Samuel Darko
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Virology top 2%
- HIV Research and Treatment
Papers in
- Immunology 24
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 6
- Virology 11
- HIV Research and Treatment 11
- Co-authors
- Daniel C. Douek (29 shared papers)Jorge R. Almeida (3 shared papers)Eric Tran (1 shared paper)Yong F. Li (1 shared paper)John R. Wunderlich (1 shared paper)Arnold Mixon (1 shared paper)Simon Turcotte (1 shared paper)Mark E. Dudley (1 shared paper)
- Journals
- PLoS Pathogens (3 papers)Journal of Clinical Investigation (3 papers)JCI Insight (2 papers)Frontiers in Immunology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Samuel Darko
34 papers receiving 2.0k citations
Samuel Darko's Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 1.2k
- Virology 216
- Oncology 805
- Neurology 104
- Molecular Biology 372
Countries citing papers authored by Samuel Darko
This map shows the geographic impact of Samuel Darko'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 Darko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Darko more than expected).
Fields of papers citing papers by Samuel Darko
This network shows the impact of papers produced by Samuel Darko. 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 Darko. The network helps show where Samuel Darko may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Darko, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PD-1 identifies the patient-specific CD8+ tumor-reactive repertoire infiltrating human tumors Hit paper breakdown → | 2014 | 783 |
| 2 | 2019 | 141 | |
| 3 | 2014 | 141 | |
| 4 | 2008 | 104 | |
| 5 | 2015 | 94 | |
| 6 | 2010 | 90 | |
| 7 | 2020 | 80 | |
| 8 | 2017 | 69 | |
| 9 | 2014 | 66 | |
| 10 | 2019 | 54 | |
| 11 | 2018 | 50 | |
| 12 | 2014 | 44 | |
| 13 | 2017 | 44 | |
| 14 | 2016 | 31 | |
| 15 | 2019 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2019 | 23 | |
| 18 | 2016 | 23 | |
| 19 | 2021 | 17 | |
| 20 | 2016 | 16 |
About Samuel Darko
Samuel Darko is a scholar working on Immunology, Virology, Infectious Diseases, Molecular Biology and Oncology, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (14 papers), HIV Research and Treatment (11 papers), Immunotherapy and Immune Responses (6 papers), Single-cell and spatial transcriptomics (3 papers), HIV/AIDS Research and Interventions (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (1.2k citations), Virology (216 citations), Oncology (805 citations), Neurology (104 citations) and Molecular Biology (372 citations). Samuel Darko has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Daniel C. Douek, Jorge R. Almeida, Eric Tran, Yong F. Li, John R. Wunderlich, Arnold Mixon, Simon Turcotte, Mark E. Dudley, Xin Yao and Ken‐ichi Hanada. Their work appears in journals such as PLoS Pathogens, Journal of Clinical Investigation, JCI Insight, Frontiers in Immunology and The Journal of Immunology.
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.