Cassandra M. Hirsch

1.5k total citations
52 papers, 354 citations indexed

About

Cassandra M. Hirsch is a scholar working on Hematology, Genetics and Cancer Research. According to data from OpenAlex, Cassandra M. Hirsch has authored 52 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 26 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Cassandra M. Hirsch's work include Acute Myeloid Leukemia Research (37 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers) and Cancer Genomics and Diagnostics (14 papers). Cassandra M. Hirsch is often cited by papers focused on Acute Myeloid Leukemia Research (37 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers) and Cancer Genomics and Diagnostics (14 papers). Cassandra M. Hirsch collaborates with scholars based in United States, Japan and Germany. Cassandra M. Hirsch's co-authors include Jaroslaw P. Maciejewski, Mikkael A. Sekeres, Tomas Radivoyevitch, Bartlomiej Przychodzen, Aziz Nazha, Bhumika J. Patel, Swapna Thota, Michael J. Clemente, Hetty E. Carraway and Sudipto Mukherjee and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Leukemia.

In The Last Decade

Cassandra M. Hirsch

50 papers receiving 354 citations

Peers

Cassandra M. Hirsch

HEMAT

GENET

IMMUN

PFM

Yannick Le Bris France

Antonio Vendramin Italy

Mridul Agrawal United States

Keith Fishlock United Kingdom

László Gopcsa Hungary

Canan Alhan Netherlands

Velizar Shivarov Bulgaria

M. P. A. Lyttelton United Kingdom

Monica Tozzi Italy

H. T. Kim United States

Yannick Le Bris France

Cassandra M. Hirsch

124 ×0.5

HEMAT

108 ×0.7

GENET

126 ×1.2

IMMUN

90 ×1.0

PFM

81 ×0.9

Citations per year, relative to Cassandra M. Hirsch Cassandra M. Hirsch (= 1×) peers Yannick Le Bris

Countries citing papers authored by Cassandra M. Hirsch

Since Specialization

Citations

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

Fields of papers citing papers by Cassandra M. Hirsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cassandra M. Hirsch. 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 Cassandra M. Hirsch. The network helps show where Cassandra M. Hirsch may publish in the future.

Co-authorship network of co-authors of Cassandra M. Hirsch

This figure shows the co-authorship network connecting the top 25 collaborators of Cassandra M. Hirsch. A scholar is included among the top collaborators of Cassandra M. Hirsch 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 Cassandra M. Hirsch. Cassandra M. Hirsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Madanat, Yazan F., Mikkael A. Sekeres, Sudipto Mukherjee, et al.. (2018). Genomic Biomarkers Predict Response/Resistance to Lenalidomide in Non-Del(5q) Myelodysplastic Syndromes. Blood. 132(Supplement 1). 1797–1797. 6 indexed citations

Saygin, Caner, Cassandra M. Hirsch, Bartlomiej Przychodzen, et al.. (2018). Mutations in DNMT3A, U2AF1, and EZH2 identify intermediate-risk acute myeloid leukemia patients with poor outcome after CR1. Blood Cancer Journal. 8(1). 4–4. 36 indexed citations

Shen, Wenyi, Cassandra M. Hirsch, Bartlomiej Przychodzen, et al.. (2018). Heterozygous CTC1 Variants in Acquired Bone Marrow Failure. Blood. 132(Supplement 1). 3866–3866. 1 indexed citations

Clemente, Michael J., Bartlomiej Przychodzen, Cassandra M. Hirsch, et al.. (2018). Clonal PIGA mosaicism and dynamics in paroxysmal nocturnal hemoglobinuria. Leukemia. 32(11). 2507–2511. 8 indexed citations

Hirsch, Cassandra M., Michael J. Clemente, Vera Ademà, et al.. (2017). High Frequency of Subclonal Myeloid Mutations Can be Found in Large Granular Lymphocyte Leukemia. Blood. 130. 1171–1171. 1 indexed citations

