Tung‐Yun Wu

1.8k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

Tung‐Yun Wu is a scholar working on Molecular Biology, Biomedical Engineering and Inorganic Chemistry. According to data from OpenAlex, Tung‐Yun Wu has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Inorganic Chemistry. Recurrent topics in Tung‐Yun Wu's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Biofuel production and bioconversion (3 papers) and Gene Regulatory Network Analysis (2 papers). Tung‐Yun Wu is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Biofuel production and bioconversion (3 papers) and Gene Regulatory Network Analysis (2 papers). Tung‐Yun Wu collaborates with scholars based in United States and Taiwan. Tung‐Yun Wu's co-authors include James C. Liao, Shota Atsumi, Peter Malati, Han Li, Yi‐Xin Huo, Wendy Higashide, Paul H. Opgenorth, Steven C. Rogers, David G. Wernick and Chang-Ting Chen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Tung‐Yun Wu

8 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integrated Electromicrobial Conversion of CO ₂ to Higher Alcohols

2012 591 citations Han Li, Paul H. Opgenorth et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tung‐Yun Wu United States	7	1.0k	623	372	272	109	8	1.5k
David G. Wernick United States	9	735 0.7×	352 0.6×	427 1.1×	307 1.1×	100 0.9×	11	1.2k
Paul H. Opgenorth United States	7	811 0.8×	357 0.6×	316 0.8×	262 1.0×	81 0.7×	9	1.3k
Oren Yishai Germany	7	647 0.6×	237 0.4×	215 0.6×	120 0.4×	80 0.7×	7	824
Miguel Suástegui United States	9	487 0.5×	281 0.5×	211 0.6×	153 0.6×	105 1.0×	10	867
Jung Ho Ahn South Korea	15	736 0.7×	541 0.9×	57 0.2×	56 0.2×	53 0.5×	22	1.1k
Tong Un Chae South Korea	13	972 0.9×	586 0.9×	52 0.1×	38 0.1×	80 0.7×	17	1.3k
Shanshan Luo Germany	6	415 0.4×	289 0.5×	138 0.4×	76 0.3×	43 0.4×	7	622
Suwan Myung United States	14	722 0.7×	408 0.7×	82 0.2×	97 0.4×	95 0.9×	14	994
Jonathan Lo United States	17	500 0.5×	429 0.7×	101 0.3×	140 0.5×	42 0.4×	22	731
Y.-H. Percival Zhang United States	7	541 0.5×	296 0.5×	84 0.2×	66 0.2×	78 0.7×	9	769

Countries citing papers authored by Tung‐Yun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Tung‐Yun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tung‐Yun Wu. 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 Tung‐Yun Wu. The network helps show where Tung‐Yun Wu may publish in the future.

Co-authorship network of co-authors of Tung‐Yun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tung‐Yun Wu. A scholar is included among the top collaborators of Tung‐Yun Wu 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 Tung‐Yun Wu. Tung‐Yun Wu 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:

8 of 8 papers shown

1.

Lin, Paul P., et al.. (2018). Construction and evolution of an Escherichia coli strain relying on nonoxidative glycolysis for sugar catabolism. Proceedings of the National Academy of Sciences. 115(14). 3538–3546. 88 indexed citations

2.

Chen, Chang-Ting, Frederic Y.-H. Chen, Igor W. Bogorad, et al.. (2018). Synthetic methanol auxotrophy of Escherichia coli for methanol-dependent growth and production. Metabolic Engineering. 49. 257–266. 96 indexed citations

3.

Wu, Tung‐Yun, et al.. (2016). Characterization and evolution of an activator-independent methanol dehydrogenase from Cupriavidus necator N-1. Applied Microbiology and Biotechnology. 100(11). 4969–4983. 92 indexed citations

4.

Bogorad, Igor W., et al.. (2014). Building carbon–carbon bonds using a biocatalytic methanol condensation cycle. Proceedings of the National Academy of Sciences. 111(45). 15928–15933. 121 indexed citations

5.

Li, Han, Paul H. Opgenorth, David G. Wernick, et al.. (2012). Integrated Electromicrobial Conversion of CO ₂ to Higher Alcohols. Science. 335(6076). 1596–1596. 591 indexed citations breakdown →

6.

Atsumi, Shota, Tung‐Yun Wu, Iara M.P. Machado, et al.. (2010). Evolution, genomic analysis, and reconstruction of isobutanol tolerance in Escherichia coli. Molecular Systems Biology. 6(1). 449–449. 223 indexed citations

7.

Atsumi, Shota, et al.. (2009). Engineering the isobutanol biosynthetic pathway in Escherichia coli by comparison of three aldehyde reductase/alcohol dehydrogenase genes. Applied Microbiology and Biotechnology. 85(3). 651–657. 234 indexed citations

8.

Brynildsen, Mark P., Tung‐Yun Wu, Shi‐Shang Jang, & James C. Liao. (2007). Biological network mapping and source signal deduction. Bioinformatics. 23(14). 1783–1791. 6 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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