D. Lynne Smith
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
- CAR-T cell therapy research
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Co-authors
- Parkash S. GillRizwan MasoodTong ZhengJie CaiRoss WilkieDavid R. HintonJohn McBethYathi M. Naidu
- Journals
- Blood (8 papers)International Journal of Cancer (2 papers)Molecular and Cellular Endocrinology (2 papers)Cancer Research (2 papers)Cancer Immunology Immunotherapy (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
D. Lynne Smith
71 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 125
- Oncology 799
- Cancer Research 342
- Molecular Biology 1.0k
- Pathology and Forensic Medicine 270
- Pharmacology 236
Countries citing papers authored by D. Lynne Smith
This map shows the geographic impact of D. Lynne 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 D. Lynne Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Lynne Smith more than expected).
Fields of papers citing papers by D. Lynne Smith
This network shows the impact of papers produced by D. Lynne 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 D. Lynne Smith. The network helps show where D. Lynne Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Lynne 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 14 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 22 | |
| 6 | 2018 | 2 | |
| 7 | 2018 | 91 | |
| 8 | 2017 | 24 | |
| 9 | 2015 | 23 | |
| 10 | 2013 | 65 | |
| 11 | 2011 | 73 | |
| 12 | 2006 | 19 | |
| 13 | 2003 | 113 | |
| 14 | 2002 | 68 | |
| 15 | 2000 | 9 | |
| 16 | 1998 | 15 | |
| 17 | 1995 | 4 | |
| 18 | 1994 | 18 | |
| 19 | 1991 | 5 | |
| 20 | Orally active prostacyclin-mimetic RS-93427: therapeutic potential in vascular occlusive disease associated with atherosclerosis. | 1987 | 5 |
About D. Lynne Smith
D. Lynne Smith is a scholar working on Oncology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Pharmacology, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Viral-associated cancers and disorders (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Angiogenesis and VEGF in Cancer (7 papers), CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers), Musculoskeletal pain and rehabilitation (5 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers). The work is most often cited by research in Oncology (799 citations), Cancer Research (342 citations), Molecular Biology (1.0k citations), Pathology and Forensic Medicine (270 citations) and Pharmacology (236 citations). D. Lynne Smith has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Parkash S. Gill, Rizwan Masood, Tong Zheng, Jie Cai, Ross Wilkie, Jie Cai, David R. Hinton, John McBeth, Yathi M. Naidu and Guangbin Xia. Their work appears in journals such as Blood, International Journal of Cancer, Molecular and Cellular Endocrinology, Cancer Research and Cancer Immunology Immunotherapy.
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.