papers)Gaurav D. Gaiha (3 shared papers)Mary Carrington (2 shared papers)Wilfredo F. García-Beltrán (2 shared papers)Bruce D. Walker (2 shared papers)Ashok Khatri (2 shared papers)A. John Iafrate (2 shared papers)
- Journals
- Cell (2 papers)The Journal of Infectious Diseases (1 paper)PLoS Biology (1 paper)Viruses (1 paper)
- Partner nations
- United StatesSouth AfricaIndia
In The Last Decade
Fernando Senjobe
5 papers receiving 315 citations
Fernando Senjobe's Hit Papers
Peers
Comparison fields: 5 of 46
- Infectious Diseases 264
- Modeling and Simulation 16
- Virology 15
- Immunology 65
- Animal Science and Zoology 21
Countries citing papers authored by Fernando Senjobe
This map shows the geographic impact of Fernando Senjobe'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 Fernando Senjobe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Senjobe more than expected).
Fields of papers citing papers by Fernando Senjobe
This network shows the impact of papers produced by Fernando Senjobe. 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 Fernando Senjobe. The network helps show where Fernando Senjobe may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Senjobe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals Hit paper breakdown → | 2022 | 160 |
| 2 | 2020 | 67 | |
| 3 | 2021 | 57 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 17 |
About Fernando Senjobe
Fernando Senjobe is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Virology and Epidemiology, having authored 5 papers that have together received 319 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Viral Infections and Outbreaks Research (2 papers), HIV/AIDS Research and Interventions (1 paper), COVID-19 Clinical Research Studies (1 paper), HIV Research and Treatment (1 paper), Virology and Viral Diseases (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (264 citations), Modeling and Simulation (16 citations), Virology (15 citations), Immunology (65 citations) and Animal Science and Zoology (21 citations). Fernando Senjobe has collaborated with scholars based in United States, South Africa and India. Frequent co-authors include Rhoda Tano-Menka, Clarety Kaseke, Gaurav D. Gaiha, Mary Carrington, Wilfredo F. García-Beltrán, Bruce D. Walker, Ashok Khatri, A. John Iafrate, Anusha Nathan and Vivek Naranbhai. Their work appears in journals such as Cell, The Journal of Infectious Diseases, PLoS Biology and Viruses.
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.