Bartholdy, Boris, Kelly Mitchell, Wendy M. McKimpson, et al.. (2017). A myeloid tumor suppressor role for NOL3. The Journal of Experimental Medicine. 214(3). 753–771. 11 indexed citations

Madanat, Yazan F., Tomas Radivoyevitch, Aziz Nazha, et al.. (2017). Mutational Signatures Associated with Intensity and Duration of Smoking in Myelodysplastic Syndromes (MDS). Blood. 130. 424–424. 1 indexed citations

Madanat, Yazan F., Sudipto Mukherjee, Cassandra M. Hirsch, et al.. (2017). Model Heterogeneity in Predicting Outcomes of Patients with Myelodysplastic Syndromes (MDS). Blood. 130. 2972–2972. 2 indexed citations

Abuhadra, Nour, Sudipto Mukherjee, Cassandra M. Hirsch, et al.. (2017). BCOR Mutations in Myelodysplastic Syndromes (MDS): Mutation Characteristics Impact Clinical Outcomes. Blood. 130. 5304–5304. 3 indexed citations

10.

Nagata, Yasunobu, Bartlomiej Przychodzen, Cassandra M. Hirsch, et al.. (2017). Germline SAMD9 and SAMD9L Alterations in Adult Myelodysplastic Syndromes. Blood. 130. 1670–1670. 3 indexed citations

11.

Ademà, Vera, Cassandra M. Hirsch, Bartlomiej Przychodzen, et al.. (2017). Somatic PRPF8 Mutations in Myeloid Neoplasia. Blood. 130. 584–584. 2 indexed citations

12.

Hirsch, Cassandra M., Bartlomiej Przychodzen, Tomas Radivoyevitch, et al.. (2017). Molecular features of early onset adult myelodysplastic syndrome. Haematologica. 102(6). 1028–1034. 12 indexed citations

13.

Nazha, Aziz, Sudipto Mukherjee, Vera Ademà, et al.. (2017). A Personalized Prediction Model to Risk Stratify Patients with Acute Myeloid Leukemia (AML). Blood. 130. 1408–1408. 2 indexed citations

14.

Ademà, Vera, Suresh Kumar Balasubramanian, Cassandra M. Hirsch, et al.. (2017). Novel Therapeutic Targets for DNMT3A Mutant Myeloid Neoplasms. Blood. 130. 106–106. 1 indexed citations

15.

Nazha, Aziz, Betty K. Hamilton, Tomas Radivoyevitch, et al.. (2017). Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes. Leukemia. 31(12). 2848–2850. 49 indexed citations

16.

Balasubramanian, Suresh Kumar, Swapna Thota, Mai Aly, et al.. (2017). Rational management approach to pure red cell aplasia. Haematologica. 103(2). 221–230. 54 indexed citations

17.

Nazha, Aziz, Tomas Radivoyevitch, Hetty E. Carraway, et al.. (2016). The complexity of interpreting genomic data in patients with acute myeloid leukemia. Blood Cancer Journal. 6(12). e510–e510. 17 indexed citations

18.

Patel, Bhumika J., Cassandra M. Hirsch, Michael J. Clemente, et al.. (2015). Genetic and molecular characterization of myelodysplastic syndromes and related myeloid neoplasms. International Journal of Hematology. 101(3). 213–218. 6 indexed citations

19.

Przychodzen, Bartlomiej, Xiaorong Gu, Dewen You, et al.. (2015). PHF6 - Somatic Mutations and Their Role in Pathophysiology of MDS and AML. Blood. 126(23). 1259–1259. 2 indexed citations

20.

Patel, Bhumika J., Bartlomiej Przychodzen, Michael J. Clemente, et al.. (2015). Impact of Eltrombopag on Expansion of Clones with Somatic Mutations in Refractory Aplastic Anemia. Blood. 126(23). 300–300. 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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