Jaime M. Reyes
- Hematology top 5%
- Acute Myeloid Leukemia Research 4
- Aging top 10%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 4
- Protein Degradation and Inhibitors 4
- Genomics and Chromatin Dynamics 4
- Single-cell and spatial transcriptomics 3
- Ubiquitin and proteasome pathways 3
-
- Cancer Genomics and Diagnostics 4
-
- Acute Lymphoblastic Leukemia research 5
- Co-authors
- James E. BradnerMargaret A. GoodellChristopher J. OttMatthew A. LawlorMichael A. ErbCharles Y. LinThomas G. ScottMira Jeong
- Cited by
- HematologyAgingMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Genetics (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Jaime M. Reyes
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Hematology 261
- Aging 36
- Molecular Biology 761
- Cancer Research 117
- Genetics 78
Countries citing papers authored by Jaime M. Reyes
This map shows the geographic impact of Jaime M. Reyes'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 Jaime M. Reyes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime M. Reyes more than expected).
Fields of papers citing papers by Jaime M. Reyes
This network shows the impact of papers produced by Jaime M. Reyes. 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 Jaime M. Reyes. The network helps show where Jaime M. Reyes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaime M. Reyes, 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 | 2023 | 54 | |
| 2 | 2022 | 15 | |
| 3 | 2022 | 93 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 2 | |
| 7 | 2018 | 129 | |
| 8 | 2018 | 167 | |
| 9 | 2018 | 42 | |
| 10 | 2018 | 0 | |
| 11 | 2018 | 54 | |
| 12 | 2018 | 1 | |
| 13 | 2018 | 151 | |
| 14 | 2017 | 61 | |
| 15 | 2016 | 86 | |
| 16 | 2016 | 1 | |
| 17 | 2015 | 33 | |
| 18 | 2015 | 113 | |
| 19 | 2015 | 2 | |
| 20 | Quantifying the Role of Coarse Aggregate Strength on Resistance to Load in HMA | 2007 | 6 |
About Jaime M. Reyes
Jaime M. Reyes is a scholar working on Hematology, Cancer Research and Developmental Neuroscience, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (4 papers), Epigenetics and DNA Methylation (4 papers), Protein Degradation and Inhibitors (4 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Hematology (261 citations), Aging (36 citations) and Molecular Biology (761 citations). Jaime M. Reyes has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include James E. Bradner, Margaret A. Goodell, Christopher J. Ott, Matthew A. Lawlor, Michael A. Erb, Charles Y. Lin, Thomas G. Scott, Mira Jeong, Koen M.A. Dreijerink and Myles Brown. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and The Journal of Experimental 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.