Tamara Westover

603 citations
9 papers · 24 · h-index 3

Impact in

    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
    • Blood disorders and treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 9
    • Chronic Myeloid Leukemia Treatments 2
    • Protein Degradation and Inhibitors 4
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 1

Tamara Westover

8 papers receiving 24 citations

Peers

Tamara Westover
Comparison fields: 5 of 13
  • Hematology 14
  • Genetics 5
  • Immunology 7
  • Genetics 5
  • Molecular Biology 12
Replace Federico Itri with:
Federico Itri Italy
Lesedi Williams United Kingdom
Longcheng Wang United States
Jessica M McCarty United States
Lisa Leung United States
Fátima Mirás Spain
James Nisbet Netherlands
Mark C. Thel United States
Jens Langstein Germany
S. Warnock United States
Tamara Westover relative to Federico Itri Italy Federico Itri's profile →
Citations per field
00.5×2.7×
Federico Itri · 1×
Citations per year

Countries citing papers authored by Tamara Westover

Since Specialization
Citations

This map shows the geographic impact of Tamara Westover'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 Tamara Westover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Westover more than expected).

Fields of papers citing papers by Tamara Westover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara Westover. 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 Tamara Westover. The network helps show where Tamara Westover may publish in the future.

Co-authors

The 25 scholars most cited alongside Tamara Westover, 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 Tamara Westover Line = papers co-authored together Tamara Westover links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202214
2 20242
3 20242
4 20202
5 20231
6 20241
7 20221
8 20231
9 20250

About Tamara Westover

Tamara Westover is a scholar working on Hematology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 24 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (4 papers), Chronic Myeloid Leukemia Treatments (2 papers), Genomics and Chromatin Dynamics (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Epigenetics and DNA Methylation (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (14 citations), Genetics (5 citations), Immunology (7 citations), Genetics (5 citations) and Molecular Biology (12 citations). Tamara Westover has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Jeffery M. Klco, Jing Ma, Melvin E. Thomas, Michael Walsh, Masayuki Umeda, Marcus B. Valentine, Virginia Valentine, Stanley Pounds, Jason R. Schwartz and Laura J. Janke. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Investigation, Haematologica and Clinical Lymphoma Myeloma & Leukemia.

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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