Beatrice Macchi

103 papers receiving 1.9k citations

Peers

Beatrice Macchi
Comparison fields: 5 of 102
  • Virology 230
  • Agronomy and Crop Science 406
  • Immunology 775
  • Ecology, Evolution, Behavior and Systematics 330
  • Infectious Diseases 275
Replace Marino-Merlo Francesca with:
Marino-Merlo Francesca Italy
B. I. Sahai Srivastava United States
Masayoshi Fukasawa Japan
Hideharu Taira Japan
Eberhard Amtmann Germany
Helmut Ankel United States
Rona J. Mogil Canada
Shogo Ikeda Japan
Yves Langelier Canada
M. A. Chirigos United States
Beatrice Macchi relative to Marino-Merlo Francesca Italy Marino-Merlo Francesca's profile →
Citations per field
00.5×2×4×6.8×
Marino-Merlo Francesca · 1×
Citations per year

Countries citing papers authored by Beatrice Macchi

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016113
2 201575
3 200573
4 201166
5 198466
6 199759
7 199957
8 201647
9 200747
10 201744
11 201044
12 201143
13 198342
14 201541
15 200441
16 201940
17
Expression of HIV in lymph node cells of LAS patients. Immunohistology, in situ hybridization, and identification of target cells.
198836
18 201234
19 200734
20 201634

About Beatrice Macchi

Beatrice Macchi is a scholar working on Immunology, Agronomy and Crop Science, Virology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 108 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (44 papers), Animal Disease Management and Epidemiology (34 papers), HIV/AIDS drug development and treatment (24 papers), HIV Research and Treatment (22 papers), Vector-Borne Animal Diseases (22 papers), Biochemical and Molecular Research (8 papers), Carbohydrate Chemistry and Synthesis (8 papers) and HIV/AIDS Research and Interventions (7 papers). The work is most often cited by research in Virology (230 citations), Agronomy and Crop Science (406 citations), Immunology (775 citations), Ecology, Evolution, Behavior and Systematics (330 citations) and Infectious Diseases (275 citations). Beatrice Macchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonio Mastino, Emanuela Balestrieri, Sandro Grelli, Marino-Merlo Francesca, Claudia Matteucci, Roberto Romeo, Antonella Minutolo, Anna Piperno, Ugo Chiacchio and Daniela Iannazzo. Their work appears in journals such as Journal of Medical Virology, Bioorganic & Medicinal Chemistry, Molecules, ACS Omega and Antimicrobial Agents and Chemotherapy.

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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