Marley Boyd
Impact in
-
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
-
- Lung Cancer Treatments and Mutations 9
- Renal cell carcinoma treatment 3
- Oncology 16
- Cancer Immunotherapy and Biomarkers 7
- CAR-T cell therapy research 4
- Co-authors
- William E. Yarger (2 shared papers)Janet L. Espirito (11 shared papers)C. Lance Cowey (8 shared papers)Jennifer R. Frytak (7 shared papers)Kathleen M. Aguilar (16 shared papers)Eric Nadler (4 shared papers)Nicholas J. Robert (9 shared papers)Ashish M. Kamat (3 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Value in Health (6 papers)Future Oncology (5 papers)Gynecologic Oncology (2 papers)Annals of Oncology (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Marley Boyd
45 papers receiving 410 citations
Peers
Comparison fields: 5 of 51
- Oncology 146
- Nephrology 24
- Pulmonary and Respiratory Medicine 106
- Hepatology 21
- Otorhinolaryngology 9
Countries citing papers authored by Marley Boyd
This map shows the geographic impact of Marley Boyd'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 Marley Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marley Boyd more than expected).
Fields of papers citing papers by Marley Boyd
This network shows the impact of papers produced by Marley Boyd. 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 Marley Boyd. The network helps show where Marley Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Marley Boyd, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 42 | |
| 2 | 2018 | 39 | |
| 3 | 1976 | 37 | |
| 4 | 2019 | 36 | |
| 5 | 1978 | 27 | |
| 6 | 2017 | 25 | |
| 7 | 2019 | 22 | |
| 8 | 2021 | 18 | |
| 9 | The effects of Renografin-60 on the fetal thyroid. | 1973 | 17 |
| 10 | 2021 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2018 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2021 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2020 | 4 |
About Marley Boyd
Marley Boyd is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Epidemiology, having authored 49 papers that have together received 414 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (10 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Multiple and Secondary Primary Cancers (5 papers), Melanoma and MAPK Pathways (5 papers), Urinary and Genital Oncology Studies (5 papers), CAR-T cell therapy research (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Oncology (146 citations), Nephrology (24 citations), Pulmonary and Respiratory Medicine (106 citations), Hepatology (21 citations) and Otorhinolaryngology (9 citations). Marley Boyd has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include William E. Yarger, Janet L. Espirito, C. Lance Cowey, Jennifer R. Frytak, Kathleen M. Aguilar, Eric Nadler, Nicholas J. Robert, Ashish M. Kamat, Frank Xiaoqing Liu and Ancilla W. Fernandes. Their work appears in journals such as Journal of Clinical Oncology, Value in Health, Future Oncology, Gynecologic Oncology and Annals of Oncology.
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.