Nathan Standifer
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 10%
- Diabetes and associated disorders
Papers in
- Immunology 16
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 4
- Oncology 13
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 5
- Co-authors
- Gerald T. Nepom (6 shared papers)Paul L. Bollyky (2 shared papers)Rusung Tan (2 shared papers)Constadina Panagiotopoulos (2 shared papers)C. Bruce Verchere (2 shared papers)Qin Ouyang (2 shared papers)Carla J. Greenbaum (4 shared papers)William W. Kwok (2 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Annals of Oncology (4 papers)Clinical Immunology (3 papers)Cytometry Part B Clinical Cytometry (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Nathan Standifer
37 papers receiving 703 citations
Peers
Comparison fields: 5 of 71
- Immunology 318
- Genetics 191
- Oncology 173
- Endocrinology, Diabetes and Metabolism 81
- Immunology and Allergy 20
Countries citing papers authored by Nathan Standifer
This map shows the geographic impact of Nathan Standifer'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 Standifer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Standifer more than expected).
Fields of papers citing papers by Nathan Standifer
This network shows the impact of papers produced by Nathan Standifer. 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 Standifer. The network helps show where Nathan Standifer may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Standifer, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 126 | |
| 2 | 2006 | 89 | |
| 3 | 2010 | 84 | |
| 4 | 2006 | 75 | |
| 5 | 2020 | 45 | |
| 6 | 2015 | 44 | |
| 7 | 2024 | 30 | |
| 8 | 2009 | 27 | |
| 9 | 2022 | 23 | |
| 10 | 2012 | 23 | |
| 11 | 2021 | 20 | |
| 12 | 2010 | 18 | |
| 13 | 2024 | 14 | |
| 14 | 1996 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2010 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2024 | 6 |
About Nathan Standifer
Nathan Standifer is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 37 papers that have together received 731 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (7 papers), Diabetes and associated disorders (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (4 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Immunology (318 citations), Genetics (191 citations), Oncology (173 citations), Endocrinology, Diabetes and Metabolism (81 citations) and Immunology and Allergy (20 citations). Nathan Standifer has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Gerald T. Nepom, Paul L. Bollyky, Rusung Tan, Constadina Panagiotopoulos, C. Bruce Verchere, Qin Ouyang, Carla J. Greenbaum, William W. Kwok, Eddie A. James and Xinhui Ge. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Immunology, Cytometry Part B Clinical Cytometry and Clinical Cancer Research.
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.