Sam Agresta
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Hematology 18
- Acute Myeloid Leukemia Research 14
- Blood groups and transfusion 3
-
- Cancer Genomics and Diagnostics 8
- Cancer, Hypoxia, and Metabolism 8
- Co-authors
- Katharine Yen (11 shared papers)Hua Yang (15 shared papers)Camelia Gliser (5 shared papers)Courtney D. DiNardo (2 shared papers)Hagop M. Kantarjian (2 shared papers)Koichi Takahashi (1 shared paper)Marina Konopleva (1 shared paper)Tapan M. Kadia (1 shared paper)
- Journals
- Blood (13 papers)Cancer Research (4 papers)Molecular Cancer Therapeutics (3 papers)The Oncologist (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Sam Agresta
27 papers receiving 937 citations
Peers
Comparison fields: 5 of 55
- Hematology 431
- Genetics 260
- Cancer Research 295
- Molecular Biology 458
- Rheumatology 62
Countries citing papers authored by Sam Agresta
This map shows the geographic impact of Sam Agresta'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 Sam Agresta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Agresta more than expected).
Fields of papers citing papers by Sam Agresta
This network shows the impact of papers produced by Sam Agresta. 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 Sam Agresta. The network helps show where Sam Agresta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Agresta, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 221 | |
| 2 | 2014 | 132 | |
| 3 | 2020 | 116 | |
| 4 | 2019 | 75 | |
| 5 | 2014 | 69 | |
| 6 | 2014 | 63 | |
| 7 | 2015 | 46 | |
| 8 | 2018 | 41 | |
| 9 | 2014 | 40 | |
| 10 | 2015 | 28 | |
| 11 | 2014 | 20 | |
| 12 | 2019 | 18 | |
| 13 | 2014 | 17 | |
| 14 | 2015 | 16 | |
| 15 | 2016 | 16 | |
| 16 | 2014 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 2014 | 3 |
About Sam Agresta
Sam Agresta is a scholar working on Hematology, Cancer Research, Molecular Biology, Physiology and Genetics, having authored 29 papers that have together received 953 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Cancer Genomics and Diagnostics (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Epigenetics and DNA Methylation (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Blood groups and transfusion (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Hematology (431 citations), Genetics (260 citations), Cancer Research (295 citations), Molecular Biology (458 citations) and Rheumatology (62 citations). Sam Agresta has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Katharine Yen, Hua Yang, Camelia Gliser, Courtney D. DiNardo, Hagop M. Kantarjian, Koichi Takahashi, Marina Konopleva, Tapan M. Kadia, Bin Fan and Mark J. Routbort. Their work appears in journals such as Blood, Cancer Research, Molecular Cancer Therapeutics, The Oncologist and American Journal of Hematology.
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.