Luisa Gennero

938 citations
23 papers · 622 · h-index 13

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • COVID-19 Clinical Research Studies
    • HIV/AIDS drug development and treatment

Papers in

Luisa Gennero

23 papers receiving 607 citations

Peers

Luisa Gennero
Comparison fields: 5 of 83
  • Virology 91
  • Infectious Diseases 117
  • Genetics 58
  • Physiology 24
  • Immunology 104
Replace Yan Cao with:
Yan Cao China
Doroti Pirulli Italy
Julie Demaret France
Fabrice Camou France
J. Schwartz Canada
Marie Rimbert France
Xiaoyu Luo United States
Robert Santoianni United States
Iulia Popescu United States
Drago Batinić Croatia
Luisa Gennero relative to Yan Cao China Yan Cao's profile →
Citations per field
00.5×3.2×
Yan Cao · 1×
Citations per year

Countries citing papers authored by Luisa Gennero

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Gennero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200197
2 200191
3 201078
4 200859
5 200655
6 201238
7 200234
8 201034
9 199920
10 200417
11 200716
12 201112
13 201012
14 201311
15 200211
16 200211
17
Stem cells: an alternative to organ transplantation in chronic, degenerative and infectious diseases?
20067
18 20046
19 20045
20 19994

About Luisa Gennero

Luisa Gennero is a scholar working on Genetics, Virology, Epidemiology, Cell Biology and Physiology, having authored 23 papers that have together received 622 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Erythrocyte Function and Pathophysiology (3 papers), Hepatitis B Virus Studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Cancer Cells and Metastasis (2 papers), Hepatitis C virus research (2 papers), Immune cells in cancer (2 papers) and HIV-related health complications and treatments (2 papers). The work is most often cited by research in Virology (91 citations), Infectious Diseases (117 citations), Genetics (58 citations), Physiology (24 citations) and Immunology (104 citations). Luisa Gennero has collaborated with scholars based in Italy, Belarus and United States. Frequent co-authors include Andrea Savarino, Kirk Sperber, Johan R. Boelaert, Antonio Ponzetto, Gianpiero Pescarmona, Giovanni Cavallo, Fabio Malavasi, Davide Serrano, Antonio Melcarne and Darja Kanduc. Their work appears in journals such as Cell Biochemistry and Function, Bone, Infection, Clinical and Vaccine Immunology and Amino Acids.

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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