Colette Chaney
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 14
- CAR-T cell therapy research 14
-
- Hematopoietic Stem Cell Transplantation 5
- Co-authors
- Stanley R. Riddell (14 shared papers)Shelly Heimfeld (11 shared papers)Cameron J. Turtle (11 shared papers)David G. Maloney (10 shared papers)Carolina Berger (8 shared papers)Michael Hudecek (4 shared papers)Laïla‐Aïcha Hanafi (7 shared papers)Brent L. Wood (5 shared papers)
- Journals
- Blood (10 papers)Journal of Clinical Oncology (3 papers)Science Translational Medicine (2 papers)The Journal of Immunology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Colette Chaney
19 papers receiving 1.7k citations
Colette Chaney's Hit Papers
Peers
Comparison fields: 5 of 48
- Oncology 1.3k
- Immunology 672
- Hematology 333
- Genetics 399
- Genetics 67
Countries citing papers authored by Colette Chaney
This map shows the geographic impact of Colette Chaney'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 Colette Chaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colette Chaney more than expected).
Fields of papers citing papers by Colette Chaney
This network shows the impact of papers produced by Colette Chaney. 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 Colette Chaney. The network helps show where Colette Chaney may publish in the future.
Co-authors
The 25 scholars most cited alongside Colette Chaney, 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 | Immunotherapy of non-Hodgkin’s lymphoma with a defined ratio of CD8 + and CD4 + CD19-specific chimeric antigen receptor–modified T cells Hit paper breakdown → | 2016 | 754 |
| 2 | 2013 | 244 | |
| 3 | 2015 | 199 | |
| 4 | 2010 | 160 | |
| 5 | 2010 | 79 | |
| 6 | 2015 | 59 | |
| 7 | 2015 | 43 | |
| 8 | 2018 | 28 | |
| 9 | 2016 | 21 | |
| 10 | 2018 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2015 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2014 | 10 | |
| 15 | 2016 | 8 | |
| 16 | 2005 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2013 | 3 | |
| 19 | 2009 | 1 |
About Colette Chaney
Colette Chaney is a scholar working on Oncology, Hematology, Immunology, Molecular Biology and Electrical and Electronic Engineering, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Hematopoietic Stem Cell Transplantation (5 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Renal and related cancers (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Oncology (1.3k citations), Immunology (672 citations), Hematology (333 citations), Genetics (399 citations) and Genetics (67 citations). Colette Chaney has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Stanley R. Riddell, Shelly Heimfeld, Cameron J. Turtle, David G. Maloney, Carolina Berger, Michael Hudecek, Laïla‐Aïcha Hanafi, Brent L. Wood, Xueyan Chen and Sindhu Cherian. Their work appears in journals such as Blood, Journal of Clinical Oncology, Science Translational Medicine, The Journal of Immunology and 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.