Christopher T. Letson
Impact in
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 1
- Genetics 6
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Co-authors
- Eric Padron (6 shared papers)Maria E. Balasis (5 shared papers)David Andrew Sallman (2 shared papers)Rami S. Komrokji (4 shared papers)Traci L. Kruer (3 shared papers)Naseema Gangat (1 shared paper)Aref Al‐Kali (1 shared paper)Robert W. Engelman (1 shared paper)
- Journals
- Blood (5 papers)Clinical Cancer Research (2 papers)Leukemia (2 papers)Nature Communications (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Christopher T. Letson
17 papers receiving 1.9k citations
Christopher T. Letson's Hit Papers
Peers
Comparison fields: 5 of 82
- Neurology 1.1k
- Hematology 146
- Neurology 69
- Genetics 185
- Physiology 146
Countries citing papers authored by Christopher T. Letson
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease Hit paper breakdown → | 2014 | 1552 |
| 2 | 2014 | 86 | |
| 3 | 2017 | 84 | |
| 4 | 2020 | 42 | |
| 5 | 2021 | 24 | |
| 6 | 2018 | 15 | |
| 7 | 2022 | 15 | |
| 8 | 2025 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2017 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2026 | 0 |
About Christopher T. Letson
Christopher T. Letson is a scholar working on Hematology, Genetics, Immunology, Cancer Research and Neurology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Protein Degradation and Inhibitors (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Protein Tyrosine Phosphatases (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Alzheimer's disease research and treatments (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Neurology (1.1k citations), Hematology (146 citations), Neurology (69 citations), Genetics (185 citations) and Physiology (146 citations). Christopher T. Letson has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Eric Padron, Maria E. Balasis, David Andrew Sallman, Rami S. Komrokji, Traci L. Kruer, Naseema Gangat, Aref Al‐Kali, Robert W. Engelman, Moritz Binder and Ted Shih. Their work appears in journals such as Blood, Clinical Cancer Research, Leukemia, Nature Communications and Nature Genetics.
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.