Daniel E. Sabath

71 papers receiving 2.8k citations

Peers

Daniel E. Sabath
Comparison fields: 5 of 102
  • Genetics 307
  • Hematology 298
  • Oncology 480
  • Immunology 388
  • Cancer Research 174
Replace Toshio Heike with:
Toshio Heike Japan
Idit Shachar Israel
Toshio Heike Japan
Agnieszka P. Looney United States
Lucrezia Colonna United States
Marco Forni Italy
Tracy S P Heng Australia
Austin Hsu United States
Alberto L. Horenstein Italy
Heribert Bohlen Germany
Daniel E. Sabath relative to Toshio Heike Japan Toshio Heike's profile →
Citations per field
00.5×1.7×
Toshio Heike · 1×
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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004368
2 1990358
3 2012198
4 2011149
5 2015139
6 2012131
7 1998110
8 2012105
9 1986100
10 200090
11 198571
12 201766
13 199064
14 198761
15 201360
16 199948
17 200248
18 200046
19 200043
20 200243

About Daniel E. Sabath

Daniel E. Sabath is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Immunology, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (11 papers), T-cell and B-cell Immunology (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Clinical Laboratory Practices and Quality Control (5 papers), Acute Myeloid Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Viral-associated cancers and disorders (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Genetics (307 citations), Hematology (298 citations), Oncology (480 citations), Immunology (388 citations) and Cancer Research (174 citations). Daniel E. Sabath has collaborated with scholars based in United States, Sri Lanka and Australia. Frequent co-authors include Michael B. Prystowsky, H. Elizabeth Broome, Brent Lee Wood, John G. Quigley, Mark Worthington, Harvey A. Greisman, Zhantao Yang, John D. Phillips, Kathleen M. Sabo and Janis L. Abkowitz. Their work appears in journals such as American Journal of Clinical Pathology, Journal of Molecular Diagnostics, Proceedings of the National Academy of Sciences, Blood and Clinical Neuropathology.

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.

Explore authors with similar magnitude of impact