Stephen Hyter

434 total citations
21 papers, 306 citations indexed

About

Stephen Hyter is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Stephen Hyter has authored 21 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Cell Biology. Recurrent topics in Stephen Hyter's work include Cancer Genomics and Diagnostics (6 papers), melanin and skin pigmentation (5 papers) and Acute Myeloid Leukemia Research (4 papers). Stephen Hyter is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), melanin and skin pigmentation (5 papers) and Acute Myeloid Leukemia Research (4 papers). Stephen Hyter collaborates with scholars based in United States, France and Canada. Stephen Hyter's co-authors include Andrew K. Godwin, Arup K. Indra, Gitali Ganguli‐Indra, Katherine F. Roby, Harsh B. Pathak, Daniel J. Coleman, Ziyan Y. Pessetto, Gary F. Merrill, Masashi Yanagisawa and Devin C. Koestler and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Stephen Hyter

21 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Hyter United States 11 147 87 86 72 59 21 306
Kun Cai China 11 242 1.6× 56 0.6× 64 0.7× 126 1.8× 12 0.2× 13 341
Vito W. Rebecca United States 7 278 1.9× 84 1.0× 67 0.8× 85 1.2× 20 0.3× 11 458
Yelitza A. R. Rodriguez United States 7 153 1.0× 66 0.8× 53 0.6× 63 0.9× 6 0.1× 8 320
Seung Ha Yang South Korea 6 114 0.8× 24 0.3× 94 1.1× 25 0.3× 38 0.6× 14 282
Christine Pich-Bavastro Switzerland 11 159 1.1× 101 1.2× 39 0.5× 109 1.5× 26 0.4× 16 325
Shiyi Yu China 12 257 1.7× 97 1.1× 49 0.6× 67 0.9× 6 0.1× 21 335
Natalia Trempolec Spain 8 185 1.3× 73 0.8× 41 0.5× 64 0.9× 7 0.1× 8 361
Zhi Xu China 8 243 1.7× 88 1.0× 18 0.2× 196 2.7× 9 0.2× 14 419

Countries citing papers authored by Stephen Hyter

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Hyter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Hyter

