Daniel W. Kelly
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
- CAR-T cell therapy research
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 5
- Pancreatic and Hepatic Oncology Research 1
- Inflammatory Biomarkers in Disease Prognosis 1
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- Cancer Genomics and Diagnostics 3
- Co-authors
- İbrahim Halil Şahin (1 shared paper)Eileen Mary O'Reilly (1 shared paper)Alexander I. Geyer (1 shared paper)Kathryn P. Beal (1 shared paper)Bob T. Li (1 shared paper)Nikolaus D. Schultz (1 shared paper)Lee W. Jones (1 shared paper)Molly Maloy (1 shared paper)
- Journals
- Nature Genetics (2 papers)Lung Cancer (1 paper)Nature Communications (1 paper)Nature Biotechnology (1 paper)Clinical Colorectal Cancer (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Daniel W. Kelly
8 papers receiving 793 citations
Daniel W. Kelly's Hit Papers
Peers
Comparison fields: 5 of 59
- Oncology 458
- Cancer Research 124
- Immunology 148
- Pulmonary and Respiratory Medicine 169
- Otorhinolaryngology 15
Countries citing papers authored by Daniel W. Kelly
This map shows the geographic impact of Daniel W. Kelly'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 Daniel W. Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Kelly more than expected).
Fields of papers citing papers by Daniel W. Kelly
This network shows the impact of papers produced by Daniel W. Kelly. 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 Daniel W. Kelly. The network helps show where Daniel W. Kelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Kelly, 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 | Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors Hit paper breakdown → | 2021 | 317 |
| 2 | 2021 | 200 | |
| 3 | 2021 | 177 | |
| 4 | 2022 | 57 | |
| 5 | 2024 | 27 | |
| 6 | 2015 | 12 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 2 |
About Daniel W. Kelly
Daniel W. Kelly is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Molecular Biology, having authored 8 papers that have together received 798 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Immune cells in cancer (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Oncology (458 citations), Cancer Research (124 citations), Immunology (148 citations), Pulmonary and Respiratory Medicine (169 citations) and Otorhinolaryngology (15 citations). Daniel W. Kelly has collaborated with scholars based in United States and Canada. Frequent co-authors include İbrahim Halil Şahin, Eileen Mary O'Reilly, Alexander I. Geyer, Kathryn P. Beal, Bob T. Li, Nikolaus D. Schultz, Lee W. Jones, Molly Maloy, Jessica A. Lavery and Fernanda C. G. Polubriaginof. Their work appears in journals such as Nature Genetics, Lung Cancer, Nature Communications, Nature Biotechnology and Clinical Colorectal Cancer.
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.