Peter Chockley
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 13
- Immune Cell Function and Interaction 9
- Immune cells in cancer 4
- Galectins and Cancer Biology 3
- Oncology 9
- CAR-T cell therapy research 6
- Cancer Cells and Metastasis 3
- Co-authors
- Venkateshwar G. Keshamouni (4 shared papers)Evelyn Nieves (3 shared papers)Isao Tawara (3 shared papers)Clemens Grabher (2 shared papers)Pavan Reddy (3 shared papers)Sachin Kumar Singh (2 shared papers)Tomomi Toubai (3 shared papers)Chelsea Malter (3 shared papers)
- Journals
- Clinical Cancer Research (3 papers)Blood (3 papers)The Journal of Immunology (2 papers)Journal for ImmunoTherapy of Cancer (1 paper)Cytotherapy (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Peter Chockley
18 papers receiving 861 citations
Peers
Comparison fields: 5 of 92
- Immunology 407
- Hematology 136
- Oncology 301
- Cancer Research 131
- Structural Biology 13
Countries citing papers authored by Peter Chockley
This map shows the geographic impact of Peter Chockley'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 Peter Chockley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Chockley more than expected).
Fields of papers citing papers by Peter Chockley
This network shows the impact of papers produced by Peter Chockley. 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 Peter Chockley. The network helps show where Peter Chockley may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Chockley, 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 | 146 | |
| 2 | 2011 | 120 | |
| 3 | 2012 | 119 | |
| 4 | 2018 | 109 | |
| 5 | 2016 | 69 | |
| 6 | 2014 | 63 | |
| 7 | 2023 | 49 | |
| 8 | 2022 | 45 | |
| 9 | 2011 | 32 | |
| 10 | 2016 | 31 | |
| 11 | 2023 | 21 | |
| 12 | 2015 | 20 | |
| 13 | 2024 | 17 | |
| 14 | 2024 | 16 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 3 | |
| 17 | 2018 | 2 | |
| 18 | 2014 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Peter Chockley
Peter Chockley is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Biomedical Engineering, having authored 20 papers that have together received 875 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (6 papers), Immune cells in cancer (4 papers), Galectins and Cancer Biology (3 papers), Cancer Cells and Metastasis (3 papers), Nanowire Synthesis and Applications (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Immunology (407 citations), Hematology (136 citations), Oncology (301 citations), Cancer Research (131 citations) and Structural Biology (13 citations). Peter Chockley has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Venkateshwar G. Keshamouni, Evelyn Nieves, Isao Tawara, Clemens Grabher, Pavan Reddy, Sachin Kumar Singh, Tomomi Toubai, Chelsea Malter, Yaping Sun and Stephen Gottschalk. Their work appears in journals such as Clinical Cancer Research, Blood, The Journal of Immunology, Journal for ImmunoTherapy of Cancer and Cytotherapy.
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.