Mariati

487 total citations
9 papers, 372 citations indexed

About

Mariati is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Mariati has authored 9 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Genetics. Recurrent topics in Mariati's work include Viral Infectious Diseases and Gene Expression in Insects (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Virus-based gene therapy research (4 papers). Mariati is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Virus-based gene therapy research (4 papers). Mariati collaborates with scholars based in Singapore, Germany and Indonesia. Mariati's co-authors include Yuansheng Yang, Miranda G.S. Yap, Steven C. L. Ho, Janet Chusainow, Huatao Feng, Zhiwei Song, Muriel Bardor, Yen Wah Tong, Jessna H. M. Yeo and Dong‐Yup Lee and has published in prestigious journals such as Biotechnology and Bioengineering, Journal of Biotechnology and BMC Biotechnology.

In The Last Decade

Mariati

9 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariati Singapore 8 350 165 111 31 26 9 372
Jessna H. M. Yeo Singapore 8 401 1.1× 181 1.1× 116 1.0× 43 1.4× 37 1.4× 9 428
Peter M. O’Callaghan United Kingdom 6 390 1.1× 174 1.1× 108 1.0× 45 1.5× 34 1.3× 8 405
Parisa Asvadi Australia 5 260 0.7× 117 0.7× 94 0.8× 34 1.1× 21 0.8× 8 316
Xiao-Yin Wang China 11 260 0.7× 118 0.7× 27 0.2× 38 1.2× 14 0.5× 25 298
Roland Schucht Germany 7 312 0.9× 192 1.2× 41 0.4× 34 1.1× 12 0.5× 11 327
Gyun Min Lee South Korea 10 328 0.9× 75 0.5× 83 0.7× 18 0.6× 41 1.6× 12 361
Kim Fabiano Marquart Switzerland 10 315 0.9× 95 0.6× 18 0.2× 25 0.8× 9 0.3× 13 336
Chih‐Chung Kuo United States 9 197 0.6× 37 0.2× 40 0.4× 19 0.6× 24 0.9× 11 239
Norbert Auer Austria 7 325 0.9× 132 0.8× 33 0.3× 29 0.9× 25 1.0× 9 337
Anne Kantardjieff United States 8 310 0.9× 104 0.6× 50 0.5× 17 0.5× 31 1.2× 9 329

Countries citing papers authored by Mariati

Since Specialization
Citations

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

Fields of papers citing papers by Mariati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariati

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

All Works

9 of 9 papers shown
1.
Mariati, et al.. (2023). Efektivitas Penggunaan Media Pembelajaran Terhadap Aktivitas Mengajar Guru di Kelas. EDUKASIA Jurnal Pendidikan dan Pembelajaran. 4(1). 205–212. 2 indexed citations
2.
Yeo, Jessna H. M., Mariati, & Yuansheng Yang. (2018). An IRES-Mediated Tricistronic Vector for Efficient Generation of Stable, High-Level Monoclonal Antibody Producing CHO DG44 Cell Lines. Methods in molecular biology. 1827. 335–349. 9 indexed citations
3.
Ho, Steven C. L., et al.. (2016). Evaluating the use of a CpG free promoter for long-term recombinant protein expression stability in Chinese hamster ovary cells. BMC Biotechnology. 16(1). 71–71. 18 indexed citations
4.
5.
Chung, Bevan Kai-Sheng, Faraaz N.K. Yusufi, Mariati, Yuansheng Yang, & Dong‐Yup Lee. (2013). Enhanced expression of codon optimized interferon gamma in CHO cells. Journal of Biotechnology. 167(3). 326–333. 29 indexed citations
6.
Ho, Steven C. L., Muriel Bardor, Huatao Feng, et al.. (2011). IRES-mediated Tricistronic vectors for enhancing generation of high monoclonal antibody expressing CHO cell lines. Journal of Biotechnology. 157(1). 130–139. 117 indexed citations
7.
Yang, Yuansheng, Mariati, Janet Chusainow, & Miranda G.S. Yap. (2010). DNA methylation contributes to loss in productivity of monoclonal antibody-producing CHO cell lines. Journal of Biotechnology. 147(3-4). 180–185. 106 indexed citations
8.
Mariati, Yi Kai Ng, Sheng‐Hao Chao, Miranda G.S. Yap, & Yuansheng Yang. (2010). Evaluating regulatory elements of human cytomegalovirus major immediate early gene for enhancing transgene expression levels in CHO K1 and HEK293 cells. Journal of Biotechnology. 147(3-4). 160–163. 16 indexed citations
9.
Yang, Yuansheng, Mariati, Steven C. L. Ho, & Miranda G.S. Yap. (2008). Mutated polyadenylation signals for controlling expression levels of multiple genes in mammalian cells. Biotechnology and Bioengineering. 102(4). 1152–1160. 24 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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