Charles T. Gregory

426 total citations
8 papers, 22 citations indexed

About

Charles T. Gregory is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Charles T. Gregory has authored 8 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Genetics. Recurrent topics in Charles T. Gregory's work include Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Genomics and Diagnostics (2 papers). Charles T. Gregory is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Genomics and Diagnostics (2 papers). Charles T. Gregory collaborates with scholars based in United States. Charles T. Gregory's co-authors include Shelley Orwick, James S. Blachly, Esko A. Kautto, Rosa Lapalombella, Jennifer A. Woyach, John C. Byrd, Bradley W. Blaser, Caner Saygin, Katie Williams and Apollinaire Ngankeu and has published in prestigious journals such as Blood, Scientific Reports and Leukemia.

In The Last Decade

Charles T. Gregory

8 papers receiving 22 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles T. Gregory United States	4	13	8	6	4	3	8	22
Jens Langstein Germany	3	18 1.4×	7 0.9×	4 0.7×	2 0.5×	2 0.7×	3	21
Chloé Friedrich France	3	16 1.2×	14 1.8×	8 1.3×	2 0.5×	1 0.3×	7	27
Tamara Westover United States	3	11 0.8×	13 1.6×	5 0.8×	5 1.3×	1 0.3×	9	23
Lesedi Williams United Kingdom	3	13 1.0×	12 1.5×	12 2.0×	6 1.5×	8 2.7×	6	39
Federico Itri Italy	2	7 0.5×	9 1.1×	4 0.7×	3 0.8×	1 0.3×	6	17
Hannah Poisner United States	2	5 0.4×	11 1.4×	9 1.5×	3 0.8×		3	18
Mengdie Feng China	4	20 1.5×	14 1.8×	3 0.5×	2 0.5×	1 0.3×	6	28
Kaja Hoyer Denmark	2	7 0.5×	11 1.4×	5 0.8×	2 0.5×	1 0.3×	4	19
Colleen Dansereau United States	2	10 0.8×	7 0.9×	12 2.0×	6 1.5×		3	20
Rebecca Chu United States	2	16 1.2×	10 1.3×	16 2.7×	7 1.8×	1 0.3×	5	29

Countries citing papers authored by Charles T. Gregory

Since Specialization

Citations

This map shows the geographic impact of Charles T. Gregory'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 Charles T. Gregory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles T. Gregory more than expected).

Fields of papers citing papers by Charles T. Gregory

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles T. Gregory. 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 Charles T. Gregory. The network helps show where Charles T. Gregory may publish in the future.

Co-authorship network of co-authors of Charles T. Gregory

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

All Works

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8 of 8 papers shown

1.

Nicolet, Deedra, Daelynn R. Buelow, Shelley Orwick, et al.. (2025). Prognostic, biological, and structural implications of FLT3-JMD point mutations in acute myeloid leukemia: an analysis of Alliance studies. Leukemia. 39(3). 623–631. 1 indexed citations

2.

Beaver, Larry, Katie Williams, Shelley Orwick, et al.. (2021). VIP152 Is a Novel CDK9 Inhibitor with Efficacy in Chronic Lymphocytic Leukemia. Blood. 138(Supplement 1). 270–270. 2 indexed citations

3.

Cannon, Matthew, Hannah Phillips, Katie Williams, et al.. (2020). Large-Scale Drug Screen Identifies FDA-Approved Drugs for Repurposing in Sickle-Cell Disease. Journal of Clinical Medicine. 9(7). 2276–2276. 4 indexed citations

4.

Gregory, Charles T., Apollinaire Ngankeu, Shelley Orwick, et al.. (2020). Characterization and mitigation of fragmentation enzyme-induced dual stranded artifacts. NAR Genomics and Bioinformatics. 2(4). lqaa070–lqaa070. 6 indexed citations

5.

Gregory, Charles T., et al.. (2020). Quantifying Hematopoietic Stem Cell Clonal Diversity by Selecting Informative Amplicon Barcodes. Scientific Reports. 10(1). 2153–2153. 3 indexed citations

6.

Saygin, Caner, Karilyn Larkin, James S. Blachly, et al.. (2020). A phase I study of lenalidomide plus chemotherapy with idarubicin and cytarabine in patients with relapsed or refractory acute myeloid leukemia and high‐risk myelodysplastic syndrome. American Journal of Hematology. 95(12). 1457–1465. 3 indexed citations

7.

Kautto, Esko A., Charles T. Gregory, Caner Saygin, Shelley Orwick, & James S. Blachly. (2019). Rapid Molecular Diagnostics for Acute Myeloid Leukemia Using Single-Molecule Sequencing. Blood. 134(Supplement_1). 374–374. 2 indexed citations

8.

Bhatnagar, Bhavana, Shelley Orwick, Nyla A. Heerema, et al.. (2019). NPM1 mutations Using Deep Amplicon Sequencing and Broad Next Generation Sequencing at the Time of Complete Remission Is Informative to Predicting Risk of Relapse Following Intensive Chemotherapy. Blood. 134(Supplement_1). 1329–1329. 1 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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