Beatrice Macchi

98 papers receiving 1.7k citations

Peers

Beatrice Macchi
Comparison fields: 5 of 100
  • Virology 216
  • Agronomy and Crop Science 331
  • Immunology 630
  • Infectious Diseases 248
  • Ecology, Evolution, Behavior and Systematics 268
Replace B. I. Sahai Srivastava with:
B. I. Sahai Srivastava United States
Helmut Ankel United States
Klaus Lehnert New Zealand
Tom Huxford United States
Kurt J. Sales United Kingdom
Shogo Ikeda Japan
Yves Langelier Canada
Lionel N. Simon United States
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Citations per field
00.5×10×13.9×
B. I. Sahai Srivastava · 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 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201573
2 200570
3 198461
4 201161
5 199758
6 199954
7 201647
8 200744
9 201043
10 201742
11 200441
12 201139
13 201539
14 198338
15 201936
16
Expression of HIV in lymph node cells of LAS patients. Immunohistology, in situ hybridization, and identification of target cells.
198834
17 202032
18 200732
19 201232
20 200931

About Beatrice Macchi

Beatrice Macchi is a scholar working on Immunology, Agronomy and Crop Science, Molecular Biology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (39 papers), Animal Disease Management and Epidemiology (32 papers), HIV/AIDS drug development and treatment (23 papers), Vector-Borne Animal Diseases (21 papers), HIV Research and Treatment (20 papers), Carbohydrate Chemistry and Synthesis (8 papers), Biochemical and Molecular Research (8 papers) and HIV/AIDS Research and Interventions (7 papers). The work is most often cited by research in Virology (216 citations), Agronomy and Crop Science (331 citations), Immunology (630 citations), Infectious Diseases (248 citations) and Ecology, Evolution, Behavior and Systematics (268 citations). Beatrice Macchi has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Antonio Mastino, Emanuela Balestrieri, Sandro Grelli, Francesca Marino‐Merlo, Claudia Matteucci, Roberto Romeo, Antonella Minutolo, Anna Piperno, Enzo Bonmassar and Daniela Iannazzo. Their work appears in journals such as Journal of Medical Virology, Bioorganic & Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, Journal of Medicinal Chemistry and Pharmacological Research.

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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