Stephen D. Smith

4.9k citations
125 papers · 1.6k · h-index 21

Impact in

Papers in

Stephen D. Smith

113 papers receiving 1.6k citations

Peers

Stephen D. Smith
Comparison fields: 5 of 85
  • Genetics 579
  • Pathology and Forensic Medicine 968
  • Oncology 743
  • Hematology 268
  • Neurology 208
Replace David H. Dreyfus with:
David H. Dreyfus United States
Matthias Karrasch Germany
Catherine Péronne France
Yoshitaka Imaizumi Japan
M. Durm United States
Kisato Nosaka Japan
H. Kaufmann Austria
Erik Svedmyr Sweden
MJ Robertson United States
Hans‐Jürgen Gruss Germany
Stephen D. Smith relative to David H. Dreyfus United States David H. Dreyfus's profile →
Citations per field
00.5×7.2×
David H. Dreyfus · 1×
Citations per year

Countries citing papers authored by Stephen D. Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen D. Smith Line = papers co-authored together Stephen D. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017199
2 2011119
3 1990106
4 202069
5 201867
6 200764
7 202063
8 199347
9 200741
10 201137
11 202133
12 201532
13 198731
14 201328
15 201127
16 201727
17 201827
18 201425
19 201822
20 201922

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.

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