Alba Grifoni

25.4k citations
116 papers · 7.0k indexed · 6 hit papers · h-index 30

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 48
    • COVID-19 Clinical Research Studies 34
    • Viral Infections and Vectors 19

Alba Grifoni

115 papers receiving 6.8k citations

Hit Papers

SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron 2022 · 484 citations
484202020262022202450010001.5k2.0k

Peers

Alba Grifoni
Comparison fields: 5 of 124
  • Infectious Diseases 5.5k
  • Modeling and Simulation 480
  • Immunology 1.9k
  • Neurology 1.2k
  • Animal Science and Zoology 376
Replace Daniela Weiskopf with:
Daniela Weiskopf United States
Lisa E. Gralinski United States
Jennifer M. Dan United States
Andrea Marzi United States
Jason Greenbaum United States
Kin‐Hang Kok Hong Kong
Wan Ni Chia Singapore
Ramesh Jadi United States
Jennifer A. Juno Australia
Antonio Bertoletti Singapore
Alba Grifoni relative to Daniela Weiskopf United States Daniela Weiskopf's profile →
Citations per field
00.5×1.5×
Daniela Weiskopf · 1×
Citations per year

Countries citing papers authored by Alba Grifoni

Since Specialization
Citations

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

Fields of papers citing papers by Alba Grifoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20241
3 20241
4 20235
5 20233
6 20223
7 20225
8 202211
9 20226
10 20225
11 202221
12 202173
13 202167
14 202129
15 20214
16 202018
17
Phenotype and kinetics of SARS-CoV-2–specific T cells in COVID-19 patients with acute respiratory distress syndrome
Hit paper breakdown →
2020587
18 201811
19 20174
20 20178

About Alba Grifoni

Alba Grifoni is a scholar working on Infectious Diseases, Virology, Immunology, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 116 papers that have together received 7.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (48 papers), COVID-19 Clinical Research Studies (34 papers), vaccines and immunoinformatics approaches (30 papers), Mosquito-borne diseases and control (26 papers), Viral Infections and Vectors (19 papers), Immunotherapy and Immune Responses (18 papers), T-cell and B-cell Immunology (16 papers) and Malaria Research and Control (12 papers). The work is most often cited by research in Infectious Diseases (5.5k citations), Modeling and Simulation (480 citations), Immunology (1.9k citations), Neurology (1.2k citations) and Animal Science and Zoology (376 citations). Alba Grifoni has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Alessandro Sette, Daniela Weiskopf, Bjoern Peters, John Sidney, Shane Crotty, Jennifer M. Dan, April Frazier, José Mateus, Carolyn Rydyznski Moderbacher and Lakshmanane Premkumar. Their work appears in journals such as Frontiers in Immunology, Cell Host & Microbe, Journal of Virology, Human Immunology and Vaccines.

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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