Michael G. Appiah

465 total citations
18 papers, 349 citations indexed

About

Michael G. Appiah is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Michael G. Appiah has authored 18 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Immunology and 3 papers in Physiology. Recurrent topics in Michael G. Appiah's work include Extracellular vesicles in disease (6 papers), Immune Cell Function and Interaction (3 papers) and MicroRNA in disease regulation (3 papers). Michael G. Appiah is often cited by papers focused on Extracellular vesicles in disease (6 papers), Immune Cell Function and Interaction (3 papers) and MicroRNA in disease regulation (3 papers). Michael G. Appiah collaborates with scholars based in Japan, United States and India. Michael G. Appiah's co-authors include Eiji Kawamoto, Eun Jeong Park, Motomu Shimaoka, Samuel Darkwah, Phyoe Kyawe Myint, Arong Gaowa, Atsushi Ito, Fumiyasu Momose, Hiroshi Shiku and Shandar Ahmad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Michael G. Appiah

17 papers receiving 346 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael G. Appiah Japan 12 187 97 78 46 42 18 349
Phyoe Kyawe Myint Japan 10 118 0.6× 68 0.7× 46 0.6× 36 0.8× 32 0.8× 12 240
Jazalle McClendon United States 9 182 1.0× 180 1.9× 77 1.0× 14 0.3× 46 1.1× 13 539
Katharine M. Lodge United Kingdom 8 107 0.6× 159 1.6× 39 0.5× 20 0.4× 30 0.7× 16 327
Julia B. Kral‐Pointner Austria 11 107 0.6× 168 1.7× 31 0.4× 32 0.7× 44 1.0× 18 419
Ryo Miyata Japan 13 209 1.1× 29 0.3× 79 1.0× 35 0.8× 27 0.6× 51 478
Kishore R. Anekalla United States 10 187 1.0× 147 1.5× 54 0.7× 11 0.2× 47 1.1× 14 433
Shenna Langenbach Australia 13 160 0.9× 104 1.1× 41 0.5× 20 0.4× 39 0.9× 24 435
Ebru Karasu Germany 9 194 1.0× 107 1.1× 34 0.4× 10 0.2× 60 1.4× 12 336
Thalia Romani de Wit Netherlands 7 83 0.4× 173 1.8× 20 0.3× 40 0.9× 58 1.4× 8 446
Thomas Czermak Germany 12 109 0.6× 130 1.3× 36 0.5× 22 0.5× 29 0.7× 18 395

Countries citing papers authored by Michael G. Appiah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael G. Appiah

