Zia Fatma

1.0k total citations
20 papers, 644 citations indexed

About

Zia Fatma is a scholar working on Molecular Biology, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Zia Fatma has authored 20 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Biomedical Engineering and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Zia Fatma's work include Microbial Metabolic Engineering and Bioproduction (15 papers), Biofuel production and bioconversion (9 papers) and Enzyme Catalysis and Immobilization (7 papers). Zia Fatma is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (15 papers), Biofuel production and bioconversion (9 papers) and Enzyme Catalysis and Immobilization (7 papers). Zia Fatma collaborates with scholars based in United States, India and China. Zia Fatma's co-authors include Huimin Zhao, Syed Shams Yazdani, Vinh Tran, Kamran Jawed, Anu Jose Mattam, Shih‐I Tan, Aashutosh Girish Boob, Shekhar Mishra, Pu Xue and Hongxiang Li and has published in prestigious journals such as Chemical Reviews, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Zia Fatma

19 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zia Fatma United States 14 542 253 73 46 37 20 644
Suresh Sudarsan Denmark 11 448 0.8× 150 0.6× 38 0.5× 47 1.0× 29 0.8× 18 531
Uldis Kalnenieks Latvia 17 504 0.9× 291 1.2× 47 0.6× 69 1.5× 17 0.5× 43 632
Vasiliy A. Portnoy United States 10 762 1.4× 293 1.2× 50 0.7× 111 2.4× 33 0.9× 10 835
Seiki Takeno Japan 14 573 1.1× 234 0.9× 38 0.5× 71 1.5× 50 1.4× 21 637
Kiira S. Vuoristo Norway 12 378 0.7× 158 0.6× 56 0.8× 16 0.3× 61 1.6× 14 510
Ruben Heck Netherlands 10 380 0.7× 135 0.5× 42 0.6× 89 1.9× 14 0.4× 11 499
Jean-Paul Meijnen Netherlands 8 518 1.0× 213 0.8× 49 0.7× 34 0.7× 47 1.3× 9 575
Kuk-Ki Hong Sweden 7 581 1.1× 274 1.1× 22 0.3× 36 0.8× 58 1.6× 7 641
Marc Carnicer Spain 13 626 1.2× 233 0.9× 29 0.4× 38 0.8× 43 1.2× 15 684
Hua Zhao Singapore 8 656 1.2× 161 0.6× 39 0.5× 90 2.0× 37 1.0× 15 737

Countries citing papers authored by Zia Fatma

Since Specialization
Citations

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

Fields of papers citing papers by Zia Fatma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zia Fatma

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

All Works

20 of 20 papers shown
1.
Martin, Teresa A., et al.. (2026). High yield production of 3-hydroxypropionic acid using Issatchenkia orientalis. Nature Communications. 17(1). 899–899.
2.
Fatma, Zia, Shih‐I Tan, Aashutosh Girish Boob, & Huimin Zhao. (2023). A landing pad system for multicopy gene integration in Issatchenkia orientalis. Metabolic Engineering. 78. 200–208. 12 indexed citations
3.
Dinh, Hoang V., Yihui Shen, Patrick F. Suthers, et al.. (2023). Comparative study of two Saccharomyces cerevisiae strains with kinetic models at genome-scale. Metabolic Engineering. 76. 1–17. 13 indexed citations
4.
Tran, Vinh, Somesh Mishra, Yihui Shen, et al.. (2023). An end-to-end pipeline for succinic acid production at an industrially relevant scale using Issatchenkia orientalis. Nature Communications. 14(1). 6152–6152. 43 indexed citations
5.
Fatma, Zia, Pu Xue, Shekhar Mishra, et al.. (2023). Mass Spectrometry-Based High-Throughput Quantification of Bioproducts in Liquid Culture. Analytical Chemistry. 95(8). 4067–4076. 8 indexed citations
6.
Lee, Ye‐Gi, Chan-Woo Kim, Nam Kyu Kang, et al.. (2022). Cas9-Based Metabolic Engineering of Issatchenkia orientalis for Enhanced Utilization of Cellulosic Hydrolysates. Journal of Agricultural and Food Chemistry. 70(38). 12085–12094. 17 indexed citations
7.
Volk, Michael, Vinh Tran, Shih‐I Tan, et al.. (2022). Metabolic Engineering: Methodologies and Applications. Chemical Reviews. 123(9). 5521–5570. 108 indexed citations
8.
Jain, Surbhi, Meng Zhang, Zia Fatma, et al.. (2021). TALEN outperforms Cas9 in editing heterochromatin target sites. Nature Communications. 12(1). 606–606. 69 indexed citations
9.
Fatma, Zia, et al.. (2020). In vivo Quantification of Alkanes in Escherichia coli. BIO-PROTOCOL. 10(8). e3593–e3593. 2 indexed citations
10.
Suthers, Patrick F., Hoang V. Dinh, Zia Fatma, et al.. (2020). Genome-scale metabolic reconstruction of the non-model yeast Issatchenkia orientalis SD108 and its application to organic acids production. Metabolic Engineering Communications. 11. e00148–e00148. 21 indexed citations
11.
Cao, Mingfeng, Zia Fatma, Xiaofei Song, et al.. (2020). A genetic toolbox for metabolic engineering of Issatchenkia orientalis. Metabolic Engineering. 59. 87–97. 32 indexed citations
12.
Fatma, Zia, et al.. (2020). Recent advances in domesticating non‐model microorganisms. Biotechnology Progress. 36(5). e3008–e3008. 38 indexed citations
13.
Tran, Vinh, Mingfeng Cao, Zia Fatma, Xiaofei Song, & Huimin Zhao. (2019). Development of a CRISPR/Cas9-Based Tool for Gene Deletion in Issatchenkia orientalis. mSphere. 4(3). 33 indexed citations
14.
Gupta, Mayank, Zia Fatma, Rahul Singh, et al.. (2018). A consensus-guided approach yields a heat-stable alkane-producing enzyme and identifies residues promoting thermostability. Journal of Biological Chemistry. 293(24). 9148–9161. 23 indexed citations
15.
Fatma, Zia, Hassan Hartman, Mark G. Poolman, et al.. (2018). Model-assisted metabolic engineering of Escherichia coli for long chain alkane and alcohol production. Metabolic Engineering. 46. 1–12. 66 indexed citations
16.
Fatma, Zia, Kamran Jawed, Anu Jose Mattam, & Syed Shams Yazdani. (2016). Identification of long chain specific aldehyde reductase and its use in enhanced fatty alcohol production in E. coli. Metabolic Engineering. 37. 35–45. 44 indexed citations
17.
Jawed, Kamran, Anu Jose Mattam, Zia Fatma, et al.. (2016). Engineered Production of Short Chain Fatty Acid in Escherichia coli Using Fatty Acid Synthesis Pathway. PLoS ONE. 11(7). e0160035–e0160035. 55 indexed citations
18.
Fatma, Zia, et al.. (2015). Heterogeneity of Alkane Chain Length in Freshwater and Marine Cyanobacteria. Frontiers in Bioengineering and Biotechnology. 3. 34–34. 20 indexed citations
19.
Fatma, Zia, et al.. (2013). The effect of peptide (Asp-Glu) synthetic base on sterilized fermented soymilk on lipid profile of Sprague Dawley rats.. International Food Research Journal. 20(6). 3047–3052. 4 indexed citations
20.
Ahmad, Irshad, Zia Fatma, Syed Shams Yazdani, & Shashi Kumar. (2012). DNA barcode and lipid analysis of new marine algae potential for biofuel. Algal Research. 2(1). 10–15. 36 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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