Anna Cereseto
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 2%
- T-cell and Retrovirus Studies
Papers in ⓘ
- Virology 25
- HIV Research and Treatment 25
- Immunology 19
- T-cell and Retrovirus Studies 14
- Co-authors
- Genoveffa Franchini (13 shared papers)Mauro Giacca (12 shared papers)James C. Mulloy (4 shared papers)Warren J. Leonard (2 shared papers)Daniele Arosio (11 shared papers)Thi‐Sau Migone (1 shared paper)Jian‐Xin Lin (1 shared paper)Giulia Maule (12 shared papers)
- Journals
- Retrovirology (6 papers)Blood (6 papers)Nature Communications (5 papers)Molecular Therapy (4 papers)Oncogene (4 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Anna Cereseto
72 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Virology 848
- Immunology 1.2k
- Business and International Management 100
- Agronomy and Crop Science 511
- Aging 58
Countries citing papers authored by Anna Cereseto
This map shows the geographic impact of Anna Cereseto'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 Anna Cereseto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Cereseto more than expected).
Fields of papers citing papers by Anna Cereseto
This network shows the impact of papers produced by Anna Cereseto. 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 Anna Cereseto. The network helps show where Anna Cereseto may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Cereseto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 496 | |
| 2 | A highly specific SpCas9 variant is identified by in vivo screening in yeast Hit paper breakdown → | 2018 | 367 |
| 3 | 1997 | 241 | |
| 4 | 2008 | 200 | |
| 5 | 1998 | 145 | |
| 6 | 2005 | 135 | |
| 7 | 1996 | 131 | |
| 8 | 2008 | 108 | |
| 9 | 2021 | 102 | |
| 10 | 2011 | 98 | |
| 11 | 2018 | 94 | |
| 12 | 2020 | 93 | |
| 13 | 2010 | 80 | |
| 14 | 2001 | 78 | |
| 15 | 2008 | 78 | |
| 16 | 2016 | 77 | |
| 17 | 2009 | 75 | |
| 18 | 2017 | 71 | |
| 19 | 2019 | 70 | |
| 20 | 2006 | 65 |
About Anna Cereseto
Anna Cereseto is a scholar working on Virology, Immunology, Infectious Diseases, Agronomy and Crop Science and Molecular Biology, having authored 72 papers that have together received 3.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), CRISPR and Genetic Engineering (19 papers), T-cell and Retrovirus Studies (14 papers), HIV/AIDS drug development and treatment (14 papers), Vector-Borne Animal Diseases (10 papers), Animal Disease Management and Epidemiology (7 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Virology (848 citations), Immunology (1.2k citations), Business and International Management (100 citations), Agronomy and Crop Science (511 citations) and Aging (58 citations). Anna Cereseto has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Genoveffa Franchini, Mauro Giacca, James C. Mulloy, Warren J. Leonard, Daniele Arosio, Thi‐Sau Migone, Jian‐Xin Lin, Giulia Maule, Antonio Casini and John J. O’Shea. Their work appears in journals such as Retrovirology, Blood, Nature Communications, Molecular Therapy and Oncogene.
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.