Tamara Westover

571 total citations
9 papers, 23 citations indexed

About

Tamara Westover is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Tamara Westover has authored 9 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 6 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Tamara Westover's work include Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (4 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Tamara Westover is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Protein Degradation and Inhibitors (4 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Tamara Westover collaborates with scholars based in United States, Italy and Netherlands. Tamara Westover's co-authors include Jeffery M. Klco, Jason R. Schwartz, Virginia Valentine, Michael Walsh, Marcus B. Valentine, Masayuki Umeda, Sherif Abdelhamed, Stanley Pounds, Jing Ma and Huiyun Wu and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Leukemia.

In The Last Decade

Tamara Westover

8 papers receiving 23 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tamara Westover United States	3	13	11	7	5	5	9	23
Federico Itri Italy	2	9 0.7×	7 0.6×	4 0.6×	4 0.8×	3 0.6×	6	17
Kaja Hoyer Denmark	2	11 0.8×	7 0.6×	2 0.3×	5 1.0×	2 0.4×	4	19
Fátima Mirás Spain	2	14 1.1×	4 0.4×	5 0.7×	7 1.4×	5 1.0×	3	18
Hannah Poisner United States	2	11 0.8×	5 0.5×	2 0.3×	9 1.8×	3 0.6×	3	18
Chloé Friedrich France	3	14 1.1×	16 1.5×	2 0.3×	8 1.6×	2 0.4×	7	27
Mengdie Feng China	4	14 1.1×	20 1.8×	2 0.3×	3 0.6×	2 0.4×	6	28
James Nisbet United Kingdom	2	9 0.7×	19 1.7×	3 0.4×	10 2.0×	16 3.2×	2	31
Catarina Maia United States	1	12 0.9×	6 0.5×	8 1.1×	3 0.6×	1 0.2×	3	17
Y. S. Zhu China	2	26 2.0×	11 1.0×	13 1.9×	1 0.2×	4 0.8×	7	42
Longcheng Wang United States	3	6 0.5×	5 0.5×	5 0.7×	5 1.0×	7 1.4×	3	26

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-authorship network of co-authors of Tamara Westover

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Westover. A scholar is included among the top collaborators of Tamara Westover based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamara Westover. Tamara Westover is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Westover, Tamara, Michael Walsh, Sherif Abdelhamed, et al.. (2025). Genomic landscape and clonal architecture in pediatric myeloid neoplasms with chromosome 7 deletions. PubMed. 2(2). 100093–100093.

2.

Wong, Jasmine C., Tamara Westover, Benjamin J. Huang, et al.. (2024). 5G2 mutant mice model loss of a commonly deleted segment of chromosome 7q22 in myeloid malignancies. Leukemia. 38(5). 1182–1186. 1 indexed citations

3.

Thomas, Melvin E., Michael P. Walsh, Jing Ma, et al.. (2024). Functional characterization of cooperating MGA mutations in RUNX1::RUNX1T1 acute myeloid leukemia. Leukemia. 38(5). 991–1002. 2 indexed citations

4.

Barajas, Juan M., Masayuki Umeda, Mahsa Khanlari, et al.. (2024). <i>UBTF</i> tandem duplications in pediatric myelodysplastic syndrome and acute myeloid leukemia: implications for clinical screening and diagnosis. Haematologica. 109(8). 2459–2468. 1 indexed citations

5.

Barajas, Juan M., Masayuki Umeda, Jing Ma, et al.. (2023). UBTF Tandem Duplications in Pediatric MDS and AML: Implications for Clinical Screening and Diagnosis. Blood. 142(Supplement 1). 838–838. 1 indexed citations

6.

Umeda, Masayuki, Nicole L. Michmerhuizen, Ryan Hiltenbrand, et al.. (2023). Genetic and Functional Characterization of NUP98-Rearranged Leukemia. Blood. 142(Supplement 1). 1562–1562. 1 indexed citations

7.

Abdelhamed, Sherif, Melvin E. Thomas, Tamara Westover, et al.. (2022). Mutant Samd9l expression impairs hematopoiesis and induces bone marrow failure in mice. Journal of Clinical Investigation. 132(21). 14 indexed citations

8.

Umeda, Masayuki, Nicole L. Michmerhuizen, Jing Ma, et al.. (2022). AML-283 The Genetic Landscape of NUP98-Rearranged Pediatric Leukemia. Clinical Lymphoma Myeloma & Leukemia. 22. S233–S233. 1 indexed citations

9.

Montefiori, Lindsey E., Zhaohui Gu, Xiaotu Ma, et al.. (2020). Enhancer Hijacking of BCL11B Defines a Subtype of Lineage Ambiguous Acute Leukemia. Blood. 136(Supplement_2). LBA–3. 2 indexed citations

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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