Daniel E. Sabath

3.4k citations
66 papers · 2.7k indexed · h-index 24

Impact in

  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 2%
    • Iron Metabolism and Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 7
    • Chronic Lymphocytic Leukemia Research 4
    • Iron Metabolism and Disorders 4

Daniel E. Sabath

64 papers receiving 2.6k citations

Peers

Daniel E. Sabath
Comparison fields: 5 of 133
  • Genetics 433
  • Hematology 445
  • Oncology 749
  • Immunology 543
  • Cancer Research 295
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Stephanie Halene United States
Carmen Tam‐Amersdorfer Austria
Susanne Heck United States
Noriko Okada Japan
Wenfeng Xu China
Gianfranco Bazzoni Italy
Paul Coughlin Australia
Kris A. Reedquist Netherlands
Denis Puthier France
Francis Lacombe France
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Citations per field
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Citations per year

Countries citing papers authored by Daniel E. Sabath

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel E. Sabath Line = papers co-authored together Daniel E. Sabath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990359
2 2004323
3 2012176
4 2011133
5 2015129
6 2012115
7 199896
8 198694
9 200088
10 201284
11 199066
12 198565
13 198762
14 201761
15 201357
16 199948
17 200245
18 200041
19 200241
20 198639

About Daniel E. Sabath

Daniel E. Sabath is a scholar working on Genetics, Hematology, Internal Medicine, Pathology and Forensic Medicine and Oncology, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (12 papers), Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (7 papers), RNA Interference and Gene Delivery (7 papers), Hemoglobinopathies and Related Disorders (7 papers), Atrial Fibrillation Management and Outcomes (5 papers), Iron Metabolism and Disorders (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Genetics (433 citations), Hematology (445 citations), Oncology (749 citations), Immunology (543 citations) and Cancer Research (295 citations). Daniel E. Sabath has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Michael B. Prystowsky, H. Elizabeth Broome, Brent L. Wood, Karen M. Koehler, Janis L. Abkowitz, Kathleen M. Sabo, Mark Worthington, Shigeru Sassa, Carl L. Berg and John G. Quigley. 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.

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