Sam Agresta

5.3k citations
28 papers · 928 · h-index 15

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 14
    • Cancer Genomics and Diagnostics 8
    • Cancer, Hypoxia, and Metabolism 8

Sam Agresta

27 papers receiving 919 citations

Peers

Sam Agresta
Comparison fields: 5 of 53
  • Hematology 424
  • Genetics 253
  • Cancer Research 287
  • Molecular Biology 445
  • Rheumatology 60
Replace Ashwin Kishtagari with:
Ashwin Kishtagari United States
Zineb Hamilou Canada
Gabriella Sammarelli Italy
Lurdes Zamora Spain
Tong Sun United States
Marie Jarošová Czechia
Camelia Gliser United States
Leonie Saft Sweden
Paolo Gallipoli United Kingdom
Katherine Waghorn United Kingdom
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Citations per field
00.5×10×15×21.3×
Ashwin Kishtagari · 1×
Citations per year

Countries citing papers authored by Sam Agresta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sam Agresta Line = papers co-authored together Sam Agresta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015216
2 2014129
3 2020114
4 201973
5 201468
6 201461
7 201545
8 201440
9 201840
10 201526
11 201419
12 201417
13 201516
14 201916
15 201615
16 20146
17 20146
18 20155
19 20113
20 20143

About Sam Agresta

Sam Agresta is a scholar working on Hematology, Cancer Research, Molecular Biology, Genetics and Oncology, having authored 28 papers that have together received 928 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), Histone Deacetylase Inhibitors Research (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Glioma Diagnosis and Treatment (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (424 citations), Genetics (253 citations), Cancer Research (287 citations), Molecular Biology (445 citations) and Rheumatology (60 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, Hagop M. Kantarjian, Courtney D. DiNardo, Guillermo Garcia‐Manero, Bin Fan, Keyur P. Patel, Marina Konopleva and Mark J. Routbort. Their work appears in journals such as Blood, Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology and Neuro-Oncology.

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.

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