Michael G. Appiah
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
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- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 6
- Immunology 10
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 3
- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Motomu Shimaoka (14 shared papers)Eun Jeong Park (14 shared papers)Samuel Darkwah (10 shared papers)Eiji Kawamoto (12 shared papers)Phyoe Kyawe Myint (10 shared papers)Arong Gaowa (10 shared papers)Atsushi Ito (6 shared papers)Hiroshi Shiku (1 shared paper)
- Journals
- Viruses (2 papers)Biomedicines (2 papers)Frontiers in Cell and Developmental Biology (2 papers)International Journal of Molecular Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- JapanUnited StatesGhana
In The Last Decade
Michael G. Appiah
17 papers receiving 361 citations
Peers
Comparison fields: 5 of 66
- Immunology and Allergy 44
- Cancer Research 69
- Immunology 88
- Critical Care and Intensive Care Medicine 18
- Molecular Biology 181
Countries citing papers authored by Michael G. Appiah
This map shows the geographic impact of Michael G. Appiah'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 Michael G. Appiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Appiah more than expected).
Fields of papers citing papers by Michael G. Appiah
This network shows the impact of papers produced by Michael G. Appiah. 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 Michael G. Appiah. The network helps show where Michael G. Appiah may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael G. Appiah, 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 | 2020 | 60 | |
| 2 | 2018 | 57 | |
| 3 | 2020 | 43 | |
| 4 | 2021 | 38 | |
| 5 | 2019 | 30 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2026 | 0 |
About Michael G. Appiah
Michael G. Appiah is a scholar working on Molecular Biology, Immunology, Physiology, Immunology and Allergy and Cancer Research, having authored 18 papers that have together received 364 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Immune Cell Function and Interaction (3 papers), Adipose Tissue and Metabolism (3 papers), Cell Adhesion Molecules Research (3 papers), MicroRNA in disease regulation (3 papers), Immune Response and Inflammation (3 papers), Immune cells in cancer (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology and Allergy (44 citations), Cancer Research (69 citations), Immunology (88 citations), Critical Care and Intensive Care Medicine (18 citations) and Molecular Biology (181 citations). Michael G. Appiah has collaborated with scholars based in Japan, United States and Ghana. Frequent co-authors include Motomu Shimaoka, Eun Jeong Park, Samuel Darkwah, Eiji Kawamoto, Phyoe Kyawe Myint, Arong Gaowa, Atsushi Ito, Hiroshi Shiku, Fumiyasu Momose and Shandar Ahmad. Their work appears in journals such as Viruses, Biomedicines, Frontiers in Cell and Developmental Biology, International Journal of Molecular Sciences and Biochemical and Biophysical Research Communications.
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.