Christopher T. Letson

2.4k citations
10 papers · 75 · h-index 5

Impact in

    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Acute Myeloid Leukemia Research 6
    • Single-cell and spatial transcriptomics 2
    • Cancer-related gene regulation 2
    • Signaling Pathways in Disease 1
    • Protein Degradation and Inhibitors 1

Christopher T. Letson

10 papers receiving 75 citations

Peers

Christopher T. Letson
Comparison fields: 5 of 36
  • Hematology 35
  • Genetics 25
  • Endocrinology 6
  • Molecular Biology 34
  • Dermatology 4
Replace Alexis Vedder with:
Alexis Vedder United States
Olivia Chandesris France
Tiina Kasanen Finland
Anitria Cotton United States
Jarosław Czyż Poland
Asif Alavi United States
Shunsuke Yui Japan
Christopher R. Reilly United States
Marioara F. Ciuculescu United States
Salah Nabhan United States
Christopher T. Letson relative to Alexis Vedder United States Alexis Vedder's profile →
Citations per field
00.5×2.7×
Alexis Vedder · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Christopher T. Letson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher T. Letson Line = papers co-authored together Christopher T. Letson links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202031
2 201911
3 201910
4 20229
5 20138
6 20242
7 20241
8 20171
9 20221
10 20191

About Christopher T. Letson

Christopher T. Letson is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Oncology, having authored 10 papers that have together received 75 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Single-cell and spatial transcriptomics (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer-related gene regulation (2 papers), Signaling Pathways in Disease (1 paper), Protein Degradation and Inhibitors (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Hematology (35 citations), Genetics (25 citations), Endocrinology (6 citations), Molecular Biology (34 citations) and Dermatology (4 citations). Christopher T. Letson has collaborated with scholars based in United States and Germany. Frequent co-authors include Eric Padron, Maria E. Balasis, Aref Al‐Kali, Rami S. Komrokji, David A. Sallman, Abhishek A. Mangaonkar, Ayalew Tefferi, Traci Kruer, Mrinal M. Patnaik and Alexis Vedder. Their work appears in journals such as Blood, Pharmacological Research, Leukemia, Blood Cancer Journal and Comparative Medicine.

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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