Daniel Bottomly
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Protein Degradation and Inhibitors 8
- Gene expression and cancer classification 5
- Hematology 28
- Acute Myeloid Leukemia Research 23
- Chronic Myeloid Leukemia Treatments 11
- Co-authors
- Shannon K. McWeeney (56 shared papers)Beth Wilmot (30 shared papers)Jeffrey Tyner (37 shared papers)Robert P. Searles (5 shared papers)Brian Druker (22 shared papers)Gregory S. Yochum (1 shared paper)Robert Hitzemann (5 shared papers)Christopher A. Eide (22 shared papers)
- Journals
- Blood (13 papers)Cancer Research (7 papers)Bioinformatics (3 papers)Leukemia (3 papers)Blood Advances (2 papers)
- Partner nations
- United StatesIndiaThailand
In The Last Decade
Daniel Bottomly
57 papers receiving 1.5k citations
Daniel Bottomly's Hit Papers
Peers
Comparison fields: 5 of 106
- Hematology 523
- Genetics 303
- Molecular Biology 771
- Cancer Research 137
- Genetics 195
Countries citing papers authored by Daniel Bottomly
This map shows the geographic impact of Daniel Bottomly'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 Daniel Bottomly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bottomly more than expected).
Fields of papers citing papers by Daniel Bottomly
This network shows the impact of papers produced by Daniel Bottomly. 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 Daniel Bottomly. The network helps show where Daniel Bottomly may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bottomly, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | OncogenicCSF3RMutations in Chronic Neutrophilic Leukemia and Atypical CML Hit paper breakdown → | 2013 | 360 |
| 2 | 2011 | 159 | |
| 3 | 2010 | 138 | |
| 4 | 2020 | 127 | |
| 5 | 2013 | 99 | |
| 6 | 2012 | 93 | |
| 7 | 2012 | 68 | |
| 8 | 2012 | 63 | |
| 9 | 2022 | 47 | |
| 10 | 2016 | 27 | |
| 11 | 2020 | 27 | |
| 12 | 2018 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2017 | 23 | |
| 16 | 2009 | 20 | |
| 17 | 2018 | 17 | |
| 18 | 2015 | 17 | |
| 19 | 2022 | 15 | |
| 20 | 2011 | 15 |
About Daniel Bottomly
Daniel Bottomly is a scholar working on Molecular Biology, Hematology, Genetics, Genetics and Pulmonary and Respiratory Medicine, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Protein Degradation and Inhibitors (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Hematology (523 citations), Genetics (303 citations), Molecular Biology (771 citations), Cancer Research (137 citations) and Genetics (195 citations). Daniel Bottomly has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include Shannon K. McWeeney, Beth Wilmot, Jeffrey Tyner, Robert P. Searles, Brian Druker, Gregory S. Yochum, Robert Hitzemann, Christopher A. Eide, Sunita Kawane and Priscila Darakjian. Their work appears in journals such as Blood, Cancer Research, Bioinformatics, Leukemia and Blood Advances.
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.