Daniel Bottomly
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 34
- Acute Myeloid Leukemia Research 28
- Chronic Myeloid Leukemia Treatments 13
- Genetics 17
- Chronic Lymphocytic Leukemia Research 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Genetic Mapping and Diversity in Plants and Animals 6
- Co-authors
- McWeeney Shannon (52 shared papers)Beth Wilmot (28 shared papers)Jeffrey Tyner (30 shared papers)Robert P. Searles (5 shared papers)Brian J. Druker (22 shared papers)Christopher A. Eide (16 shared papers)ROBERT J. HITZEMANN (5 shared papers)Gregory S. Yochum (1 shared paper)
- Journals
- Blood (14 papers)Cancer Research (4 papers)Bioinformatics (3 papers)Leukemia (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Daniel Bottomly
64 papers receiving 3.6k citations
Daniel Bottomly's Hit Papers
Peers
Comparison fields: 5 of 114
- Hematology 1.8k
- Genetics 674
- Cancer Research 445
- Molecular Biology 1.8k
- Immunology 369
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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Functional genomic landscape of acute myeloid leukaemia Hit paper breakdown → | 2018 | 997 |
| 2 | OncogenicCSF3RMutations in Chronic Neutrophilic Leukemia and Atypical CML Hit paper breakdown → | 2013 | 451 |
| 3 | Integrative analysis of drug response and clinical outcome in acute myeloid leukemia Hit paper breakdown → | 2022 | 251 |
| 4 | 2011 | 176 | |
| 5 | 2020 | 163 | |
| 6 | 2013 | 159 | |
| 7 | 2010 | 142 | |
| 8 | 2019 | 127 | |
| 9 | 2021 | 112 | |
| 10 | 2013 | 109 | |
| 11 | 2012 | 101 | |
| 12 | 2021 | 72 | |
| 13 | 2012 | 71 | |
| 14 | 2022 | 68 | |
| 15 | 2012 | 67 | |
| 16 | 2019 | 65 | |
| 17 | 2020 | 33 | |
| 18 | 2016 | 30 | |
| 19 | 2020 | 27 | |
| 20 | 2021 | 27 |
About Daniel Bottomly
Daniel Bottomly is a scholar working on Hematology, Genetics, Molecular Biology, Cancer Research and Genetics, having authored 66 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (28 papers), Chronic Myeloid Leukemia Treatments (13 papers), Protein Degradation and Inhibitors (10 papers), Chronic Lymphocytic Leukemia Research (10 papers), Cancer Genomics and Diagnostics (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (674 citations), Cancer Research (445 citations), Molecular Biology (1.8k citations) and Immunology (369 citations). Daniel Bottomly has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include McWeeney Shannon, Beth Wilmot, Jeffrey Tyner, Robert P. Searles, Brian J. Druker, Christopher A. Eide, ROBERT J. HITZEMANN, Gregory S. Yochum, Sunita Kawane and Cristina E. Tognon. Their work appears in journals such as Blood, Cancer Research, Bioinformatics, Leukemia and British Journal of Haematology.
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.