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Hyter. A scholar is included among the top collaborators of Stephen Hyter 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 Stephen Hyter. Stephen Hyter 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.
Stecklein, Shane R., Bruce F. Kimler, Rachel Yoder, et al.. (2023). ctDNA and residual cancer burden are prognostic in triple-negative breast cancer patients with residual disease. npj Breast Cancer. 9(1). 10–10. 16 indexed citations
2.
Stecklein, Shane R., Devin C. Koestler, Nanda Kumar Yellapu, et al.. (2023). Extracellular vesicle-derived non-coding RNAs to predict outcome in patients with triple-negative breast cancer (TNBC) with residual disease (RD).. Journal of Clinical Oncology. 41(16_suppl). 578–578. 3 indexed citations
3.
Kasi, Anup, Harsh B. Pathak, Stephen Hyter, et al.. (2023). Circulating Tumor Cell Subpopulations Predict Treatment Outcome in Pancreatic Ductal Adenocarcinoma (PDAC) Patients. Cells. 12(18). 2266–2266. 6 indexed citations
4.
Li, Peng, Julie Feusier, Stephen Hyter, et al.. (2023). Morphologic, immunophenotypic, molecular genetic, and clinical characterization in patients with SRSF2-mutated acute myeloid leukemia. American Journal of Clinical Pathology. 160(5). 490–499. 3 indexed citations
5.
Kasi, Anup, Junqiang Dai, Raed Moh’d Taiseer Al-Rajabi, et al.. (2023). Targeting germline or somatic DNA repair defects (beyond BRCA) in pancreatic cancer with niraparib: A phase II study (NIRA-PANC).. Journal of Clinical Oncology. 41(16_suppl). 4156–4156. 2 indexed citations
6.
7.
Hyter, Stephen, et al.. (2022). Prognosis of NF1 Mutations in Acute Myeloid Leukemia. Blood. 140(Supplement 1). 3448–3449. 1 indexed citations
8.
Sharma, Priyanka, Shane R. Stecklein, Bruce F. Kimler, et al.. (2022). Abstract P2-01-05: Impact of post-treatment ctDNA and residual cancer burden (RCB) on outcomes in patients with triple-negative breast cancer (TNBC) and residual disease. Cancer Research. 82(4_Supplement). P2–1. 2 indexed citations
9.
Hyter, Stephen, et al.. (2021). Comparison of flow cytometry and next‐generation sequencing in minimal residual disease monitoring of acute myeloid leukemia: One institute’s practical clinical experience. International Journal of Laboratory Hematology. 44(1). 118–126. 8 indexed citations
10.
Abdelhakim, Haitham, Meizhang Li, Stephen Hyter, et al.. (2020). Adherent cell depletion promotes the expansion of renal cell carcinoma infiltrating T cells with optimal characteristics for adoptive transfer. Journal for ImmunoTherapy of Cancer. 8(2). e000706–e000706. 5 indexed citations
11.
Pathak, Harsh B., Stephen Hyter, Ziyan Y. Pessetto, et al.. (2018). Licofelone Enhances the Efficacy of Paclitaxel in Ovarian Cancer by Reversing Drug Resistance and Tumor Stem-like Properties. Cancer Research. 78(15). 4370–4385. 39 indexed citations
12.
Blidner, Richard, Brian C. Haynes, Stephen Hyter, et al.. (2018). Design, Optimization, and Multisite Evaluation of a Targeted Next-Generation Sequencing Assay System for Chimeric RNAs from Gene Fusions and Exon-Skipping Events in Non–Small Cell Lung Cancer. Journal of Molecular Diagnostics. 21(2). 352–365. 10 indexed citations
13.
Hyter, Stephen, et al.. (2017). Aurora A kinase regulates non-homologous end-joining and poly(ADP-ribose) polymerase function in ovarian carcinoma cells. Oncotarget. 8(31). 50376–50392. 30 indexed citations
14.
Raghavan, Rama, Stephen Hyter, Harsh B. Pathak, et al.. (2016). Drug discovery using clinical outcome-based Connectivity Mapping: application to ovarian cancer. BMC Genomics. 17(1). 811–811. 21 indexed citations
15.
Pessetto, Ziyan Y., Bin Chen, Hani Alturkmani, et al.. (2016). In silico and in vitro drug screening identifies new therapeutic approaches for Ewing sarcoma. Oncotarget. 8(3). 4079–4095. 33 indexed citations
16.
17.
Coleman, Daniel J., Gloria R. Garcia, Stephen Hyter, et al.. (2014). Retinoid-X-Receptors (α/β) in Melanocytes Modulate Innate Immune Responses and Differentially Regulate Cell Survival following UV Irradiation. PLoS Genetics. 10(5). e1004321–e1004321. 13 indexed citations
18.
Hyter, Stephen & Arup K. Indra. (2013). Nuclear hormone receptor functions in keratinocyte and melanocyte homeostasis, epidermal carcinogenesis and melanomagenesis. FEBS Letters. 587(6). 529–541. 17 indexed citations
19.
Hyter, Stephen, Daniel J. Coleman, Gitali Ganguli‐Indra, et al.. (2013). Endothelin‐1 is a transcriptional target of p53 in epidermal keratinocytes and regulates ultraviolet‐induced melanocyte homeostasis. Pigment Cell & Melanoma Research. 26(2). 247–258. 52 indexed citations
20.
Hyter, Stephen, et al.. (2010). Loss of nuclear receptor RXRα in epidermal keratinocytes promotes the formation of Cdk4‐activated invasive melanomas. Pigment Cell & Melanoma Research. 23(5). 635–648. 20 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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