Haley E. Ramsey
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
- Hematopoietic Stem Cell Transplantation
- Transplantation top 10%
Papers in
- Hematology 23
- Acute Myeloid Leukemia Research 15
- Platelet Disorders and Treatments 5
- Blood groups and transfusion 4
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- Protein Degradation and Inhibitors 6
- Histone Deacetylase Inhibitors Research 5
- Co-authors
- Michael R. Savona (17 shared papers)Maria P. Arrate (13 shared papers)Agnieszka E. Gorska (11 shared papers)Londa Fuller (7 shared papers)Melissa A. Fischer (6 shared papers)Kelli L. Boyd (3 shared papers)Leah J. Hogdal (2 shared papers)Mei X. Wu (4 shared papers)
- Journals
- Blood (6 papers)Haematologica (3 papers)Gene (2 papers)Targeted Oncology (2 papers)Platelets (2 papers)
- Partner nations
- United StatesAustriaAustralia
In The Last Decade
Haley E. Ramsey
35 papers receiving 792 citations
Peers
Comparison fields: 5 of 81
- Hematology 335
- Transplantation 21
- Genetics 79
- Immunology 149
- Molecular Biology 464
Countries citing papers authored by Haley E. Ramsey
This map shows the geographic impact of Haley E. Ramsey'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 Haley E. Ramsey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haley E. Ramsey more than expected).
Fields of papers citing papers by Haley E. Ramsey
This network shows the impact of papers produced by Haley E. Ramsey. 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 Haley E. Ramsey. The network helps show where Haley E. Ramsey may publish in the future.
Co-authors
The 25 scholars most cited alongside Haley E. Ramsey, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 254 | |
| 2 | 2006 | 66 | |
| 3 | 2014 | 54 | |
| 4 | 2020 | 44 | |
| 5 | 2009 | 39 | |
| 6 | 2011 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 24 | |
| 9 | 2015 | 22 | |
| 10 | 1967 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2016 | 18 | |
| 13 | 2013 | 17 | |
| 14 | 2017 | 17 | |
| 15 | 2014 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2018 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2017 | 12 |
About Haley E. Ramsey
Haley E. Ramsey is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Genetics, having authored 36 papers that have together received 798 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Protein Degradation and Inhibitors (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Platelet Disorders and Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immune Cell Function and Interaction (4 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Hematology (335 citations), Transplantation (21 citations), Genetics (79 citations), Immunology (149 citations) and Molecular Biology (464 citations). Haley E. Ramsey has collaborated with scholars based in United States, Austria and Australia. Frequent co-authors include Michael R. Savona, Maria P. Arrate, Agnieszka E. Gorska, Londa Fuller, Melissa A. Fischer, Kelli L. Boyd, Leah J. Hogdal, Mei X. Wu, Stephen W. Fesik and Stephen A. Strickland. Their work appears in journals such as Blood, Haematologica, Gene, Targeted Oncology and Platelets.
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.