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Appiah. A scholar is included among the top collaborators of Michael G. Appiah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael G. Appiah. Michael G. Appiah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Liao, Zhicong, Michael G. Appiah, Agata Kurowski, et al.. (2026). Early microglial priming in Alzheimer’s disease revealed by ME-seq. bioRxiv (Cold Spring Harbor Laboratory).
2.
Cheung, Ka Lung, Li Zhao, Rajal Sharma, et al.. (2024). Class IIa HDAC4 and HDAC7 cooperatively regulate gene transcription in Th17 cell differentiation. Proceedings of the National Academy of Sciences. 121(18). e2312111121–e2312111121. 7 indexed citations
3.
Lu, Ran, Shuo Geng, Xiaofeng Liao, et al.. (2023). CX3CR1 modulates SLE-associated glomerulonephritis and cardiovascular disease in MRL/lpr mice. Inflammation Research. 72(5). 1083–1097. 11 indexed citations
4.
Doan, Yen Hai, Francis E. Dennis, Nobuhiro Takemae, et al.. (2023). Emergence of Intergenogroup Reassortant G9P[4] Strains Following Rotavirus Vaccine Introduction in Ghana. Viruses. 15(12). 2453–2453. 7 indexed citations
5.
Darkwah, Samuel, Eun Jeong Park, Phyoe Kyawe Myint, et al.. (2021). Potential Roles of Muscle-Derived Extracellular Vesicles in Remodeling Cellular Microenvironment: Proposed Implications of the Exercise-Induced Myokine, Irisin. Frontiers in Cell and Developmental Biology. 9. 634853–634853. 21 indexed citations
6.
Myint, Phyoe Kyawe, Atsushi Ito, Michael G. Appiah, et al.. (2021). Irisin supports integrin-mediated cell adhesion of lymphocytes. Biochemistry and Biophysics Reports. 26. 100977–100977. 14 indexed citations
7.
Park, Eun Jeong, et al.. (2021). miRNA-200c-3p targets talin-1 to regulate integrin-mediated cell adhesion. Scientific Reports. 11(1). 21597–21597. 11 indexed citations
8.
Park, Eun Jeong, Phyoe Kyawe Myint, Michael G. Appiah, et al.. (2021). Ligand-competent fractalkine receptor is expressed on exosomes. Biochemistry and Biophysics Reports. 26. 100932–100932. 3 indexed citations
9.
Appiah, Michael G., Eun Jeong Park, Yuki Nakamori, et al.. (2021). Cellular and Exosomal Regulations of Sepsis-Induced Metabolic Alterations. International Journal of Molecular Sciences. 22(15). 8295–8295. 13 indexed citations
10.
Kawamoto, Eiji, Takayuki Okamoto, Arong Gaowa, et al.. (2021). The Lectin-Like Domain of Thrombomodulin Inhibits β1 Integrin-Dependent Binding of Human Breast Cancer-Derived Cell Lines to Fibronectin. Biomedicines. 9(2). 162–162. 3 indexed citations
11.
Park, Eun Jeong, Phyoe Kyawe Myint, Michael G. Appiah, et al.. (2021). The Spike Glycoprotein of SARS-CoV-2 Binds to β1 Integrins Expressed on the Surface of Lung Epithelial Cells. Viruses. 13(4). 645–645. 34 indexed citations
12.
Park, Eun Jeong, Phyoe Kyawe Myint, Atsushi Ito, et al.. (2020). Integrin-Ligand Interactions in Inflammation, Cancer, and Metabolic Disease: Insights Into the Multifaceted Roles of an Emerging Ligand Irisin. Frontiers in Cell and Developmental Biology. 8. 588066–588066. 59 indexed citations
13.
Appiah, Michael G., Eun Jeong Park, Samuel Darkwah, et al.. (2020). Intestinal Epithelium-Derived Luminally Released Extracellular Vesicles in Sepsis Exhibit the Ability to Suppress TNF-α and IL-17A Expression in Mucosal Inflammation. International Journal of Molecular Sciences. 21(22). 8445–8445. 42 indexed citations
14.
Park, Eun Jeong, Naoko Satoh‐Takayama, Arong Gaowa, et al.. (2020). Sepsis Induces Deregulation of IL-13 Production and PD-1 Expression in Lung Group 2 Innate Lymphoid Cells. Shock. 55(3). 357–370. 14 indexed citations
15.
Kawamoto, Eiji, Takayuki Okamoto, Arong Gaowa, et al.. (2019). Anti-adhesive effects of human soluble thrombomodulin and its domains. Biochemical and Biophysical Research Communications. 511(2). 312–317. 10 indexed citations
16.
Darkwah, Samuel, Michael G. Appiah, Phyoe Kyawe Myint, et al.. (2019). Differential Roles of Dendritic Cells in Expanding CD4 T Cells in Sepsis. Biomedicines. 7(3). 52–52. 14 indexed citations
17.
Park, Eun Jeong, Michael G. Appiah, Phyoe Kyawe Myint, et al.. (2019). Exosomes in Sepsis and Inflammatory Tissue Injury. Current Pharmaceutical Design. 25(42). 4486–4495. 30 indexed citations
18.
Park, Eun Jeong, Samuel Darkwah, Michael G. Appiah, et al.. (2018). Exosomal regulation of lymphocyte homing to the gut. Blood Advances. 3(1). 1–11. 56 indexed citations

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.

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