Danielle Shafer
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Cancer-related Molecular Pathways
- Viral-associated cancers and disorders
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 5
- Oncology 10
- Viral-associated cancers and disorders 3
- Co-authors
- Arushi Khurana (3 shared papers)Steven Grant (4 shared papers)Tahseen Al‐Saleem (4 shared papers)Hong Wu (2 shared papers)Mitchell R. Smith (4 shared papers)Hossein Borghaei (5 shared papers)Kathy S. Albain (1 shared paper)Mary Beth Tombes (6 shared papers)
- Journals
- Blood (7 papers)Cancer Chemotherapy and Pharmacology (2 papers)Journal of the American Academy of Dermatology (1 paper)Journal of Thoracic Oncology (1 paper)Leukemia Research (1 paper)
- Partner nations
- United States
In The Last Decade
Danielle Shafer
30 papers receiving 394 citations
Peers
Comparison fields: 5 of 68
- Hematology 118
- Oncology 151
- Pathology and Forensic Medicine 85
- Genetics 49
- Dermatology 31
Countries citing papers authored by Danielle Shafer
This map shows the geographic impact of Danielle Shafer'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 Danielle Shafer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Shafer more than expected).
Fields of papers citing papers by Danielle Shafer
This network shows the impact of papers produced by Danielle Shafer. 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 Danielle Shafer. The network helps show where Danielle Shafer may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Shafer, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 79 | |
| 2 | 2016 | 59 | |
| 3 | 2013 | 32 | |
| 4 | 2008 | 26 | |
| 5 | 2019 | 25 | |
| 6 | 2008 | 23 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2012 | 14 | |
| 10 | 2023 | 14 | |
| 11 | 2007 | 12 | |
| 12 | 2009 | 12 | |
| 13 | 2011 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2009 | 4 | |
| 20 | 2014 | 3 |
About Danielle Shafer
Danielle Shafer is a scholar working on Hematology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 398 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (8 papers), Histone Deacetylase Inhibitors Research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Protein Degradation and Inhibitors (4 papers), Viral-associated cancers and disorders (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Hematology (118 citations), Oncology (151 citations), Pathology and Forensic Medicine (85 citations), Genetics (49 citations) and Dermatology (31 citations). Danielle Shafer has collaborated with scholars based in United States. Frequent co-authors include Arushi Khurana, Steven Grant, Tahseen Al‐Saleem, Hong Wu, Mitchell R. Smith, Hossein Borghaei, Kathy S. Albain, Mary Beth Tombes, Dipankar Bandyopadhyay and Taha Al‐Juhaishi. Their work appears in journals such as Blood, Cancer Chemotherapy and Pharmacology, Journal of the American Academy of Dermatology, Journal of Thoracic Oncology and Leukemia Research.
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.