Sioḃán Keel
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Blood disorders and treatments
Papers in
- Hematology 26
- Acute Myeloid Leukemia Research 16
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- Porphyrin Metabolism and Disorders 10
- RNA modifications and cancer 5
- Co-authors
- Janis L. Abkowitz (18 shared papers)Raymond T. Doty (5 shared papers)Akiko Shimamura (8 shared papers)Zhantao Yang (4 shared papers)Jerry Kaplan (1 shared paper)Jing Chen (1 shared paper)Paul D. Kingsley (1 shared paper)Ivana De Domenico (1 shared paper)
- Journals
- Blood (13 papers)Blood Advances (4 papers)Transfusion (3 papers)Experimental Hematology (3 papers)Haematologica (2 papers)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Sioḃán Keel
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Hematology 596
- Genetics 358
- Aging 21
- Physiology 277
- Molecular Biology 558
Countries citing papers authored by Sioḃán Keel
This map shows the geographic impact of Sioḃán Keel'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 Sioḃán Keel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sioḃán Keel more than expected).
Fields of papers citing papers by Sioḃán Keel
This network shows the impact of papers produced by Sioḃán Keel. 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 Sioḃán Keel. The network helps show where Sioḃán Keel may publish in the future.
Co-authors
The 25 scholars most cited alongside Sioḃán Keel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 286 | |
| 2 | 2016 | 119 | |
| 3 | 2016 | 107 | |
| 4 | 2017 | 92 | |
| 5 | 2014 | 74 | |
| 6 | 2020 | 59 | |
| 7 | 2016 | 59 | |
| 8 | 2015 | 49 | |
| 9 | 2019 | 41 | |
| 10 | 2018 | 37 | |
| 11 | 2009 | 34 | |
| 12 | 2016 | 32 | |
| 13 | 2021 | 32 | |
| 14 | 2022 | 25 | |
| 15 | 2018 | 23 | |
| 16 | 2015 | 22 | |
| 17 | 2015 | 21 | |
| 18 | 2013 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2011 | 16 |
About Sioḃán Keel
Sioḃán Keel is a scholar working on Hematology, Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health and Physiology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Neonatal Health and Biochemistry (11 papers), Hemoglobinopathies and Related Disorders (11 papers), Porphyrin Metabolism and Disorders (10 papers), Erythrocyte Function and Pathophysiology (7 papers), Acute Lymphoblastic Leukemia research (7 papers), Blood disorders and treatments (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Hematology (596 citations), Genetics (358 citations), Aging (21 citations), Physiology (277 citations) and Molecular Biology (558 citations). Sioḃán Keel has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Janis L. Abkowitz, Raymond T. Doty, Akiko Shimamura, Zhantao Yang, Jerry Kaplan, Jing Chen, Paul D. Kingsley, Ivana De Domenico, Michael B. Vaughn and John G. Quigley. Their work appears in journals such as Blood, Blood Advances, Transfusion, Experimental Hematology and Haematologica.
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.