Yael Kusne

1.1k total citations
52 papers, 660 citations indexed

About

Yael Kusne is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Yael Kusne has authored 52 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hematology, 15 papers in Genetics and 13 papers in Oncology. Recurrent topics in Yael Kusne's work include Acute Myeloid Leukemia Research (9 papers), Otitis Media and Relapsing Polychondritis (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). Yael Kusne is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Otitis Media and Relapsing Polychondritis (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). Yael Kusne collaborates with scholars based in United States, United Kingdom and France. Yael Kusne's co-authors include Jon Valla, Eric M. Reiman, Andrew B. Wolf, Mrinal M. Patnaik, Nader Sanai, Frank M. LaFerla, R. Yaari, Thomas G. Beach, Richard J. Caselli and Matthew J. Huentelman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Yael Kusne

41 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yael Kusne United States 12 207 206 90 78 77 52 660
Glenda Hendson Canada 19 288 1.4× 135 0.7× 141 1.6× 184 2.4× 63 0.8× 45 1.3k
Stefan Braeuninger Germany 12 174 0.8× 122 0.6× 140 1.6× 127 1.6× 31 0.4× 16 646
Marleen J.A. Koel‐Simmelink Netherlands 17 313 1.5× 264 1.3× 87 1.0× 37 0.5× 37 0.5× 32 821
Nicole Reed United States 10 144 0.7× 110 0.5× 146 1.6× 57 0.7× 42 0.5× 14 632
Eleonora Marchina Italy 16 292 1.4× 46 0.2× 101 1.1× 62 0.8× 28 0.4× 41 728
Bitao Bu China 15 318 1.5× 220 1.1× 176 2.0× 39 0.5× 15 0.2× 42 898
Emma L. Braine Australia 14 297 1.4× 114 0.6× 248 2.8× 33 0.4× 42 0.5× 24 996
Sabine Pfeifenbring Germany 10 315 1.5× 83 0.4× 68 0.8× 38 0.5× 135 1.8× 15 1.0k
Marco Barbariga Italy 14 208 1.0× 93 0.5× 89 1.0× 40 0.5× 80 1.0× 21 658
Aivi T. Nguyen United States 13 247 1.2× 211 1.0× 54 0.6× 142 1.8× 35 0.5× 36 779

Countries citing papers authored by Yael Kusne

Since Specialization
Citations

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

Fields of papers citing papers by Yael Kusne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yael Kusne

