Kwasi Adu‐Berchie
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- interferon and immune responses
-
- CAR-T cell therapy research
Papers in
- Oncology 10
- CAR-T cell therapy research 8
- Immunology 10
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 3
- Co-authors
- David Mooney (15 shared papers)Yutong Liu (7 shared papers)David Zhang (6 shared papers)Joshua M. Brockman (5 shared papers)Alexander Stafford (5 shared papers)Kyle H. Vining (3 shared papers)Nikolaos Dimitrakakis (2 shared papers)Benjamin R. Freedman (2 shared papers)
- Journals
- Nature Biomedical Engineering (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Blood (1 paper)Journal of Orthopaedic Research® (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Kwasi Adu‐Berchie
19 papers receiving 566 citations
Peers
Comparison fields: 5 of 68
- Immunology 261
- Oncology 216
- Biomaterials 56
- Biomedical Engineering 182
- Molecular Medicine 19
Countries citing papers authored by Kwasi Adu‐Berchie
This map shows the geographic impact of Kwasi Adu‐Berchie'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 Kwasi Adu‐Berchie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwasi Adu‐Berchie more than expected).
Fields of papers citing papers by Kwasi Adu‐Berchie
This network shows the impact of papers produced by Kwasi Adu‐Berchie. 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 Kwasi Adu‐Berchie. The network helps show where Kwasi Adu‐Berchie may publish in the future.
Co-authors
The 25 scholars most cited alongside Kwasi Adu‐Berchie, 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 | 2022 | 109 | |
| 2 | 2020 | 101 | |
| 3 | 2023 | 63 | |
| 4 | 2022 | 55 | |
| 5 | 2023 | 47 | |
| 6 | 2022 | 43 | |
| 7 | 2024 | 38 | |
| 8 | 2023 | 32 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2023 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2025 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2021 | 2 | |
| 19 | 2019 | 1 |
About Kwasi Adu‐Berchie
Kwasi Adu‐Berchie is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Hematology, having authored 19 papers that have together received 572 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (8 papers), RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), T-cell and B-cell Immunology (3 papers), MicroRNA in disease regulation (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (261 citations), Oncology (216 citations), Biomaterials (56 citations), Biomedical Engineering (182 citations) and Molecular Medicine (19 citations). Kwasi Adu‐Berchie has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include David Mooney, Yutong Liu, David Zhang, Joshua M. Brockman, Alexander Stafford, Kyle H. Vining, Nikolaos Dimitrakakis, Benjamin R. Freedman, Kai W. Wucherpfennig and Saemi Han. Their work appears in journals such as Nature Biomedical Engineering, Proceedings of the National Academy of Sciences, Nature Communications, Blood and Journal of Orthopaedic 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.