Nancy Whiting
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- HER2/EGFR in Cancer Research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 10
- CAR-T cell therapy research 6
-
- Lymphoma Diagnosis and Treatment 8
- Co-authors
- Jonathan G. Drachman (7 shared papers)Andres Forero‐Torres (7 shared papers)Richard R. Furman (3 shared papers)Ranjana H. Advani (5 shared papers)Anas Younes (1 shared paper)Hong Ren (1 shared paper)Joseph D. Rosenblatt (1 shared paper)Stephen M. Ansell (7 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Blood (4 papers)Investigational New Drugs (3 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Nancy Whiting
18 papers receiving 665 citations
Peers
Comparison fields: 5 of 56
- Oncology 463
- Immunology 283
- Radiology, Nuclear Medicine and Imaging 230
- Hematology 94
- Genetics 74
Countries citing papers authored by Nancy Whiting
This map shows the geographic impact of Nancy Whiting'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 Nancy Whiting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Whiting more than expected).
Fields of papers citing papers by Nancy Whiting
This network shows the impact of papers produced by Nancy Whiting. 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 Nancy Whiting. The network helps show where Nancy Whiting may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy Whiting, 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 | 2009 | 151 | |
| 2 | 2010 | 112 | |
| 3 | 2014 | 104 | |
| 4 | 2014 | 97 | |
| 5 | 2014 | 77 | |
| 6 | 2012 | 34 | |
| 7 | 2009 | 28 | |
| 8 | 2016 | 21 | |
| 9 | 2019 | 12 | |
| 10 | 2011 | 12 | |
| 11 | 2008 | 8 | |
| 12 | 2013 | 7 | |
| 13 | 2009 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2013 | 4 | |
| 17 | 2009 | 1 | |
| 18 | 2009 | 1 |
About Nancy Whiting
Nancy Whiting is a scholar working on Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology, having authored 18 papers that have together received 683 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Trace Elements in Health (2 papers), Protein Degradation and Inhibitors (2 papers), Cancer Genomics and Diagnostics (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Oncology (463 citations), Immunology (283 citations), Radiology, Nuclear Medicine and Imaging (230 citations), Hematology (94 citations) and Genetics (74 citations). Nancy Whiting has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jonathan G. Drachman, Andres Forero‐Torres, Richard R. Furman, Ranjana H. Advani, Anas Younes, Hong Ren, Joseph D. Rosenblatt, Stephen M. Ansell, Nikhil C. Munshi and Rubén Niesvizky. Their work appears in journals such as Journal of Clinical Oncology, Blood, Investigational New Drugs, Cancer Research and Molecular Cancer Therapeutics.
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.