Daniel E. Sabath
Impact in
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Hematology top 2%
- Iron Metabolism and Disorders
Papers in
-
- RNA Interference and Gene Delivery 7
- Oncology 17
- Cancer Cells and Metastasis 8
- Viral-associated cancers and disorders 4
- Co-authors
- Michael B. Prystowsky (8 shared papers)H. Elizabeth Broome (1 shared paper)Brent L. Wood (8 shared papers)Karen M. Koehler (8 shared papers)John D. Phillips (1 shared paper)Kathleen M. Sabo (1 shared paper)Mark Worthington (1 shared paper)John G. Quigley (1 shared paper)
- Journals
- American Journal of Clinical Pathology (8 papers)Cancer Research (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Molecular Diagnostics (2 papers)Blood (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Daniel E. Sabath
65 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 127
- Genetics 414
- Hematology 381
- Oncology 687
- Immunology 481
- Cancer Research 268
Countries citing papers authored by Daniel E. Sabath
This map shows the geographic impact of Daniel E. Sabath'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 E. Sabath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Sabath more than expected).
Fields of papers citing papers by Daniel E. Sabath
This network shows the impact of papers produced by Daniel E. Sabath. 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 E. Sabath. The network helps show where Daniel E. Sabath may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Sabath, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 361 | |
| 2 | 2004 | 325 | |
| 3 | 2012 | 178 | |
| 4 | 2011 | 135 | |
| 5 | 2015 | 129 | |
| 6 | 2012 | 116 | |
| 7 | 1998 | 96 | |
| 8 | 1986 | 94 | |
| 9 | 2000 | 88 | |
| 10 | 2012 | 85 | |
| 11 | 1990 | 66 | |
| 12 | 1985 | 65 | |
| 13 | 1987 | 62 | |
| 14 | 2017 | 61 | |
| 15 | 2013 | 58 | |
| 16 | 1999 | 48 | |
| 17 | 2002 | 45 | |
| 18 | 2002 | 41 | |
| 19 | 2000 | 41 | |
| 20 | 1986 | 39 |
About Daniel E. Sabath
Daniel E. Sabath is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Hematology, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Hemoglobinopathies and Related Disorders (9 papers), Cancer Cells and Metastasis (8 papers), RNA Interference and Gene Delivery (7 papers), Cancer Genomics and Diagnostics (5 papers), Iron Metabolism and Disorders (4 papers), Viral-associated cancers and disorders (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (414 citations), Hematology (381 citations), Oncology (687 citations), Immunology (481 citations) and Cancer Research (268 citations). Daniel E. Sabath has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Michael B. Prystowsky, H. Elizabeth Broome, Brent L. Wood, Karen M. Koehler, John D. Phillips, Kathleen M. Sabo, Mark Worthington, John G. Quigley, Janis L. Abkowitz and Shigeru Sassa. Their work appears in journals such as American Journal of Clinical Pathology, Cancer Research, Proceedings of the National Academy of Sciences, Journal of Molecular Diagnostics and Blood.
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.