Bei‐Wen Ying

2.1k total citations
61 papers, 1.5k citations indexed

About

Bei‐Wen Ying is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Bei‐Wen Ying has authored 61 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 44 papers in Genetics and 9 papers in Ecology. Recurrent topics in Bei‐Wen Ying's work include Evolution and Genetic Dynamics (30 papers), Bacterial Genetics and Biotechnology (25 papers) and Gene Regulatory Network Analysis (16 papers). Bei‐Wen Ying is often cited by papers focused on Evolution and Genetic Dynamics (30 papers), Bacterial Genetics and Biotechnology (25 papers) and Gene Regulatory Network Analysis (16 papers). Bei‐Wen Ying collaborates with scholars based in Japan, China and United States. Bei‐Wen Ying's co-authors include Takuya Ueda, Tetsuya Yomo, Hideki Taguchi, Saburo Tsuru, Yoshihiro Shimizu, Shoji Takada, Tatsuya Niwa, Wenzhen Jin, Shigeto Seno and Hideo Matsuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Bei‐Wen Ying

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bei‐Wen Ying Japan	21	1.2k	612	198	125	121	61	1.5k
Ichiro Matsumura United States	20	1.3k 1.1×	336 0.5×	150 0.8×	157 1.3×	149 1.2×	41	1.6k
Keith E. Shearwin Australia	24	1.9k 1.6×	863 1.4×	572 2.9×	76 0.6×	69 0.6×	73	2.4k
Alan I. Derman United States	13	1.0k 0.9×	684 1.1×	327 1.7×	33 0.3×	157 1.3×	18	1.4k
Shimon Bershtein Israel	14	1.1k 1.0×	641 1.0×	79 0.4×	92 0.7×	163 1.3×	27	1.5k
Heath E. Klock United States	20	1.0k 0.9×	227 0.4×	101 0.5×	47 0.4×	241 2.0×	37	1.4k
Ignacio Aréchaga Spain	25	1.3k 1.1×	415 0.7×	297 1.5×	55 0.4×	60 0.5×	44	2.2k
Gerhard Krauss Germany	23	1.3k 1.1×	277 0.5×	110 0.6×	107 0.9×	90 0.7×	45	1.5k
Christian Hoischen Germany	27	1.8k 1.5×	518 0.8×	178 0.9×	135 1.1×	209 1.7×	54	2.2k
Hetunandan Kamisetty United States	10	2.0k 1.7×	332 0.5×	113 0.6×	42 0.3×	500 4.1×	23	2.3k
I. Li de la Sierra-Gallay France	24	1.4k 1.2×	430 0.7×	219 1.1×	30 0.2×	218 1.8×	71	1.8k

Countries citing papers authored by Bei‐Wen Ying

Since Specialization

Citations

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

Fields of papers citing papers by Bei‐Wen Ying

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bei‐Wen Ying. 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 Bei‐Wen Ying. The network helps show where Bei‐Wen Ying may publish in the future.

Co-authorship network of co-authors of Bei‐Wen Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Bei‐Wen Ying. A scholar is included among the top collaborators of Bei‐Wen Ying 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 Bei‐Wen Ying. Bei‐Wen Ying 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:

20 of 20 papers shown

Zhang, Yuanqiang & Bei‐Wen Ying. (2025). Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints. Scientific Reports. 15(1). 32634–32634.

Ying, Bei‐Wen, et al.. (2025). Population Dynamics of Escherichia coli Growing under Chemically Defined Media. Scientific Data. 12(1). 984–984.

Ozawa, Yuki, et al.. (2024). A data-driven approach for cell culture medium optimization. Biochemical Engineering Journal. 214. 109591–109591. 7 indexed citations

Ying, Bei‐Wen, et al.. (2024). Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth. Communications Biology. 7(1). 1691–1691. 4 indexed citations

Ying, Bei‐Wen, et al.. (2023). Challenges in developing cell culture media using machine learning. Biotechnology Advances. 70. 108293–108293. 23 indexed citations

Zhang, Yuanqiang, et al.. (2023). Employing Active Learning in Medium Optimization for Selective Bacterial Growth. SHILAP Revista de lepidopterología. 3(4). 1355–1369. 4 indexed citations

Ying, Bei‐Wen, et al.. (2023). Growth rate-associated transcriptome reorganization in response to genomic, environmental, and evolutionary interruptions. Frontiers in Microbiology. 14. 1145673–1145673. 5 indexed citations

Lu, Hui, Feng Chen, Yang Xia, et al.. (2022). Primordial mimicry induces morphological change in Escherichia coli. Communications Biology. 5(1). 24–24. 8 indexed citations

Ying, Bei‐Wen, et al.. (2022). Global coordination of the mutation and growth rates across the genetic and nutritional variety in Escherichia coli. Frontiers in Microbiology. 13. 990969–990969. 4 indexed citations

10.

Ying, Bei‐Wen, et al.. (2021). Correlation between the spatial distribution and colony size was common for monogenetic bacteria in laboratory conditions. BMC Microbiology. 21(1). 114–114. 11 indexed citations

11.

Yomo, Tetsuya, et al.. (2018). A decay effect of the growth rate associated with genome reduction in Escherichia coli. BMC Microbiology. 18(1). 101–101. 19 indexed citations

12.

Ying, Bei‐Wen, Shigeto Seno, Hideo Matsuda, & Tetsuya Yomo. (2017). A simple comparison of the extrinsic noise in gene expression between native and foreign regulations in Escherichia coli. Biochemical and Biophysical Research Communications. 486(3). 852–857. 5 indexed citations

13.

Seno, Shigeto, et al.. (2016). Correlation between genome reduction and bacterial growth. DNA Research. 23(6). 517–525. 53 indexed citations

14.

Ying, Bei‐Wen, Yuki Matsumoto, Shingo Suzuki, et al.. (2015). Bacterial transcriptome reorganization in thermal adaptive evolution. BMC Genomics. 16(1). 802–802. 18 indexed citations

15.

Yoshida, Mari, Saburo Tsuru, Shigeto Seno, et al.. (2014). Directed evolution of cell size in Escherichia coli. BMC Evolutionary Biology. 14(1). 257–257. 17 indexed citations

16.

Ying, Bei‐Wen, Saburo Tsuru, Shigeto Seno, Hideo Matsuda, & Tetsuya Yomo. (2013). Gene expression scaled by distance to the genome replication site. Molecular BioSystems. 10(3). 375–379. 18 indexed citations

17.

Niwa, Tatsuya, Bei‐Wen Ying, Wenzhen Jin, et al.. (2009). Bimodal protein solubility distribution revealed by an aggregation analysis of the entire ensemble of Escherichia coli proteins. Proceedings of the National Academy of Sciences. 106(11). 4201–4206. 252 indexed citations

18.

Kashiwagi, Akiko, Takahiro Sakurai, Saburo Tsuru, et al.. (2008). Construction of Escherichia coli gene expression level perturbation collection. Metabolic Engineering. 11(1). 56–63. 28 indexed citations

19.

Ying, Bei‐Wen, Dominique Fourmy, & Satoko Yoshizawa. (2007). Substitution of the use of radioactivity by fluorescence for biochemical studies of RNA. RNA. 13(11). 2042–2050. 31 indexed citations

20.

Shimizu, Yoshihiro, Yutetsu Kuruma, Bei‐Wen Ying, So Umekage, & Takuya Ueda. (2006). Cell‐free translation systems for protein engineering. FEBS Journal. 273(18). 4133–4140. 66 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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