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
- Co-authors
- Michael B. Prystowsky (8 shared papers)H. Elizabeth Broome (1 shared paper)Brent L. Wood (8 shared papers)John G. Quigley (1 shared paper)Carl L. Berg (1 shared paper)Zhantao Yang (1 shared paper)John D. Phillips (1 shared paper)Janis L. Abkowitz (1 shared paper)
- Journals
- American Journal of Clinical Pathology (9 papers)Cancer Research (4 papers)Proceedings of the National Academy of Sciences (3 papers)Blood (2 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Daniel E. Sabath
69 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 129
- Genetics 450
- Hematology 417
- Oncology 711
- Immunology 509
- Cancer Research 275
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 364 | |
| 2 | 2004 | 356 | |
| 3 | 2012 | 180 | |
| 4 | 2011 | 140 | |
| 5 | 2015 | 130 | |
| 6 | 2012 | 119 | |
| 7 | 1998 | 107 | |
| 8 | 1986 | 101 | |
| 9 | 2000 | 88 | |
| 10 | 2012 | 86 | |
| 11 | 1985 | 72 | |
| 12 | 2017 | 68 | |
| 13 | 1990 | 67 | |
| 14 | 1987 | 65 | |
| 15 | 2013 | 60 | |
| 16 | 1999 | 48 | |
| 17 | 2002 | 45 | |
| 18 | 2000 | 45 | |
| 19 | 2000 | 43 | |
| 20 | 1986 | 42 |
About Daniel E. Sabath
Daniel E. Sabath is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Hematology, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 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), Acute Myeloid Leukemia Research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Iron Metabolism and Disorders (4 papers). The work is most often cited by research in Genetics (450 citations), Hematology (417 citations), Oncology (711 citations), Immunology (509 citations) and Cancer Research (275 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, John G. Quigley, Carl L. Berg, Zhantao Yang, John D. Phillips, Janis L. Abkowitz, Kathleen M. Sabo and Shigeru Sassa. Their work appears in journals such as American Journal of Clinical Pathology, Cancer Research, Proceedings of the National Academy of Sciences, Blood and The Journal of Infectious Diseases.
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.