Anna Scuto
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
Papers in ⓘ
-
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 5
- Oncology 14
- Cytokine Signaling Pathways and Interactions 7
- Cancer-related Molecular Pathways 4
- Co-authors
- Richard Jove (14 shared papers)Stephen J. Forman (10 shared papers)Claudia Kowolik (6 shared papers)Celia Sigua (5 shared papers)Kapil N. Bhalla (5 shared papers)Fei Guo (5 shared papers)Warren Fiskus (5 shared papers)Srinivas Annavarapu (5 shared papers)
- Journals
- Cancer Research (9 papers)Blood (9 papers)Molecular Cancer Therapeutics (2 papers)Molecular Oncology (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)
- Partner nations
- United StatesItalyArgentina
In The Last Decade
Anna Scuto
29 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 103
- Hematology 301
- Oncology 667
- Immunology 462
- Molecular Biology 1.4k
- Cancer Research 278
Countries citing papers authored by Anna Scuto
This map shows the geographic impact of Anna Scuto'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 Scuto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Scuto more than expected).
Fields of papers citing papers by Anna Scuto
This network shows the impact of papers produced by Anna Scuto. 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 Scuto. The network helps show where Anna Scuto may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Scuto, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 302 | |
| 2 | 2004 | 273 | |
| 3 | 2005 | 173 | |
| 4 | 2004 | 140 | |
| 5 | 2008 | 119 | |
| 6 | 2004 | 114 | |
| 7 | 2004 | 113 | |
| 8 | 2010 | 99 | |
| 9 | 2010 | 97 | |
| 10 | 2011 | 93 | |
| 11 | 2011 | 92 | |
| 12 | 2011 | 92 | |
| 13 | 2011 | 89 | |
| 14 | 2012 | 82 | |
| 15 | 2005 | 69 | |
| 16 | 2014 | 66 | |
| 17 | 2012 | 59 | |
| 18 | 2015 | 32 | |
| 19 | 2004 | 30 | |
| 20 | 2012 | 16 |
About Anna Scuto
Anna Scuto is a scholar working on Hematology, Oncology, Genetics, Parasitology and Immunology, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Protein Degradation and Inhibitors (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Hematology (301 citations), Oncology (667 citations), Immunology (462 citations), Molecular Biology (1.4k citations) and Cancer Research (278 citations). Anna Scuto has collaborated with scholars based in United States, Italy and Argentina. Frequent co-authors include Richard Jove, Stephen J. Forman, Claudia Kowolik, Celia Sigua, Kapil N. Bhalla, Fei Guo, Warren Fiskus, Srinivas Annavarapu, Purva Bali and Prince George. Their work appears in journals such as Cancer Research, Blood, Molecular Cancer Therapeutics, Molecular Oncology and Clinical Chemistry and Laboratory Medicine (CCLM).
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.