Nathan Denlinger
Impact in
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 22
- CAR-T cell therapy research 19
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- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Yiping Yang (3 shared papers)Samantha Jaglowski (12 shared papers)David A. Bond (6 shared papers)Narendranath Epperla (7 shared papers)Basem M. William (4 shared papers)Adam S. Kittai (6 shared papers)Lindsey Fitzgerald (2 shared papers)Agrima Mian (3 shared papers)
- Journals
- Transplantation and Cellular Therapy (6 papers)Blood (6 papers)Journal of Clinical Oncology (4 papers)Blood Advances (2 papers)Biology of Blood and Marrow Transplantation (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Nathan Denlinger
28 papers receiving 333 citations
Peers
Comparison fields: 5 of 51
- Oncology 213
- Immunology 111
- Pathology and Forensic Medicine 55
- Genetics 26
- Hematology 23
Countries citing papers authored by Nathan Denlinger
This map shows the geographic impact of Nathan Denlinger'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 Nathan Denlinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Denlinger more than expected).
Fields of papers citing papers by Nathan Denlinger
This network shows the impact of papers produced by Nathan Denlinger. 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 Nathan Denlinger. The network helps show where Nathan Denlinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Denlinger, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 80 | |
| 2 | 2021 | 62 | |
| 3 | 2020 | 37 | |
| 4 | 2014 | 27 | |
| 5 | 2018 | 19 | |
| 6 | 2020 | 16 | |
| 7 | 2024 | 12 | |
| 8 | 2007 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2021 | 2 |
About Nathan Denlinger
Nathan Denlinger is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Molecular Biology and Hematology, having authored 31 papers that have together received 336 indexed citations. Recurring topics across this work include CAR-T cell therapy research (19 papers), Lymphoma Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Immune Cell Function and Interaction (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). The work is most often cited by research in Oncology (213 citations), Immunology (111 citations), Pathology and Forensic Medicine (55 citations), Genetics (26 citations) and Hematology (23 citations). Nathan Denlinger has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Yiping Yang, Samantha Jaglowski, David A. Bond, Narendranath Epperla, Basem M. William, Adam S. Kittai, Lindsey Fitzgerald, Agrima Mian, Ying Huang and Deborah M. Stephens. Their work appears in journals such as Transplantation and Cellular Therapy, Blood, Journal of Clinical Oncology, Blood Advances and Biology of Blood and Marrow Transplantation.
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.