Stephen D. Smith
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 80
- Oncology 55
- CAR-T cell therapy research 23
- Viral-associated cancers and disorders 20
- Cancer Immunotherapy and Biomarkers 7
- Co-authors
- Eric D. Hsi (4 shared papers)Sarah L. Ondrejka (2 shared papers)Raymond Lai (1 shared paper)Ajay K. Gopal (55 shared papers)Ariel L. Rivas (10 shared papers)Mazyar Shadman (39 shared papers)Brian G. Till (40 shared papers)Ryan D. Cassaday (28 shared papers)
- Journals
- Blood (45 papers)Journal of Clinical Oncology (12 papers)British Journal of Haematology (11 papers)Hematological Oncology (5 papers)Blood Advances (4 papers)
- Partner nations
- United StatesSouth AfricaFrance
In The Last Decade
Stephen D. Smith
115 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Pathology and Forensic Medicine 914
- Genetics 506
- Oncology 653
- Hematology 240
- Neurology 180
Countries citing papers authored by Stephen D. Smith
This map shows the geographic impact of Stephen D. Smith'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 Stephen D. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen D. Smith more than expected).
Fields of papers citing papers by Stephen D. Smith
This network shows the impact of papers produced by Stephen D. Smith. 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 Stephen D. Smith. The network helps show where Stephen D. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen D. Smith, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 203 | |
| 2 | 2011 | 120 | |
| 3 | 1990 | 106 | |
| 4 | 2020 | 72 | |
| 5 | 2020 | 69 | |
| 6 | 2018 | 68 | |
| 7 | 2007 | 65 | |
| 8 | 1993 | 47 | |
| 9 | 2007 | 41 | |
| 10 | 2021 | 38 | |
| 11 | 2011 | 37 | |
| 12 | 2015 | 32 | |
| 13 | 1987 | 31 | |
| 14 | 2013 | 28 | |
| 15 | 2018 | 27 | |
| 16 | 2011 | 27 | |
| 17 | 2017 | 27 | |
| 18 | 2014 | 25 | |
| 19 | 2018 | 23 | |
| 20 | 2019 | 23 |
About Stephen D. Smith
Stephen D. Smith is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Dermatology and Hematology, having authored 127 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (80 papers), Chronic Lymphocytic Leukemia Research (42 papers), CAR-T cell therapy research (23 papers), Viral-associated cancers and disorders (20 papers), Cutaneous lymphoproliferative disorders research (14 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (914 citations), Genetics (506 citations), Oncology (653 citations), Hematology (240 citations) and Neurology (180 citations). Stephen D. Smith has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include Eric D. Hsi, Sarah L. Ondrejka, Raymond Lai, Ajay K. Gopal, Ariel L. Rivas, Mazyar Shadman, Brian G. Till, Ryan D. Cassaday, Sven de Vos and Morton Coleman. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Hematological Oncology and Blood Advances.
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.