Christopher Parrish
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 24
- Multiple Myeloma Research and Treatments 23
- Oncology 14
- Cancer Treatment and Pharmacology 5
- CAR-T cell therapy research 5
- Co-authors
- Gordon Cook (25 shared papers)Alan Melcher (10 shared papers)Matt Coffey (7 shared papers)Gina B. Scott (9 shared papers)Elizabeth J. Ilett (6 shared papers)Richard G. Vile (5 shared papers)Kevin J. Harrington (5 shared papers)Hardev Pandha (5 shared papers)
- Journals
- Blood (11 papers)Molecular Therapy (4 papers)British Journal of Haematology (2 papers)Leukemia (2 papers)Blood Cancer Journal (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Christopher Parrish
40 papers receiving 712 citations
Peers
Comparison fields: 5 of 73
- Hematology 315
- Oncology 322
- Immunology 170
- Genetics 198
- Biotechnology 46
Countries citing papers authored by Christopher Parrish
This map shows the geographic impact of Christopher Parrish'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 Christopher Parrish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Parrish more than expected).
Fields of papers citing papers by Christopher Parrish
This network shows the impact of papers produced by Christopher Parrish. 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 Christopher Parrish. The network helps show where Christopher Parrish may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Parrish, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 158 | |
| 2 | 2014 | 98 | |
| 3 | 2016 | 96 | |
| 4 | 2012 | 65 | |
| 5 | 2015 | 34 | |
| 6 | 2003 | 29 | |
| 7 | 2009 | 28 | |
| 8 | 2003 | 24 | |
| 9 | 2015 | 22 | |
| 10 | 2012 | 22 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 13 | |
| 13 | 2014 | 11 | |
| 14 | The effects of cytokine gene transfer into tumors on host cell infiltration and regression. | 1996 | 11 |
| 15 | 2022 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2014 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2015 | 6 |
About Christopher Parrish
Christopher Parrish is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Genetics, having authored 43 papers that have together received 725 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (23 papers), Immunotherapy and Immune Responses (9 papers), Virus-based gene therapy research (9 papers), Protein Degradation and Inhibitors (7 papers), Cancer Research and Treatments (6 papers), Cancer Treatment and Pharmacology (5 papers), CAR-T cell therapy research (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (315 citations), Oncology (322 citations), Immunology (170 citations), Genetics (198 citations) and Biotechnology (46 citations). Christopher Parrish has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Gordon Cook, Alan Melcher, Matt Coffey, Gina B. Scott, Elizabeth J. Ilett, Richard G. Vile, Kevin J. Harrington, Hardev Pandha, Jill Thompson and Kevin G. Shim. Their work appears in journals such as Blood, Molecular Therapy, British Journal of Haematology, Leukemia and Blood Cancer Journal.
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.