Seth J. Corey

4.8k total citations
114 papers, 3.5k citations indexed

About

Seth J. Corey is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Seth J. Corey has authored 114 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 39 papers in Genetics and 38 papers in Molecular Biology. Recurrent topics in Seth J. Corey's work include Blood disorders and treatments (39 papers), Acute Myeloid Leukemia Research (23 papers) and Immunodeficiency and Autoimmune Disorders (16 papers). Seth J. Corey is often cited by papers focused on Blood disorders and treatments (39 papers), Acute Myeloid Leukemia Research (23 papers) and Immunodeficiency and Autoimmune Disorders (16 papers). Seth J. Corey collaborates with scholars based in United States, Italy and Poland. Seth J. Corey's co-authors include Hrishikesh Mehta, Steven M. Anderson, Joseph B. Bolen, Željka Korade, Aaron D. Schimmer, Dwayne L. Barber, Hagop M. Kantarjian, Jean Wang, Mark D. Minden and Sean M. Hartig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Seth J. Corey

109 papers receiving 3.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Seth J. Corey 1.4k 1.1k 996 850 484 114 3.5k
Luigi Del Vecchio 2.3k 1.6× 983 0.9× 1.1k 1.1× 828 1.0× 671 1.4× 173 4.6k
Kazuo Todokoro 2.4k 1.7× 846 0.8× 983 1.0× 1.0k 1.2× 427 0.9× 74 4.2k
Kelvin P. Lee 2.3k 1.6× 3.1k 2.9× 1.1k 1.1× 1.5k 1.7× 275 0.6× 106 5.7k
Françoise Porteu 1.3k 0.9× 887 0.8× 603 0.6× 533 0.6× 268 0.6× 51 2.6k
Alexander Y. Tsygankov 2.1k 1.4× 1.0k 1.0× 424 0.4× 939 1.1× 210 0.4× 88 3.6k
Kamal D. Puri 2.1k 1.5× 2.0k 1.9× 715 0.7× 872 1.0× 1.3k 2.7× 52 4.9k
John P. McKearn 1.9k 1.3× 1.4k 1.3× 514 0.5× 939 1.1× 416 0.9× 56 3.7k
Yoshiro Maru 3.3k 2.3× 1.2k 1.2× 652 0.7× 1.5k 1.8× 372 0.8× 89 5.4k
Andréas Tsapis 885 0.6× 1.3k 1.2× 460 0.5× 607 0.7× 346 0.7× 71 2.8k
Christopher J. Donahue 2.6k 1.8× 1.4k 1.4× 590 0.6× 620 0.7× 256 0.5× 24 3.8k

Countries citing papers authored by Seth J. Corey

Since Specialization
Citations

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

Fields of papers citing papers by Seth J. Corey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seth J. Corey. 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 Seth J. Corey. The network helps show where Seth J. Corey may publish in the future.

