Chris Twitty
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 13
- Immunotherapy and Immune Responses 9
- Immune Cell Function and Interaction 4
- Toxin Mechanisms and Immunotoxins 3
- T-cell and B-cell Immunology 2
- Oncology 9
- CAR-T cell therapy research 7
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Bernard A. Fox (8 shared papers)Hong‐Ming Hu (6 shared papers)Shawn M. Jensen (5 shared papers)Walter J. Urba (4 shared papers)Adil Daud (7 shared papers)Yuhuan Li (3 shared papers)Mai H. Le (5 shared papers)Robert H. Pierce (5 shared papers)
- Journals
- Clinical Cancer Research (2 papers)The Journal of Immunology (2 papers)Cancer Research (2 papers)The Journal of Gene Medicine (1 paper)Molecular Therapy — Oncolytics (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Chris Twitty
18 papers receiving 667 citations
Peers
Comparison fields: 5 of 61
- Immunology 351
- Oncology 303
- Biotechnology 78
- Genetics 128
- Physiology 20
Countries citing papers authored by Chris Twitty
This map shows the geographic impact of Chris Twitty'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 Chris Twitty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Twitty more than expected).
Fields of papers citing papers by Chris Twitty
This network shows the impact of papers produced by Chris Twitty. 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 Chris Twitty. The network helps show where Chris Twitty may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Twitty, 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 | 2010 | 114 | |
| 2 | 2011 | 81 | |
| 3 | 2019 | 75 | |
| 4 | 2019 | 73 | |
| 5 | 2004 | 57 | |
| 6 | 2009 | 54 | |
| 7 | 2012 | 50 | |
| 8 | 2017 | 44 | |
| 9 | 2009 | 29 | |
| 10 | 2015 | 29 | |
| 11 | 2012 | 26 | |
| 12 | 2016 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2011 | 10 | |
| 16 | 2016 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2023 | 1 |
About Chris Twitty
Chris Twitty is a scholar working on Immunology, Oncology, Molecular Biology, Biotechnology and Epidemiology, having authored 18 papers that have together received 690 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (7 papers), Microbial Inactivation Methods (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), T-cell and B-cell Immunology (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Immunology (351 citations), Oncology (303 citations), Biotechnology (78 citations), Genetics (128 citations) and Physiology (20 citations). Chris Twitty has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Bernard A. Fox, Hong‐Ming Hu, Shawn M. Jensen, Walter J. Urba, Adil Daud, Yuhuan Li, Mai H. Le, Robert H. Pierce, Sandra Aung and Alain P. Algazi. Their work appears in journals such as Clinical Cancer Research, The Journal of Immunology, Cancer Research, The Journal of Gene Medicine and Molecular Therapy — Oncolytics.
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.