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 9
- CAR-T cell therapy research 5
- Peptidase Inhibition and Analysis 2
-
- Lymphoma Diagnosis and Treatment 5
- Co-authors
- Jonathan G. Drachman (7 shared papers)Andres Forero‐Torres (7 shared papers)Ranjana H. Advani (5 shared papers)Richard R. Furman (3 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 StatesSwitzerlandCanada
In The Last Decade
Nancy Whiting
18 papers receiving 708 citations
Peers
Comparison fields: 5 of 57
- Oncology 447
- Immunology 276
- Radiology, Nuclear Medicine and Imaging 223
- Hematology 93
- Pathology and Forensic Medicine 112
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 | 163 | |
| 2 | 2010 | 122 | |
| 3 | 2014 | 110 | |
| 4 | 2014 | 101 | |
| 5 | 2014 | 86 | |
| 6 | 2012 | 38 | |
| 7 | 2009 | 29 | |
| 8 | 2016 | 21 | |
| 9 | 2019 | 13 | |
| 10 | 2011 | 12 | |
| 11 | 2008 | 8 | |
| 12 | 2013 | 7 | |
| 13 | 2009 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2013 | 5 | |
| 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, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 733 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Renal cell carcinoma treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Oncology (447 citations), Immunology (276 citations), Radiology, Nuclear Medicine and Imaging (223 citations), Hematology (93 citations) and Pathology and Forensic Medicine (112 citations). Nancy Whiting has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Jonathan G. Drachman, Andres Forero‐Torres, Ranjana H. Advani, Richard R. Furman, 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.