Sheida Hayati

635 total citations
13 papers, 298 citations indexed

About

Sheida Hayati is a scholar working on Genetics, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sheida Hayati has authored 13 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Hematology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sheida Hayati's work include Acute Myeloid Leukemia Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Hematological disorders and diagnostics (3 papers). Sheida Hayati is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Hematological disorders and diagnostics (3 papers). Sheida Hayati collaborates with scholars based in United States, Germany and France. Sheida Hayati's co-authors include Antonina Mitrofanova, Nicolas Floc’h, Yanping Sun, Roxanne Toivanen, Clémentine Le Magnen, Daniel Chester, Cory Abate‐Shen, Elahe A. Mostaghel, Michael M. Shen and Mark A. Rubin and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Sheida Hayati

13 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheida Hayati United States 4 188 141 98 94 47 13 298
Leighton C. Stein United States 10 97 0.5× 207 1.5× 111 1.1× 132 1.4× 18 0.4× 18 397
A. Valent France 10 125 0.7× 101 0.7× 89 0.9× 155 1.6× 16 0.3× 18 318
Tatjana Walther Germany 6 57 0.3× 171 1.2× 84 0.9× 79 0.8× 41 0.9× 7 317
Ding Cheng Gao United States 3 137 0.7× 189 1.3× 82 0.8× 216 2.3× 34 0.7× 6 385
Ewan J.D. Robson United Kingdom 6 61 0.3× 280 2.0× 63 0.6× 88 0.9× 21 0.4× 8 371
Lurdes Torres Portugal 11 70 0.4× 143 1.0× 137 1.4× 101 1.1× 72 1.5× 20 328
Estelle Daudigeos‐Dubus France 11 89 0.5× 161 1.1× 72 0.7× 102 1.1× 14 0.3× 19 332
Hehui Fang China 7 87 0.5× 229 1.6× 187 1.9× 186 2.0× 11 0.2× 12 400
S. Ogawa Japan 5 97 0.5× 164 1.2× 77 0.8× 141 1.5× 49 1.0× 5 303
Jason Glover United States 5 79 0.4× 115 0.8× 72 0.7× 74 0.8× 52 1.1× 8 243

Countries citing papers authored by Sheida Hayati

Since Specialization
Citations

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

Fields of papers citing papers by Sheida Hayati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheida Hayati

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

All Works

13 of 13 papers shown
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Aluri, Srinivas, Aarif Ahsan, Sheida Hayati, et al.. (2023). P697: DISTINCT SPLICING ALTERATIONS ASSOCIATED WITH CLINICAL RESPONSE TO LUSPATERCEPT IN PATIENTS WITH LOWER‑RISK MYELODYSPLASTIC SYNDROMES FROM THE MEDALIST STUDY. HemaSphere. 7(S3). e8463948–e8463948. 1 indexed citations
4.
Jeyaraju, Danny V., Sheida Hayati, Niloufar Marsousi, et al.. (2023). Predictive Biomarkers of Response to Luspatercept in Patients with Myelofibrosis- (MF) Associated Anemia: Biomarker Analysis from the ACE-536-MF-001 Study. Blood. 142(Supplement 1). 6330–6330. 1 indexed citations
5.
Platzbecker, Uwe, Sheida Hayati, Aarif Ahsan, et al.. (2023). P693: LUSPATERCEPT RESTORES EFFECTIVE ERYTHROPOIESIS AND PROVIDES SUPERIOR AND SUSTAINED CLINICAL BENEFIT VS EPOETIN ALFA: BIOMARKER ANALYSIS FROM THE PHASE 3 COMMANDS STUDY. HemaSphere. 7(S3). e379048e–e379048e. 2 indexed citations
6.
Komrokji, Rami S., et al.. (2023). Impact of Genomic Landscape and Mutational Burden on Primary Endpoint Responses in the COMMANDS Study. Blood. 142(Supplement 1). 4591–4591. 1 indexed citations
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Jeyaraju, Danny V., Sheida Hayati, Ann Polonskaia, et al.. (2022). Fedratinib Induces Cytokine Changes Correlating with Clinical Response in Ruxolitinib Exposed Myelofibrosis Patients: Biomarker Analysis from the Freedom Trial. Blood. 140(Supplement 1). 3865–3867. 1 indexed citations
10.
Anguiano, Esperanza, Keyur Desai, Sheida Hayati, et al.. (2020). Abstract 1997: Comparison of gene expression profiling platforms: Translatability of tumor inflammation gene signatures. Cancer Research. 80(16_Supplement). 1997–1997. 1 indexed citations
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Dillon, Laura W., Sheida Hayati, Gregory W. Roloff, et al.. (2018). Targeted RNA-sequencing for the quantification of measurable residual disease in acute myeloid leukemia. Haematologica. 104(2). 297–304. 30 indexed citations
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Panja, Sukanya, Sheida Hayati, Nusrat J Epsi, J. Scott Parrott, & Antonina Mitrofanova. (2018). Integrative (epi) Genomic Analysis to Predict Response to Androgen-Deprivation Therapy in Prostate Cancer. EBioMedicine. 31. 110–121. 11 indexed citations
13.
Zou, Min, Roxanne Toivanen, Antonina Mitrofanova, et al.. (2017). Transdifferentiation as a Mechanism of Treatment Resistance in a Mouse Model of Castration-Resistant Prostate Cancer. Cancer Discovery. 7(7). 736–749. 240 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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