Co-authorship network of co-authors of Seth J. Corey

This figure shows the co-authorship network connecting the top 25 collaborators of Seth J. Corey. A scholar is included among the top collaborators of Seth J. Corey 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 Seth J. Corey. Seth J. Corey 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.
Kawashima, Nozomu, Valentino Bezzerri, & Seth J. Corey. (2023). The Molecular and Genetic Mechanisms of Inherited Bone Marrow Failure Syndromes: The Role of Inflammatory Cytokines in Their Pathogenesis. Biomolecules. 13(8). 1249–1249. 5 indexed citations
2.
Kawashima, Nozomu, et al.. (2023). Shwachman-Diamond syndromes: clinical, genetic, and biochemical insights from the rare variants. Haematologica. 108(10). 2594–2605. 18 indexed citations
3.
Crane, Genevieve M., et al.. (2023). The metabolic basis of inherited neutropenias. British Journal of Haematology. 204(1). 45–55. 1 indexed citations
4.
Yang, Chao‐Yie, Hrishikesh Mehta, Rabi Hanna, et al.. (2022). Lymphocyte cytosolic protein 1 (L-plastin) I232F mutation impairs granulocytic proliferation and causes neutropenia. Blood Advances. 6(8). 2581–2594. 12 indexed citations
5.
Dinh, Khanh N., Roman Jaksik, Seth J. Corey, & Marek Kimmel. (2021). Predicting time to relapse in acute myeloid leukemia through stochastic modeling of minimal residual disease based on clonality data. SHILAP Revista de lepidopterología. 1(3). 7 indexed citations
6.
Vella, Antonio, Elisabetta D’Aversa, Giulia Breveglieri, et al.. (2020). mTOR and STAT3 Pathway Hyper-Activation is Associated with Elevated Interleukin-6 Levels in Patients with Shwachman-Diamond Syndrome: Further Evidence of Lymphoid Lineage Impairment. Cancers. 12(3). 597–597. 17 indexed citations
7.
Shah, Arish N, et al.. (2020). Loss of Sbds in zebrafish leads to neutropenia and pancreas and liver atrophy. JCI Insight. 5(17). 14 indexed citations
8.
Mehta, Hrishikesh, et al.. (2020). Inducible expression of a disease-associated ELANE mutation impairs granulocytic differentiation, without eliciting an unfolded protein response. Journal of Biological Chemistry. 295(21). 7492–7500. 17 indexed citations
9.
Jaksik, Roman, et al.. (2019). Predicting Minimal Residual Disease in Acute Myeloid Leukemia through Stochastic Modeling of Clonality. Blood. 134(Supplement_1). 1448–1448. 2 indexed citations
10.
Misra, Ashish, et al.. (2012). BAR proteins in cancer and blood disorders.. Europe PMC (PubMed Central). 9 indexed citations
11.
Horwitz, Marshall S., Seth J. Corey, H. Leighton Grimes, & Timothy Tidwell. (2012). ELANE Mutations in Cyclic and Severe Congenital Neutropenia. Hematology/Oncology Clinics of North America. 27(1). 19–41. 70 indexed citations
12.
Saengsawang, Witchuda, Kelly A. Mitok, Chris Viesselmann, et al.. (2012). The F-BAR Protein CIP4 Inhibits Neurite Formation by Producing Lamellipodial Protrusions. Current Biology. 22(6). 494–501. 37 indexed citations
13.
Guerrouahen, Bella S., Christos Vaklavas, Jukka Kanerva, et al.. (2010). Dasatinib Inhibits the Growth of Molecularly Heterogeneous Myeloid Leukemias. Clinical Cancer Research. 16(4). 1149–1158. 39 indexed citations
14.
Arvanitis, Constadina, Sean M. Hartig, Samuel A. Jensen, et al.. (2010). Cdc42-Interacting Protein 4 Promotes Breast Cancer Cell Invasion and Formation of Invadopodia through Activation of N-WASp. Cancer Research. 70(21). 8347–8356. 87 indexed citations
15.
Xia, Ling, et al.. (2007). Dasatinib blocks the growth, migration, and invasion of breast cancer cells through inhibition of Src family kinases. Cancer Research. 67. 5415–5415. 1 indexed citations
16.
Corey, Seth J.. (2005). New agents in the treatment of childhood leukemias and myelodysplastic syndromes. Current Oncology Reports. 7(6). 399–405. 3 indexed citations
17.
Grishin, Anatoly & Seth J. Corey. (2002). Src protein tyrosine kinases in stress responses. Korean Journal of Biological Sciences. 6(1). 1–12. 1 indexed citations
18.
Day, Regina M., et al.. (2002). Mitogenic synergy through multilevel convergence of hepatocyte growth factor and interleukin-4 signaling pathways. Oncogene. 21(14). 2201–2211. 10 indexed citations
19.
Corey, Seth J., et al.. (1999). Implications for Src Kinases in Hematopoiesis: Signal Transduction Therapeutics. Journal of Hematotherapy & Stem Cell Research. 8(5). 465–480. 4 indexed citations
20.
McGuire, Terence F., Yanning Qian, Mark A. T. Blaskovich, et al.. (1995). CAAX Peptidomimetic FTI-244 Decreases Platelet-Derived Growth Factor Receptor Tyrosine Phosphorylation Levels and Inhibits Stimulation of Phosphatidylinositol 3-Kinase but Not Mitogen-Activated Protein Kinase. Biochemical and Biophysical Research Communications. 214(1). 295–303. 13 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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