Sam Agresta

5.2k citations
27 papers · 912 · 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
    • Multiple Myeloma Research and Treatments 3
    • Cancer Genomics and Diagnostics 8
    • Cancer, Hypoxia, and Metabolism 8

Sam Agresta

27 papers receiving 903 citations

Peers

Sam Agresta
Comparison fields: 5 of 54
  • Hematology 442
  • Genetics 285
  • Cancer Research 315
  • Molecular Biology 474
  • Oncology 121
Replace Ashwin Kishtagari with:
Ashwin Kishtagari United States
Annette Fasan Germany
Zineb Hamilou Canada
Gabriella Sammarelli Italy
Dong‐ming Yao China
Carrie Brownstein United States
Kathy L. McGraw United States
Katherine Waghorn United Kingdom
Camelia Gliser United States
Marie Jarošová Czechia
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Citations per field
00.5×10×15×21.8×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015213
2 2014128
3 2020109
4 201971
5 201468
6 201459
7 201545
8 201440
9 201839
10 201526
11 201419
12 201417
13 201516
14 201615
15 201914
16 20146
17 20146
18 20155
19 20143
20 20113

About Sam Agresta

Sam Agresta is a scholar working on Hematology, Cancer Research, Molecular Biology, Oncology and Genetics, having authored 27 papers that have together received 912 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 (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Multiple Myeloma Research and Treatments (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (442 citations), Genetics (285 citations), Cancer Research (315 citations), Molecular Biology (474 citations) and Oncology (121 citations). Sam Agresta has collaborated with scholars based in United States, France and Ireland. Frequent co-authors include Katharine Yen, Hua Yang, Camelia Gliser, Hagop M. Kantarjian, Courtney D. DiNardo, Bin Fan, Marina Konopleva, Sherry Pierce, Keyur P. Patel and Farhad Ravandi. Their work appears in journals such as Blood, Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology and Investigational New Drugs.

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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