Kenrick Semple
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 10
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- Oncology 6
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Xue‐Zhong Yu (9 shared papers)Claudio Anasetti (7 shared papers)Yu Yu (3 shared papers)Chen Liu (4 shared papers)Dapeng Wang (4 shared papers)Kane Kaosaard (1 shared paper)Honglin Wang (1 shared paper)Mala Chakraborty (3 shared papers)
- Journals
- Blood (5 papers)Hepatology (3 papers)The Journal of Immunology (2 papers)Biology of Blood and Marrow Transplantation (2 papers)American Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kenrick Semple
16 papers receiving 485 citations
Peers
Comparison fields: 5 of 53
- Immunology 294
- Hematology 143
- Pharmacology 82
- Transplantation 13
- Oncology 114
Countries citing papers authored by Kenrick Semple
This map shows the geographic impact of Kenrick Semple'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 Kenrick Semple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenrick Semple more than expected).
Fields of papers citing papers by Kenrick Semple
This network shows the impact of papers produced by Kenrick Semple. 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 Kenrick Semple. The network helps show where Kenrick Semple may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenrick Semple, 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 | 2011 | 130 | |
| 2 | 2011 | 71 | |
| 3 | 2015 | 54 | |
| 4 | 2012 | 48 | |
| 5 | 2011 | 44 | |
| 6 | 2011 | 35 | |
| 7 | 2015 | 26 | |
| 8 | 2019 | 22 | |
| 9 | 2013 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2014 | 14 | |
| 12 | 2019 | 11 | |
| 13 | 2010 | 2 | |
| 14 | 2010 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2006 | 1 |
About Kenrick Semple
Kenrick Semple is a scholar working on Immunology, Oncology, Hematology, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 499 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (294 citations), Hematology (143 citations), Pharmacology (82 citations), Transplantation (13 citations) and Oncology (114 citations). Kenrick Semple has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xue‐Zhong Yu, Claudio Anasetti, Yu Yu, Chen Liu, Dapeng Wang, Kane Kaosaard, Honglin Wang, Mala Chakraborty, Julia D. Berkson and William R. Proctor. Their work appears in journals such as Blood, Hepatology, The Journal of Immunology, Biology of Blood and Marrow Transplantation and American Journal of Clinical Pathology.
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.