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
-
- Histone Deacetylase Inhibitors Research 5
- Protein Degradation and Inhibitors 3
- 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 (7 shared papers)Kapil N. Bhalla (5 shared papers)Fei Guo (5 shared papers)Srinivas Annavarapu (5 shared papers)Purva Bali (5 shared papers)Prince George (4 shared papers)
- Journals
- Blood (9 papers)Cancer Research (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
30 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 104
- Hematology 286
- Oncology 614
- Immunology 440
- Molecular Biology 1.4k
- Cancer Research 260
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 | 324 | |
| 2 | 2004 | 287 | |
| 3 | 2005 | 181 | |
| 4 | 2004 | 156 | |
| 5 | 2008 | 120 | |
| 6 | 2004 | 117 | |
| 7 | 2004 | 113 | |
| 8 | 2010 | 104 | |
| 9 | 2010 | 103 | |
| 10 | 2011 | 98 | |
| 11 | 2011 | 93 | |
| 12 | 2011 | 92 | |
| 13 | 2011 | 91 | |
| 14 | 2012 | 85 | |
| 15 | 2005 | 71 | |
| 16 | 2014 | 69 | |
| 17 | 2012 | 61 | |
| 18 | 2015 | 42 | |
| 19 | 2004 | 30 | |
| 20 | 2012 | 16 |
About Anna Scuto
Anna Scuto is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Genetics, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer-related Molecular Pathways (4 papers), Acute Myeloid Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Hematology (286 citations), Oncology (614 citations), Immunology (440 citations), Molecular Biology (1.4k citations) and Cancer Research (260 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, Kapil N. Bhalla, Fei Guo, Srinivas Annavarapu, Purva Bali, Prince George, Warren Fiskus and Celia Sigua. Their work appears in journals such as Blood, Cancer Research, 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.