Anna Candoni
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Genetics top 2%
Papers in
- Hematology 69
- Acute Myeloid Leukemia Research 53
- Chronic Myeloid Leukemia Treatments 14
-
- Retinoids in leukemia and cellular processes 12
- Co-authors
- Renato Fanin (46 shared papers)Livio Pagano (34 shared papers)Alessandro Busca (26 shared papers)Annamaria Nosari (10 shared papers)Corrado Girmenia (8 shared papers)Mario Tiribelli (11 shared papers)Davide Lazzarotto (16 shared papers)Luana Fianchi (8 shared papers)
- Journals
- Blood (17 papers)Leukemia Research (9 papers)British Journal of Haematology (8 papers)European Journal Of Haematology (8 papers)Journal of Antimicrobial Chemotherapy (5 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Anna Candoni
144 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 96
- Hematology 1.1k
- Genetics 498
- Infectious Diseases 823
- Molecular Medicine 157
- Neurology 423
Countries citing papers authored by Anna Candoni
This map shows the geographic impact of Anna Candoni'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 Candoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Candoni more than expected).
Fields of papers citing papers by Anna Candoni
This network shows the impact of papers produced by Anna Candoni. 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 Candoni. The network helps show where Anna Candoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Candoni, 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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 380 | |
| 2 | Mucormycosis in hematologic patients. | 2004 | 227 |
| 3 | 2014 | 160 | |
| 4 | 2015 | 136 | |
| 5 | 2016 | 116 | |
| 6 | 2012 | 90 | |
| 7 | 2014 | 79 | |
| 8 | 2008 | 70 | |
| 9 | 2008 | 69 | |
| 10 | 2003 | 68 | |
| 11 | 2004 | 68 | |
| 12 | 2004 | 59 | |
| 13 | 2013 | 57 | |
| 14 | 2009 | 57 | |
| 15 | 2011 | 52 | |
| 16 | 2017 | 46 | |
| 17 | 2015 | 45 | |
| 18 | 2004 | 44 | |
| 19 | 2024 | 43 | |
| 20 | 2017 | 40 |
About Anna Candoni
Anna Candoni is a scholar working on Hematology, Molecular Biology, Oncology, Infectious Diseases and Genetics, having authored 154 papers that have together received 3.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (53 papers), Antifungal resistance and susceptibility (26 papers), Acute Lymphoblastic Leukemia research (18 papers), Neutropenia and Cancer Infections (18 papers), Chronic Lymphocytic Leukemia Research (18 papers), Fungal Infections and Studies (17 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Retinoids in leukemia and cellular processes (12 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (498 citations), Infectious Diseases (823 citations), Molecular Medicine (157 citations) and Neurology (423 citations). Anna Candoni has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Renato Fanin, Livio Pagano, Alessandro Busca, Annamaria Nosari, Corrado Girmenia, Mario Tiribelli, Davide Lazzarotto, Luana Fianchi, Michele Baccarani and Daniela Damiani. Their work appears in journals such as Blood, Leukemia Research, British Journal of Haematology, European Journal Of Haematology and Journal of Antimicrobial 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.