Kina Smith
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
- Immunology 11
- Immunotherapy and Immune Responses 8
- Immune Response and Inflammation 4
- T-cell and B-cell Immunology 4
- Immune cells in cancer 2
- Atherosclerosis and Cardiovascular Diseases 1
- Oncology 10
- CAR-T cell therapy research 5
- Cytokine Signaling Pathways and Interactions 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Ena Wang (12 shared papers)Francesco M. Marincola (12 shared papers)Monica C. Panelli (12 shared papers)Ping Jin (6 shared papers)Dirk Nagorsen (7 shared papers)Vladia Monsurrò (8 shared papers)Christopher Norwood (2 shared papers)Herbert B. Slade (2 shared papers)
- Journals
- Journal of Translational Medicine (3 papers)Genome biology (2 papers)Current Oncology Reports (1 paper)BMC Genomics (1 paper)Expert Opinion on Biological Therapy (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Kina Smith
13 papers receiving 611 citations
Peers
Comparison fields: 5 of 84
- Immunology 359
- Rehabilitation 77
- Oncology 217
- Cancer Research 53
- Molecular Biology 184
Countries citing papers authored by Kina Smith
This map shows the geographic impact of Kina 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 Kina Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kina Smith more than expected).
Fields of papers citing papers by Kina Smith
This network shows the impact of papers produced by Kina 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 Kina Smith. The network helps show where Kina Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Kina 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 | 2007 | 165 | |
| 2 | 2004 | 112 | |
| 3 | 2007 | 79 | |
| 4 | 2004 | 69 | |
| 5 | 2004 | 50 | |
| 6 | 2003 | 41 | |
| 7 | 2004 | 34 | |
| 8 | 2005 | 30 | |
| 9 | 2004 | 19 | |
| 10 | 2005 | 19 | |
| 11 | 2004 | 3 | |
| 12 | 2004 | 3 | |
| 13 | 2004 | 2 |
About Kina Smith
Kina Smith is a scholar working on Immunology, Oncology, Molecular Biology, Rehabilitation and Microbiology, having authored 13 papers that have together received 626 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (5 papers), Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Immune cells in cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Immunology (359 citations), Rehabilitation (77 citations), Oncology (217 citations), Cancer Research (53 citations) and Molecular Biology (184 citations). Kina Smith has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Ena Wang, Francesco M. Marincola, Monica C. Panelli, Ping Jin, Dirk Nagorsen, Vladia Monsurrò, Christopher Norwood, Herbert B. Slade, Mitchell E. Stashower and David F. Stroncek. Their work appears in journals such as Journal of Translational Medicine, Genome biology, Current Oncology Reports, BMC Genomics and Expert Opinion on Biological Therapy.
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.