Samuel John
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Oncology 18
- CAR-T cell therapy research 13
- Cancer Immunotherapy and Biomarkers 5
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- Acute Myeloid Leukemia Research 6
- Co-authors
- Cheng Cheng Zhang (9 shared papers)Mi Deng (7 shared papers)Heyu Chen (6 shared papers)Guojin Wu (3 shared papers)Zhiqiang An (7 shared papers)Jaehyup Kim (2 shared papers)Hiep Phan (1 shared paper)Xunlei Kang (1 shared paper)
- Journals
- Blood (3 papers)Transplantation and Cellular Therapy (3 papers)Blood Advances (3 papers)Cancer Immunology Research (2 papers)American Journal of Hematology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Samuel John
25 papers receiving 1k citations
Samuel John's Hit Papers
Peers
Comparison fields: 5 of 55
- Oncology 388
- Immunology 301
- Hematology 197
- Molecular Biology 148
- Public Health, Environmental and Occupational Health 77
Countries citing papers authored by Samuel John
This map shows the geographic impact of Samuel John'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 Samuel John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel John more than expected).
Fields of papers citing papers by Samuel John
This network shows the impact of papers produced by Samuel John. 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 Samuel John. The network helps show where Samuel John may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel John, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 248 | |
| 2 | 2015 | 168 | |
| 3 | 2018 | 114 | |
| 4 | 2022 | 111 | |
| 5 | Bone-marrow-homing lipid nanoparticles for genome editing in diseased and malignant haematopoietic stem cells Hit paper breakdown → | 2024 | 99 |
| 6 | 2021 | 50 | |
| 7 | 2020 | 48 | |
| 8 | 2021 | 44 | |
| 9 | 2022 | 28 | |
| 10 | 2023 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2025 | 16 | |
| 13 | 2019 | 9 | |
| 14 | 2020 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2022 | 3 |
About Samuel John
Samuel John is a scholar working on Oncology, Hematology, Immunology, Public Health, Environmental and Occupational Health and Genetics, having authored 28 papers that have together received 1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (5 papers), Immune cells in cancer (2 papers), RNA Interference and Gene Delivery (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Oncology (388 citations), Immunology (301 citations), Hematology (197 citations), Molecular Biology (148 citations) and Public Health, Environmental and Occupational Health (77 citations). Samuel John has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Cheng Cheng Zhang, Mi Deng, Heyu Chen, Guojin Wu, Zhiqiang An, Jaehyup Kim, Hiep Phan, Xunlei Kang, Xun Gui and Weina Chen. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Blood Advances, Cancer Immunology Research and American Journal of Hematology.
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.