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

All Works

20 of 20 papers shown
1.
Kusne, Yael, Talha Badar, Terra L. Lasho, et al.. (2025). Prevalence of cytopenia(s) and somatic variants in patients with DDX41 mutant germline predisposition syndrome. British Journal of Haematology. 206(4). 1109–1120. 2 indexed citations
2.
Zarka, Jonathan, Irbaz Bin Riaz, Syed Arsalan Ahmed Naqvi, et al.. (2025). 2403P LuRa: Efficacy and Tolerability of Radium-223 Following [177Lu]Lu-PSMA-617 in Patients with Metastatic Castration-Resistant Prostate Cancer. Annals of Oncology. 36. S1223–S1223.
3.
Kusne, Yael, Mrinal M. Patnaik, Þorvarður R. Hálfdánarson, & Mohamad Bassam Sonbol. (2025). Therapy-related myeloid neoplasms in 177Lu-DOTATATE treated neuroendocrine tumor patients: how great is the risk?. Endocrine Related Cancer. 32(6).
4.
Kusne, Yael, Skye Buckner‐Petty, Oliver Sartor, et al.. (2025). Hematologic dysfunction and myeloid neoplasm risk in patients treated with lutetium-177 prostate specific antigen membrane therapy. Haematologica. 110(9). 2187–2192.
5.
Hanson, Andrew C., Cynthia S. Crowson, Mrinal M. Patnaik, et al.. (2025). Developing efficient predictive models for the diagnosis of VEXAS syndrome. Seminars in Arthritis and Rheumatism. 74. 152796–152796. 1 indexed citations
6.
Kusne, Yael, Talha Badar, Terra L. Lasho, et al.. (2024). Prevalence and Clinical Features of Non-Myeloid Neoplasms in Patients with DDX41 Mutant Germline Predisposition Syndrome. Blood. 144(Supplement 1). 440–440.
7.
Kusne, Yael, Terra L. Lasho, Christy M. Finke, et al.. (2024). Clonal Hematopoiesis in Patients With Neuroendocrine Tumor Treated With Lutetium-177 and the Risk of Thrombocytopenia: A Prospective Study. JCO Precision Oncology. 8(8). e2400143–e2400143. 2 indexed citations
8.
Badar, Talha, Terra L. Lasho, Yael Kusne, et al.. (2024). PPM1D Somatic Mutations in Myeloid Neoplasms: Clinical Profile, Clonal Characteristics and Impact of Concurrent Somatic TP53 Mutations. Blood. 144(Supplement 1). 3218–3218. 1 indexed citations
9.
Kalantari, Kambiz, Loren P. Herrera Hernandez, Lihong Bu, et al.. (2024). Acute kidney injury, an underrecognized feature of VEXAS syndrome. Lara D. Veeken. 64(4). 2027–2033. 3 indexed citations
10.
Kusne, Yael, Katalin Kelemen, Mark R. Litzow, et al.. (2023). Predictors of survival outcomes in patients with MECOM EVI1 rearrangement aberrations in AML or MDS.. Journal of Clinical Oncology. 41(16_suppl). e19078–e19078. 2 indexed citations
11.
Ernani, Vinicius, Adams K. Appiah, Daniel Rodríguez Rius, et al.. (2022). Lobar versus sublobar resection for atypical lung carcinoid: An analysis from the National Cancer Database. Cancer. 129(6). 860–866. 5 indexed citations
12.
Kusne, Yael, Jenna Fernandez, & Mrinal M. Patnaik. (2021). Clonal hematopoiesis and VEXAS syndrome: survival of the fittest clones?. Seminars in Hematology. 58(4). 226–229. 25 indexed citations
13.
Kusne, Yael, et al.. (2021). Implications of Neuroendocrine Tumor and Diabetes Mellitus on Patient Outcomes and Care: a Matched case–control Study. Future Science OA. 7(5). FSO684–FSO684. 6 indexed citations
14.
Kusne, Yael, et al.. (2020). Mortality and Glycemic Control Among Patients With Diabetes Mellitus and Uterine Or Ovarian Cancer. Future Science OA. 7(3). FSO670–FSO670. 3 indexed citations
15.
Shen, Joanne F & Yael Kusne. (2017). Botulinum toxin A use in dry eye patients with superior limbic keratoconjunctivitis (SLK). Investigative Ophthalmology & Visual Science. 58(8). 2698–2698. 1 indexed citations
16.
Kusne, Yael, et al.. (2016). Visual system manifestations of Alzheimer's disease. Acta Ophthalmologica. 95(8). e668–e676. 51 indexed citations
17.
Mirzadeh, Zaman, Robert W. Bina, Yael Kusne, et al.. (2014). Predictors of functional recovery in adults with posterior fossa ependymomas. Journal of neurosurgery. 120(5). 1063–1068. 3 indexed citations
18.
Sanai, Nader, et al.. (2014). GLIOMA STEM CELL HOMING TO THE HUMAN SUBVENTRICULAR ZONE. Neuro-Oncology. 16(suppl 3). iii19–iii19.
19.
Kusne, Yael, Emily L. Goldberg, Sara S. Parker, et al.. (2013). Contrasting effects of chronic, systemic treatment with mTOR inhibitors rapamycin and metformin on adult neural progenitors in mice. AGE. 36(1). 199–212. 9 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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