Fernanda Grassi

678 citations
13 papers · 543 · h-index 8

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 5
    • T-cell and Retrovirus Studies 4
    • Immune Cell Function and Interaction 4
    • HIV Research and Treatment 4

Fernanda Grassi

12 papers receiving 529 citations

Peers

Fernanda Grassi
Comparison fields: 5 of 61
  • Virology 152
  • Immunology 334
  • Epidemiology 128
  • Parasitology 24
  • Public Health, Environmental and Occupational Health 68
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Fernanda Grassi relative to Daniel Choo United States Daniel Choo's profile →
Citations per field
00.5×1.6×
Daniel Choo · 1×
Citations per year

Countries citing papers authored by Fernanda Grassi

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1999144
2 200897
3 199879
4 200372
5 200170
6 199930
7 200628
8 199313
9 19965
10 20073
11 20251
12 20141
13
reveals evidence of in vivo activation in a subset of organ donors Investigation of human spleen dendritic cell phenotype and distribution
20130

About Fernanda Grassi

Fernanda Grassi is a scholar working on Immunology, Virology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Infectious Diseases, having authored 13 papers that have together received 543 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), T-cell and Retrovirus Studies (4 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (3 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Virology (152 citations), Immunology (334 citations), Epidemiology (128 citations), Parasitology (24 citations) and Public Health, Environmental and Occupational Health (68 citations). Fernanda Grassi has collaborated with scholars based in France, Brazil and Japan. Frequent co-authors include Patrice Debré, Anne Hosmalin, Dorian McIlroy, Vincent Cálvez, Brigitte Autran, Maria Aparecida Shikanai‐Yasuda, Aikichi Iwamoto, Jean Feuillard, Takashi Odawara and Maya Isogai. Their work appears in journals such as AIDS, Journal of Leukocyte Biology, Journal of Virology, Clinical and Vaccine Immunology and Journal of Medical Virology.

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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