Minghao Chia
Impact in
- Neurology top 5%
- Barrier Structure and Function Studies
- Immunology and Allergy top 10%
Papers in
-
- RNA Research and Splicing 6
- Gut microbiota and health 4
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 3
- Fungal and yeast genetics research 3
-
- Dermatology and Skin Diseases 4
- Co-authors
- María S. Balda (1 shared paper)Neil Dufton (1 shared paper)Martin A. Schwartz (1 shared paper)Daniel E. Conway (1 shared paper)Karl Matter (1 shared paper)Anna M. Randi (1 shared paper)Lourdes Osuna Almagro (1 shared paper)Olga Tornavaca (1 shared paper)
- Journals
- Molecular Cell (2 papers)eLife (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)Nature Cancer (1 paper)
- Partner nations
- United KingdomSingaporeUnited States
In The Last Decade
Minghao Chia
17 papers receiving 854 citations
Minghao Chia's Hit Papers
Peers
Comparison fields: 5 of 97
- Neurology 151
- Immunology and Allergy 49
- Molecular Biology 485
- Cell Biology 114
- Aging 8
Countries citing papers authored by Minghao Chia
This map shows the geographic impact of Minghao Chia'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 Minghao Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghao Chia more than expected).
Fields of papers citing papers by Minghao Chia
This network shows the impact of papers produced by Minghao Chia. 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 Minghao Chia. The network helps show where Minghao Chia may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghao Chia, 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 | ZO-1 controls endothelial adherens junctions, cell–cell tension, angiogenesis, and barrier formation Hit paper breakdown → | 2015 | 448 |
| 2 | 2023 | 91 | |
| 3 | 2017 | 60 | |
| 4 | 2017 | 57 | |
| 5 | 2022 | 36 | |
| 6 | 2018 | 30 | |
| 7 | 2016 | 29 | |
| 8 | 2021 | 28 | |
| 9 | 2021 | 18 | |
| 10 | 2022 | 17 | |
| 11 | Regulation of human eosinophil production and function by interleukin-5. | 1992 | 14 |
| 12 | 2024 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2025 | 4 | |
| 15 | 2025 | 2 | |
| 16 | 2026 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 |
About Minghao Chia
Minghao Chia is a scholar working on Molecular Biology, Dermatology, Cell Biology, Physiology and Ecology, having authored 18 papers that have together received 860 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Dermatology and Skin Diseases (4 papers), Gut microbiota and health (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (3 papers), Fungal and yeast genetics research (3 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Neurology (151 citations), Immunology and Allergy (49 citations), Molecular Biology (485 citations), Cell Biology (114 citations) and Aging (8 citations). Minghao Chia has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include María S. Balda, Neil Dufton, Martin A. Schwartz, Daniel E. Conway, Karl Matter, Anna M. Randi, Lourdes Osuna Almagro, Olga Tornavaca, Folkert J. van Werven and Niranjan Nagarajan. Their work appears in journals such as Molecular Cell, eLife, Nature Communications, Cell Reports and Nature Cancer.
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.