Christopher T. Letson

2.4k total citations
10 papers, 75 citations indexed

About

Christopher T. Letson is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Christopher T. Letson has authored 10 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Christopher T. Letson's work include Acute Myeloid Leukemia Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Single-cell and spatial transcriptomics (2 papers). Christopher T. Letson is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Single-cell and spatial transcriptomics (2 papers). Christopher T. Letson collaborates with scholars based in United States and Germany. Christopher T. Letson's co-authors include Eric Padron, Maria E. Balasis, Aref Al‐Kali, Cameron Durrant, Ayalew Tefferi, Ted Shih, Abhishek A. Mangaonkar, David A. Sallman, Rami S. Komrokji and Naseema Gangat and has published in prestigious journals such as Blood, Leukemia and Pharmacological Research.

In The Last Decade

Christopher T. Letson

10 papers receiving 75 citations

Peers

Christopher T. Letson

HEMAT

GENET

ONCOL

IMMUN

Alexis Vedder United States

Olivia Chandesris France

Virginie Chesnais France

Salah Nabhan United States

Marioara F. Ciuculescu United States

Francesca Guijarro Spain

Nolwenn Lucas France

Danielle Townsley United States

Julia Herzig Germany

Anitria Cotton United States

Alexis Vedder United States

Christopher T. Letson

21 ×0.6

HEMAT

41 ×1.2

17 ×0.7

GENET

12 ×1.1

ONCOL

21 ×2.6

IMMUN

Citations per year, relative to Christopher T. Letson Christopher T. Letson (= 1×) peers Alexis Vedder

Countries citing papers authored by Christopher T. Letson

Since Specialization

Citations

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

Fields of papers citing papers by Christopher T. Letson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher T. Letson

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

All Works

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10 of 10 papers shown

Kong, Tim, Angelo B. A. Laranjeira, Christopher T. Letson, et al.. (2024). RSK1 dependency in FLT3-ITD acute myeloid leukemia. Blood Cancer Journal. 14(1). 207–207. 2 indexed citations

He, Fan, Tim Kong, Daniel A.C. Fisher, et al.. (2024). Monocyte-Driven Aberrant Inflammation in Myeloproliferative Neoplasms Is Regulated By Galectin-1. Blood. 144(Supplement 1). 875–875. 1 indexed citations

Ferrall‐Fairbanks, Meghan C., Brian Johnson, Christopher T. Letson, et al.. (2022). Progenitor Hierarchy of Chronic Myelomonocytic Leukemia Identifies Inflammatory Monocytic-Biased Trajectory Linked to Worse Outcomes. Blood Cancer Discovery. 3(6). 536–553. 9 indexed citations

Balasis, Maria E., Traci Kruer, Lei Sun, et al.. (2022). The Long Non-Coding RNA MALAT1 Is Necessary for Hematopoietic Stem and Progenitor Cell Expansion and Preleukemic Myeloproliferation in TET2 Deficient Myeloid Neoplasms. Blood. 140(Supplement 1). 1991–1993. 1 indexed citations

Patnaik, Mrinal M., David A. Sallman, Abhishek A. Mangaonkar, et al.. (2020). Phase 1 study of lenzilumab, a recombinant anti–human GM-CSF antibody, for chronic myelomonocytic leukemia. Blood. 136(7). 909–913. 31 indexed citations

Letson, Christopher T. & Eric Padron. (2019). Non-canonical transcriptional consequences of BET inhibition in cancer. Pharmacological Research. 150. 104508–104508. 10 indexed citations

Hunter, Anthony M., Christopher T. Letson, Amy E. DeZern, et al.. (2019). Patient Derived Xenografts (PDX) Recapitulate Ruxolitinib Clinical Trial Responses and Identify a Novel Combination Therapy for Chronic Myelomonocytic Leukemia (CMML). Blood. 134(Supplement_1). 2984–2984. 1 indexed citations

Vedder, Alexis, Natalie Ragland, Maria E. Balasis, et al.. (2019). Effects of Corynebacterium bovis on Engraftment of Patient-derived Chronic-Myelomonocytic Leukemia Cells in NSGS Mice. Comparative Medicine. 69(4). 276–282. 11 indexed citations

Ball, Markus, Yonggang Zhao, Maria E. Balasis, et al.. (2017). Intrapatient functional clonality deconvoluted by coupling intracellular flow cytometry and next-generation sequencing in human leukemia. Leukemia. 32(2). 532–538. 1 indexed citations

10.

Kofman, Alexander, Christopher T. Letson, Yongde Bao, et al.. (2013). The p53–microRNA-34a axis regulates cellular entry receptors for tumor-associated human herpes viruses. Medical Hypotheses. 81(1). 62–67. 8 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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