Peter J. Chockley
Impact in
- Immunology top 10%
- 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 3
- Oncology 10
- CAR-T cell therapy research 8
- Cancer Cells and Metastasis 2
- Co-authors
- Venkateshwar G. Keshamouni (3 shared papers)Tomomi Toubai (3 shared papers)Chelsea Malter (3 shared papers)Evelyn C. Nieves (3 shared papers)Yaping Sun (3 shared papers)Stephen M Gottschalk (7 shared papers)Pavan R. Reddy (3 shared papers)Isao Tawara (3 shared papers)
- Journals
- Blood (3 papers)Clinical Cancer Research (3 papers)Nature Genetics (1 paper)Molecular Therapy (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Peter J. Chockley
19 papers receiving 955 citations
Peers
Comparison fields: 5 of 93
- Immunology 451
- Hematology 151
- Oncology 327
- Cancer Research 136
- Structural Biology 13
Countries citing papers authored by Peter J. Chockley
This map shows the geographic impact of Peter J. 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 J. 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 J. Chockley more than expected).
Fields of papers citing papers by Peter J. Chockley
This network shows the impact of papers produced by Peter J. 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 J. Chockley. The network helps show where Peter J. Chockley may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter J. 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 161 | |
| 2 | 2011 | 126 | |
| 3 | 2012 | 121 | |
| 4 | 2018 | 115 | |
| 5 | 2016 | 72 | |
| 6 | 2014 | 66 | |
| 7 | 2022 | 52 | |
| 8 | 2023 | 48 | |
| 9 | 2011 | 34 | |
| 10 | 2016 | 32 | |
| 11 | 2023 | 30 | |
| 12 | 2022 | 29 | |
| 13 | 2024 | 22 | |
| 14 | 2015 | 20 | |
| 15 | 2024 | 20 | |
| 16 | 2021 | 16 | |
| 17 | 2014 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Peter J. Chockley
Peter J. Chockley is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Biophysics, having authored 22 papers that have together received 972 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (8 papers), Immune cells in cancer (3 papers), RNA Interference and Gene Delivery (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cancer Cells and Metastasis (2 papers), Virus-based gene therapy research (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Immunology (451 citations), Hematology (151 citations), Oncology (327 citations), Cancer Research (136 citations) and Structural Biology (13 citations). Peter J. Chockley has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Venkateshwar G. Keshamouni, Tomomi Toubai, Chelsea Malter, Evelyn C. Nieves, Yaping Sun, Stephen M Gottschalk, Pavan R. Reddy, Isao Tawara, Sachin Kumar Singh and Clemens Grabher. Their work appears in journals such as Blood, Clinical Cancer Research, Nature Genetics, Molecular Therapy 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.