Kayla McCarty
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
-
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- Pancreatic and Hepatic Oncology Research 2
- Lung Cancer Research Studies 1
- Cancer Cells and Metastasis 1
- Peptidase Inhibition and Analysis 1
- Co-authors
- Kristina H. Young (5 shared papers)Michael J. Gough (5 shared papers)Marka R. Crittenden (5 shared papers)Andrew J. Gunderson (3 shared papers)Tomoko Yamazaki (2 shared papers)Alejandro Alice (2 shared papers)Tiffany C. Blair (1 shared paper)Rehan Ahmad (1 shared paper)
- Journals
- Nature Communications (1 paper)OncoImmunology (1 paper)Journal of Clinical Oncology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIndiaBelgium
In The Last Decade
Kayla McCarty
5 papers receiving 355 citations
Peers
Comparison fields: 5 of 38
- Oncology 251
- Immunology 194
- Cancer Research 39
- Molecular Biology 69
- Pulmonary and Respiratory Medicine 26
Countries citing papers authored by Kayla McCarty
This map shows the geographic impact of Kayla McCarty'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 Kayla McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayla McCarty more than expected).
Fields of papers citing papers by Kayla McCarty
This network shows the impact of papers produced by Kayla McCarty. 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 Kayla McCarty. The network helps show where Kayla McCarty may publish in the future.
Co-authors
The 25 scholars most cited alongside Kayla McCarty, 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 | 2020 | 164 | |
| 2 | 2021 | 134 | |
| 3 | 2019 | 58 | |
| 4 | 2016 | 2 | |
| 5 | 2016 | 1 |
About Kayla McCarty
Kayla McCarty is a scholar working on Oncology, Molecular Biology, Biotechnology, Immunology and Cancer Research, having authored 5 papers that have together received 359 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer Research and Treatments (1 paper), Lung Cancer Research Studies (1 paper), Immunotherapy and Immune Responses (1 paper), Cancer Cells and Metastasis (1 paper), T-cell and B-cell Immunology (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Oncology (251 citations), Immunology (194 citations), Cancer Research (39 citations), Molecular Biology (69 citations) and Pulmonary and Respiratory Medicine (26 citations). Kayla McCarty has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Kristina H. Young, Michael J. Gough, Marka R. Crittenden, Andrew J. Gunderson, Tomoko Yamazaki, Alejandro Alice, Tiffany C. Blair, Rehan Ahmad, Amanda V. Hayman and Todd S. Crocenzi. Their work appears in journals such as Nature Communications, OncoImmunology, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and PLoS ONE.
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.