Daniel Egan
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- CAR-T cell therapy research
Papers in
- Hematology 15
- Chronic Myeloid Leukemia Treatments 8
- Acute Myeloid Leukemia Research 6
- Multiple Myeloma Research and Treatments 2
- Genetics 9
- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Jerald P. Radich (8 shared papers)Lan Beppu (2 shared papers)Jesús G. Berdeja (5 shared papers)Shuo Zheng (1 shared paper)Alessandro Pastore (1 shared paper)William Blum (1 shared paper)James M. Foran (1 shared paper)Allen S. Yang (1 shared paper)
- Journals
- Blood (10 papers)HemaSphere (2 papers)Current Hematologic Malignancy Reports (1 paper)Best Practice & Research Clinical Haematology (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- United StatesSouth AfricaFrance
In The Last Decade
Daniel Egan
22 papers receiving 231 citations
Peers
Comparison fields: 5 of 32
- Hematology 126
- Oncology 124
- Genetics 26
- Immunology 46
- Molecular Biology 72
Countries citing papers authored by Daniel Egan
This map shows the geographic impact of Daniel Egan'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 Egan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Egan more than expected).
Fields of papers citing papers by Daniel Egan
This network shows the impact of papers produced by Daniel Egan. 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 Egan. The network helps show where Daniel Egan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Egan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2023 | 35 | |
| 3 | 2008 | 23 | |
| 4 | 2022 | 22 | |
| 5 | 2016 | 18 | |
| 6 | 2014 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2024 | 11 | |
| 9 | 2016 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2016 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2013 | 1 |
About Daniel Egan
Daniel Egan is a scholar working on Hematology, Genetics, Oncology, Immunology and Rheumatology, having authored 22 papers that have together received 235 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (6 papers), Eosinophilic Disorders and Syndromes (4 papers), CAR-T cell therapy research (4 papers), Acute Lymphoblastic Leukemia research (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (126 citations), Oncology (124 citations), Genetics (26 citations), Immunology (46 citations) and Molecular Biology (72 citations). Daniel Egan has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include Jerald P. Radich, Lan Beppu, Jesús G. Berdeja, Shuo Zheng, Alessandro Pastore, William Blum, James M. Foran, Allen S. Yang, Asad Bashey and Alice S. Mims. Their work appears in journals such as Blood, HemaSphere, Current Hematologic Malignancy Reports, Best Practice & Research Clinical Haematology and American Journal of Hematology.
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.