Xiaoxia Nina Lin

2.3k total citations
35 papers, 1.7k citations indexed

About

Xiaoxia Nina Lin is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Xiaoxia Nina Lin has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Biomedical Engineering and 9 papers in Genetics. Recurrent topics in Xiaoxia Nina Lin's work include Microbial Metabolic Engineering and Bioproduction (15 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Gene Regulatory Network Analysis (5 papers). Xiaoxia Nina Lin is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (15 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Gene Regulatory Network Analysis (5 papers). Xiaoxia Nina Lin collaborates with scholars based in United States, China and Bulgaria. Xiaoxia Nina Lin's co-authors include Phillip E. Savage, Peter Valdez, Michael C. Nelson, Henry Y. Wang, Scott A. Scholz, Jeremy J. Minty, Alissa Kerner, Jihyang Park, Chang Hoon Bae and James C. Liao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Xiaoxia Nina Lin

33 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoxia Nina Lin United States 20 970 861 201 199 175 35 1.7k
Juan Nogales Spain 23 1.5k 1.5× 617 0.7× 276 1.4× 256 1.3× 247 1.4× 54 2.1k
Yanping Zhang China 31 1.9k 2.0× 961 1.1× 207 1.0× 470 2.4× 124 0.7× 111 2.6k
Peter I. Benke United States 20 823 0.8× 607 0.7× 145 0.7× 48 0.2× 105 0.6× 32 1.4k
Qiu Cui China 28 1.4k 1.4× 1.1k 1.2× 105 0.5× 602 3.0× 132 0.8× 119 2.7k
Sophie Roelants Belgium 27 957 1.0× 358 0.4× 53 0.3× 86 0.4× 94 0.5× 73 2.0k
Yujin Cao China 26 1.2k 1.2× 637 0.7× 96 0.5× 189 0.9× 44 0.3× 62 2.0k
Guang Zhao China 31 1.9k 1.9× 768 0.9× 257 1.3× 111 0.6× 295 1.7× 76 2.6k
John M. Gladden United States 32 1.6k 1.7× 2.0k 2.3× 99 0.5× 83 0.4× 109 0.6× 91 3.1k
Tohoru Katsuragi Japan 20 636 0.7× 379 0.4× 157 0.8× 63 0.3× 158 0.9× 74 1.3k
Stephen B. del Cardayré United States 9 3.0k 3.1× 1.6k 1.8× 215 1.1× 422 2.1× 123 0.7× 11 3.6k

Countries citing papers authored by Xiaoxia Nina Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxia Nina Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxia Nina Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Nina Lin. A scholar is included among the top collaborators of Xiaoxia Nina Lin 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 Xiaoxia Nina Lin. Xiaoxia Nina Lin 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.
2.
Lin, Xiaoxia Nina, et al.. (2024). The first mitogenome of the genus Amphalius (Siphonaptera: Ceratophyllidae) and its phylogenetic implications. Parasitology. 151(10). 1085–1095.
3.
Lin, Xiaoxia Nina, et al.. (2024). The first mitogenome of the subfamily Stenoponiinae (Siphonaptera: Ctenophthalmidae) and implications for its phylogenetic position. Scientific Reports. 14(1). 18179–18179. 2 indexed citations
4.
Tan, James, et al.. (2022). The effect of droplet size on syntrophic dynamics in droplet-enabled microbial co-cultivation. PLoS ONE. 17(3). e0266282–e0266282. 7 indexed citations
5.
Chung, Meng Ting, et al.. (2021). Optimized gene expression from bacterial chromosome by high-throughput integration and screening. Science Advances. 7(7). 59 indexed citations
6.
Smith, Derek J., et al.. (2021). Individual Microcystis colonies harbour distinct bacterial communities that differ by Microcystis oligotype and with time. Environmental Microbiology. 23(6). 3020–3036. 47 indexed citations
7.
Tan, James, Sida Wang, Gregory J. Dick, et al.. (2020). Co-cultivation of microbial sub-communities in microfluidic droplets facilitates high-resolution genomic dissection of microbial ‘dark matter’. Integrative Biology. 12(11). 263–274. 21 indexed citations
8.
Scholz, Scott A., et al.. (2019). High-Resolution Mapping of the Escherichia coli Chromosome Reveals Positions of High and Low Transcription. Cell Systems. 8(3). 212–225.e9. 72 indexed citations
9.
Byun, Chang Kyu, et al.. (2017). Demonstration of transgressive overyielding of algal mixed cultures in microdroplets. Integrative Biology. 9(8). 687–694. 11 indexed citations
10.
Chen, Yu, et al.. (2014). Metabolic network motifs can provide novel insights into evolution: The evolutionary origin of Eukaryotic organelles as a case study. Computational Biology and Chemistry. 53. 242–250. 3 indexed citations
11.
Minty, Jeremy J., et al.. (2013). Design and characterization of synthetic fungal-bacterial consortia for direct production of isobutanol from cellulosic biomass. Proceedings of the National Academy of Sciences. 110(36). 14592–14597. 332 indexed citations
12.
Lin, Fengming, et al.. (2013). Improving Fatty Acid Availability for Bio-Hydrocarbon Production in Escherichia coli by Metabolic Engineering. PLoS ONE. 8(10). e78595–e78595. 21 indexed citations
13.
Kerner, Alissa, et al.. (2012). A Programmable Escherichia coli Consortium via Tunable Symbiosis. PLoS ONE. 7(3). e34032–e34032. 74 indexed citations
14.
Park, Jihyang, Alissa Kerner, Mark A. Burns, & Xiaoxia Nina Lin. (2011). Microdroplet-Enabled Highly Parallel Co-Cultivation of Microbial Communities. PLoS ONE. 6(2). e17019–e17019. 137 indexed citations
15.
Minty, Jeremy J., Fengming Lin, Yu Chen, et al.. (2011). Evolution combined with genomic study elucidates genetic bases of isobutanol tolerance in Escherichia coli. Microbial Cell Factories. 10(1). 18–18. 146 indexed citations
16.
Ventura, Alejandra C., et al.. (2010). Multisite Phosphorylation Provides an Effective and Flexible Mechanism for Switch-Like Protein Degradation. PLoS ONE. 5(12). e14029–e14029. 33 indexed citations
17.
Lin, Xiaoxia Nina. (2010). Method for Asymmetric Distributed Loads on Curving Areas in Products Simulation Analysis. Journal of Mechanical Engineering. 46(1). 122–122. 1 indexed citations
18.
Minty, Jeremy J., et al.. (2009). Network Benchmarking: A Happy Marriage between Systems and Synthetic Biology. Chemistry & Biology. 16(3). 239–241. 5 indexed citations
19.
Segrè, Daniel, Jeremy Zucker, Xiaoxia Nina Lin, et al.. (2003). From Annotated Genomes to Metabolic Flux Models and Kinetic Parameter Fitting. OMICS A Journal of Integrative Biology. 7(3). 301–316. 49 indexed citations
20.
Lin, Xiaoxia Nina, Christodoulos A. Floudas, Ying Wang, & James R. Broach. (2003). Theoretical and computational studies of the glucose signaling pathways in yeast using global gene expression data. Biotechnology and Bioengineering. 84(7). 864–886. 13 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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