Stephen D. Smith
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 82
- Oncology 60
- CAR-T cell therapy research 26
- Viral-associated cancers and disorders 21
- 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 (54 shared papers)Ariel L. Rivas (9 shared papers)Mazyar Shadman (38 shared papers)Brian G. Till (39 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
113 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 85
- Genetics 579
- Pathology and Forensic Medicine 968
- Oncology 743
- Hematology 268
- Neurology 208
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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 199 | |
| 2 | 2011 | 119 | |
| 3 | 1990 | 106 | |
| 4 | 2020 | 69 | |
| 5 | 2018 | 67 | |
| 6 | 2007 | 64 | |
| 7 | 2020 | 63 | |
| 8 | 1993 | 47 | |
| 9 | 2007 | 41 | |
| 10 | 2011 | 37 | |
| 11 | 2021 | 33 | |
| 12 | 2015 | 32 | |
| 13 | 1987 | 31 | |
| 14 | 2013 | 28 | |
| 15 | 2011 | 27 | |
| 16 | 2017 | 27 | |
| 17 | 2018 | 27 | |
| 18 | 2014 | 25 | |
| 19 | 2018 | 22 | |
| 20 | 2019 | 22 |
About Stephen D. Smith
Stephen D. Smith is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Dermatology and Hematology, having authored 125 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (82 papers), Chronic Lymphocytic Leukemia Research (44 papers), CAR-T cell therapy research (26 papers), Viral-associated cancers and disorders (21 papers), Cutaneous lymphoproliferative disorders research (15 papers), CNS Lymphoma Diagnosis and Treatment (12 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Genetics (579 citations), Pathology and Forensic Medicine (968 citations), Oncology (743 citations), Hematology (268 citations) and Neurology (208 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, Brian J. Bolwell and Graham P. Collins. 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.