Minghao Chia

1.3k total citations · 1 hit paper
16 papers, 810 citations indexed

About

Minghao Chia is a scholar working on Molecular Biology, Dermatology and Cell Biology. According to data from OpenAlex, Minghao Chia has authored 16 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Dermatology and 2 papers in Cell Biology. Recurrent topics in Minghao Chia's work include RNA Research and Splicing (7 papers), RNA modifications and cancer (4 papers) and Gut microbiota and health (4 papers). Minghao Chia is often cited by papers focused on RNA Research and Splicing (7 papers), RNA modifications and cancer (4 papers) and Gut microbiota and health (4 papers). Minghao Chia collaborates with scholars based in United Kingdom, Singapore and United States. Minghao Chia's co-authors include Olga Tornavaca, Daniel E. Conway, María S. Balda, Martin A. Schwartz, Neil Dufton, Lourdes Osuna Almagro, Anna M. Randi, Karl Matter, Folkert J. van Werven and Niranjan Nagarajan and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Nature Biotechnology.

In The Last Decade

Minghao Chia

15 papers receiving 807 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ZO-1 controls endothelial adherens junctions, cell–cell tension, angiogenesis, and barrier formation

2015 432 citations Olga Tornavaca, Minghao Chia et al. The Journal of Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minghao Chia United Kingdom	12	506	150	115	67	65	16	810
Stephen J. Terry United Kingdom	13	498 1.0×	156 1.0×	292 2.5×	57 0.9×	50 0.8×	16	894
Nayden G. Naydenov United States	21	529 1.0×	201 1.3×	275 2.4×	113 1.7×	101 1.6×	39	1.0k
Ewa Wladykowski Germany	14	271 0.5×	209 1.4×	90 0.8×	93 1.4×	70 1.1×	18	841
Ana Carretero Spain	20	403 0.8×	90 0.6×	53 0.5×	47 0.7×	94 1.4×	57	1.0k
David Flores-Benítez Mexico	14	396 0.8×	206 1.4×	164 1.4×	50 0.7×	26 0.4×	16	657
Saima Aijaz United Kingdom	12	538 1.1×	404 2.7×	174 1.5×	55 0.8×	42 0.6×	17	958
Amandine Mathias Switzerland	18	467 0.9×	219 1.5×	68 0.6×	143 2.1×	83 1.3×	27	1.2k
Joanne M. McCormack United States	10	381 0.8×	412 2.7×	92 0.8×	70 1.0×	56 0.9×	11	766
Miguel Ángel García United States	8	193 0.4×	44 0.3×	124 1.1×	46 0.7×	68 1.0×	13	557
Qiaoli Wu China	20	503 1.0×	88 0.6×	87 0.8×	91 1.4×	57 0.9×	54	1.1k

Countries citing papers authored by Minghao Chia

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Minghao Chia

This figure shows the co-authorship network connecting the top 25 collaborators of Minghao Chia. A scholar is included among the top collaborators of Minghao Chia 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 Minghao Chia. Minghao Chia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Chia, Minghao, Mihai Pop, Steven L. Salzberg, & Niranjan Nagarajan. (2025). Challenges and Opportunities in Analyzing Cancer-Associated Microbiomes. Cancer Research. 85(19). 3584–3595. 2 indexed citations

Chia, Minghao, Amanda Hui Qi Ng, Aarthi Ravikrishnan, et al.. (2025). Skin metatranscriptomics reveals a landscape of variation in microbial activity and gene expression across the human body. Nature Biotechnology.

Tham, Elizabeth Huiwen, Minghao Chia, Carmen Riggioni, et al.. (2024). The skin microbiome in pediatric atopic dermatitis and food allergy. Allergy. 79(6). 1470–1484. 11 indexed citations

Tan, Cedric, Karrie Kwan Ki Ko, Hui Chen, et al.. (2023). No evidence for a common blood microbiome based on a population study of 9,770 healthy humans. Nature Microbiology. 8(5). 973–985. 78 indexed citations

Tresenrider, Amy, Minghao Chia, Folkert J. van Werven, & Elçin Ünal. (2022). Long undecoded transcript isoform (LUTI) detection in meiotic budding yeast by direct RNA and transcript leader sequencing. STAR Protocols. 3(1). 101145–101145. 1 indexed citations

Chia, Minghao, Denis Bertrand, Woei‐Yuh Saw, et al.. (2022). Genome-centric analysis of short and long read metagenomes reveals uncharacterized microbiome diversity in Southeast Asians. Nature Communications. 13(1). 6044–6044. 32 indexed citations

Chia, Minghao, Ahmad Nazri Mohamed Naim, Angeline Su Ling Tay, et al.. (2022). Shared signatures and divergence in skin microbiomes of children with atopic dermatitis and their caregivers. Journal of Allergy and Clinical Immunology. 150(4). 894–908. 15 indexed citations

Tresenrider, Amy, Victoria Jorgensen, Minghao Chia, et al.. (2021). Integrated genomic analysis reveals key features of long undecoded transcript isoform-based gene repression. Molecular Cell. 81(10). 2231–2245.e11. 17 indexed citations

Chia, Minghao, Li Cai, Sueli Marques, et al.. (2021). High-resolution analysis of cell-state transitions in yeast suggests widespread transcriptional tuning by alternative starts. Genome biology. 22(1). 34–34. 28 indexed citations

10.

Moretto, Fabien, et al.. (2021). Transcription levels of a noncoding RNA orchestrate opposing regulatory and cell fate outcomes in yeast. Cell Reports. 34(3). 108643–108643. 11 indexed citations

11.

Wu, Andrew, Harshil Patel, Minghao Chia, et al.. (2018). Repression of Divergent Noncoding Transcription by a Sequence-Specific Transcription Factor. Molecular Cell. 72(6). 942–954.e7. 28 indexed citations

12.

Chen, Jingxun, Amy Tresenrider, Minghao Chia, et al.. (2017). Kinetochore inactivation by expression of a repressive mRNA. eLife. 6. 59 indexed citations

13.

Chia, Minghao, Amy Tresenrider, Jingxun Chen, et al.. (2017). Transcription of a 5’ extended mRNA isoform directs dynamic chromatin changes and interference of a downstream promoter. eLife. 6. 56 indexed citations

14.

Chia, Minghao & Folkert J. van Werven. (2016). Temporal Expression of a Master Regulator Drives Synchronous Sporulation in Budding Yeast. G3 Genes Genomes Genetics. 6(11). 3553–3560. 26 indexed citations

15.

Tornavaca, Olga, Minghao Chia, Neil Dufton, et al.. (2015). ZO-1 controls endothelial adherens junctions, cell–cell tension, angiogenesis, and barrier formation. The Journal of Cell Biology. 208(6). 821–838. 432 indexed citations breakdown →

16.

López, Angel F., et al.. (1992). Regulation of human eosinophil production and function by interleukin-5.. PubMed. 57. 549–71. 14 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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