Xiunan Yi

737 total citations
9 papers, 392 citations indexed

About

Xiunan Yi is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Xiunan Yi has authored 9 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Biomedical Engineering and 1 paper in Pharmacology. Recurrent topics in Xiunan Yi's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Biofuel production and bioconversion (2 papers) and CRISPR and Genetic Engineering (2 papers). Xiunan Yi is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Biofuel production and bioconversion (2 papers) and CRISPR and Genetic Engineering (2 papers). Xiunan Yi collaborates with scholars based in United States, Jordan and China. Xiunan Yi's co-authors include Hal S. Alper, Shuo‐Fu Yuan, Trevor G. Johnston, James M. Wagner, Patrick T. Smith, Abhijit Saha, Alshakim Nelson, Blake J. Rasor, Michael C. Jewett and Brenna A. Black and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Green Chemistry.

In The Last Decade

Xiunan Yi

9 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiunan Yi United States	7	268	163	58	41	24	9	392
Elvira Sgobba Germany	9	388 1.4×	174 1.1×	35 0.6×	17 0.4×	24 1.0×	9	449
Jiayuan Sheng United States	12	378 1.4×	212 1.3×	33 0.6×	16 0.4×	18 0.8×	18	433
Takahiro Bamba Japan	14	405 1.5×	275 1.7×	81 1.4×	18 0.4×	27 1.1×	28	481
Outi Koivistoinen Finland	9	325 1.2×	252 1.5×	44 0.8×	36 0.9×	58 2.4×	13	471
Hyewon Lee South Korea	14	473 1.8×	238 1.5×	43 0.7×	20 0.5×	16 0.7×	33	580
Chiam Yu Ng United States	10	531 2.0×	248 1.5×	36 0.6×	39 1.0×	13 0.5×	10	577
Werner Zang Germany	5	265 1.0×	166 1.0×	35 0.6×	14 0.3×	28 1.2×	6	354
Gideon Gießelmann Germany	6	315 1.2×	161 1.0×	31 0.5×	15 0.4×	10 0.4×	6	389
Sierra M. Brooks United States	8	176 0.7×	101 0.6×	34 0.6×	12 0.3×	14 0.6×	12	285
Mo Xian China	10	267 1.0×	107 0.7×	21 0.4×	28 0.7×	13 0.5×	17	342

Countries citing papers authored by Xiunan Yi

Since Specialization

Citations

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

Fields of papers citing papers by Xiunan Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiunan Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiunan Yi. A scholar is included among the top collaborators of Xiunan Yi 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 Xiunan Yi. Xiunan Yi 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:

9 of 9 papers shown

1.

Yi, Xiunan, Blake J. Rasor, Katherine Louie, et al.. (2023). Establishing a versatile toolkit of flux enhanced strains and cell extracts for pathway prototyping. Metabolic Engineering. 80. 241–253. 6 indexed citations

2.

Yi, Xiunan & Hal S. Alper. (2022). Considering Strain Variation and Non-Type Strains for Yeast Metabolic Engineering Applications. Life. 12(4). 510–510. 16 indexed citations

3.

Rasor, Blake J., et al.. (2021). An integrated in vivo/in vitro framework to enhance cell-free biosynthesis with metabolically rewired yeast extracts. Nature Communications. 12(1). 5139–5139. 25 indexed citations

4.

Wagner, James M., et al.. (2021). Genome Engineering of Yarrowia lipolytica with the PiggyBac Transposon System. Methods in molecular biology. 2307. 1–24. 2 indexed citations

5.

Yuan, Shuo‐Fu, Xiunan Yi, Trevor G. Johnston, & Hal S. Alper. (2020). De novo resveratrol production through modular engineering of an Escherichia coli–Saccharomyces cerevisiae co-culture. Microbial Cell Factories. 19(1). 143–143. 86 indexed citations

6.

Johnston, Trevor G., Shuo‐Fu Yuan, James M. Wagner, et al.. (2020). Compartmentalized microbes and co-cultures in hydrogels for on-demand bioproduction and preservation. Nature Communications. 11(1). 563–563. 169 indexed citations

7.

Yi, Xiunan, et al.. (2018). Electron microscopy snapshots of single particles from single cells. Journal of Biological Chemistry. 294(5). 1602–1608. 17 indexed citations

8.

Nogué, Violeta Sànchez i, Brenna A. Black, Jacob S. Kruger, et al.. (2018). Integrated diesel production from lignocellulosic sugarsviaoleaginous yeast. Green Chemistry. 20(18). 4349–4365. 46 indexed citations

9.

Zhu, Liping, Kuihua Han, Zhifeng Li, et al.. (2015). Allopatric integrations selectively change host transcriptomes, leading to varied expression efficiencies of exotic genes in Myxococcus xanthus. Microbial Cell Factories. 14(1). 105–105. 25 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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