Mia Yang Ang

525 total citations
25 papers, 327 citations indexed

About

Mia Yang Ang is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Mia Yang Ang has authored 25 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Infectious Diseases and 6 papers in Epidemiology. Recurrent topics in Mia Yang Ang's work include Genomics and Phylogenetic Studies (9 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Mycobacterium research and diagnosis (5 papers). Mia Yang Ang is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Mycobacterium research and diagnosis (5 papers). Mia Yang Ang collaborates with scholars based in Malaysia, United Kingdom and Japan. Mia Yang Ang's co-authors include Rahman Jamal, Hui‐min Neoh, Teck Yew Low, Siok‐Fong Chin, Luqman Mazlan, Nurul‐Syakima Ab Mutalib, Siew Woh Choo, Raja Affendi Raja Ali, Andee Dzulkarnaen Zakaria and Wei Yee Wee and has published in prestigious journals such as PLoS ONE, Scientific Reports and Hypertension.

In The Last Decade

Mia Yang Ang

25 papers receiving 326 citations

Peers

Mia Yang Ang

EPIDE

ONCOL

PHYSI

Anjelica Martin United States

M. Kawamura Japan

Tania Rybkine France

Stefan Weiß Germany

Melissa D. Docampo United States

Neelam Gulati India

Durga Neupane Nepal

Liqun Wang China

Tengguo Li United States

Santosh Dulal United States

Anjelica Martin United States

Mia Yang Ang

216 ×1.0

60 ×1.0

42 ×0.8

EPIDE

39 ×0.9

ONCOL

34 ×1.1

PHYSI

Citations per year, relative to Mia Yang Ang Mia Yang Ang (= 1×) peers Anjelica Martin

Countries citing papers authored by Mia Yang Ang

Since Specialization

Citations

This map shows the geographic impact of Mia Yang Ang'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 Mia Yang Ang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Yang Ang more than expected).

Fields of papers citing papers by Mia Yang Ang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mia Yang Ang. 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 Mia Yang Ang. The network helps show where Mia Yang Ang may publish in the future.

Co-authorship network of co-authors of Mia Yang Ang

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

All Works

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20 of 20 papers shown

Argimón, Silvia, Muttaqillah Najihan Abdul Samat, Toh Leong Tan, et al.. (2024). Desiccation tolerance and reduced antibiotic resistance: Key drivers in ST239-III to ST22-IV MRSA clonal replacement at a Malaysian teaching hospital. International Journal of Medical Microbiology. 317. 151638–151638. 1 indexed citations

Lam, Su Datt, Mia Yang Ang, Emma Griffiths, et al.. (2024). AMRColab – a user-friendly antimicrobial resistance detection and visualization tool. Microbial Genomics. 10(10). 4 indexed citations

Ang, Mia Yang, Fumihiko Takeuchi, & Norihiro Kato. (2023). Deciphering the genetic landscape of obesity: a data-driven approach to identifying plausible causal genes and therapeutic targets. Journal of Human Genetics. 68(12). 823–833. 16 indexed citations

Takeuchi, Fumihiko, Masato Isono, Mia Yang Ang, et al.. (2023). Gene-regulation modules in nonalcoholic fatty liver disease revealed by single-nucleus ATAC-seq. Life Science Alliance. 6(10). e202301988–e202301988. 1 indexed citations

Ang, Mia Yang, Su Datt Lam, Tengku Zetty Maztura Tengku Jamaluddin, et al.. (2022). Draft Genome Sequences of Four Methicillin-Resistant Staphylococcus aureus Strains (M080_2017, M106_2017, M181_2017, and M191_2017), Isolated from a Malaysian Teaching Hospital. Microbiology Resource Announcements. 11(12). e0086722–e0086722. 2 indexed citations

Neoh, Hui‐min, Nurul‐Syakima Ab Mutalib, Siok‐Fong Chin, et al.. (2021). Parvimonas micra, Peptostreptococcus stomatis, Fusobacterium nucleatum and Akkermansia muciniphila as a four-bacteria biomarker panel of colorectal cancer. Scientific Reports. 11(1). 2925–2925. 114 indexed citations

Ang, Mia Yang, et al.. (2019). Proteogenomics: From next-generation sequencing (NGS) and mass spectrometry-based proteomics to precision medicine. Clinica Chimica Acta. 498. 38–46. 43 indexed citations

Choo, Siew Woh, Avirup Dutta, Guat Jah Wong, et al.. (2016). Comparative Genomic Analysis Reveals a Possible Novel Non-Tuberculous Mycobacterium Species with High Pathogenic Potential. PLoS ONE. 11(4). e0150413–e0150413. 7 indexed citations

Ang, Mia Yang, Avirup Dutta, Wei Yee Wee, et al.. (2016). Comparative Genome Analysis ofFusobacterium nucleatum. Genome Biology and Evolution. 8(9). 2928–2938. 22 indexed citations

10.

Heydari, Hamed, Avirup Dutta, Cheuk Chuen Siow, et al.. (2016). NeisseriaBase: a specialisedNeisseriagenomic resource and analysis platform. PeerJ. 4. e1698–e1698. 2 indexed citations

11.

Tan, Shi, Avirup Dutta, Nicholas S. Jakubovics, et al.. (2015). YersiniaBase: a genomic resource and analysis platform for comparative analysis of Yersinia. BMC Bioinformatics. 16(1). 9–9. 10 indexed citations

12.

Siow, Cheuk Chuen, Avirup Dutta, Wei Yee Wee, et al.. (2015). Development of ListeriaBase and comparative analysis of Listeria monocytogenes. BMC Genomics. 16(1). 755–755. 10 indexed citations

13.

Choo, Siew Woh, Mia Yang Ang, Avirup Dutta, et al.. (2015). MycoCAP - Mycobacterium Comparative Analysis Platform. Scientific Reports. 5(1). 18227–18227. 7 indexed citations

14.

Choo, Siew Woh, Hamed Heydari, Tze King Tan, et al.. (2014). VibrioBase: A Model for Next-Generation Genome and Annotation Database Development. The Scientific World JOURNAL. 2014. 1–8. 3 indexed citations

15.

Heydari, Hamed, Cheuk Chuen Siow, Nicholas S. Jakubovics, et al.. (2014). CoryneBase: Corynebacterium Genomic Resources and Analysis Tools at Your Fingertips. PLoS ONE. 9(1). e86318–e86318. 4 indexed citations

16.

Heydari, Hosein, Cheuk Chuen Siow, Wei Yee Wee, et al.. (2014). StaphyloBase: a specialized genomic resource for the staphylococcal research community. Database. 2014(0). bau010–bau010. 2 indexed citations

17.

Ang, Mia Yang, Hosein Heydari, Nicholas S. Jakubovics, et al.. (2014). FusoBase: an online Fusobacterium comparative genomic analysis platform. Database. 2014(0). bau082–bau082. 2 indexed citations

18.

Choo, Siew Woh, Mia Yang Ang, Shi Tan, et al.. (2014). HelicoBase: a Helicobacter genomic resource and analysis platform. BMC Genomics. 15(1). 600–600. 6 indexed citations

19.

Ang, Mia Yang, et al.. (2013). Genome Sequence of Parvimonas micra Strain A293, Isolated from an Abdominal Abscess from a Patient in the United Kingdom. Genome Announcements. 1(6). 6 indexed citations

20.

Wee, Wei Yee, et al.. (2013). First Whole-Genome Sequence of Mycobacterium iranicum, a Newly Reported Mycobacterial Species. Genome Announcements. 1(5). 4 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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