Samuel John
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
- Oncology 11
- CAR-T cell therapy research 11
-
- Immune Cell Function and Interaction 7
- Immune cells in cancer 2
- Co-authors
- Cheng Cheng Zhang (6 shared papers)Mi Deng (6 shared papers)Heyu Chen (4 shared papers)Guojin Wu (3 shared papers)Hiep Phan (1 shared paper)Jaehyup Kim (1 shared paper)Xunlei Kang (1 shared paper)Ningyan Zhang (5 shared papers)
- Journals
- Blood (5 papers)Transplantation and Cellular Therapy (2 papers)Nature Communications (1 paper)Molecular Therapy (1 paper)Cancer Immunology Research (1 paper)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Samuel John
21 papers receiving 402 citations
Peers
Comparison fields: 5 of 54
- Immunology 226
- Hematology 69
- Oncology 154
- Genetics 17
- Cancer Research 23
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2018 | 103 | |
| 3 | 2021 | 41 | |
| 4 | 2021 | 40 | |
| 5 | 2020 | 14 | |
| 6 | 2021 | 12 | |
| 7 | 2019 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2020 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 1 |
About Samuel John
Samuel John is a scholar working on Oncology, Immunology, Public Health, Environmental and Occupational Health, Molecular Biology and Physiology, having authored 23 papers that have together received 406 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Biomedical Ethics and Regulation (3 papers), Acute Myeloid Leukemia Research (2 papers), Immune cells in cancer (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Immunology (226 citations), Hematology (69 citations), Oncology (154 citations), Genetics (17 citations) and Cancer Research (23 citations). Samuel John has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Cheng Cheng Zhang, Mi Deng, Heyu Chen, Guojin Wu, Hiep Phan, Jaehyup Kim, Xunlei Kang, Ningyan Zhang, Zhiqiang An and Xun Gui. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Nature Communications, Molecular Therapy and Cancer Immunology 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.