Peipei Wang

5.0k total citations · 1 hit paper
115 papers, 3.7k citations indexed

About

Peipei Wang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Peipei Wang has authored 115 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 40 papers in Plant Science and 15 papers in Genetics. Recurrent topics in Peipei Wang's work include Plant biochemistry and biosynthesis (9 papers), Plant-Microbe Interactions and Immunity (9 papers) and Genomics and Phylogenetic Studies (7 papers). Peipei Wang is often cited by papers focused on Plant biochemistry and biosynthesis (9 papers), Plant-Microbe Interactions and Immunity (9 papers) and Genomics and Phylogenetic Studies (7 papers). Peipei Wang collaborates with scholars based in China, United States and Australia. Peipei Wang's co-authors include Zhanhai Yang, Xiaochun Huang, Hongming Weng, Mianqi Xue, Xi Dai, Lingxiao Zhao, Hui Liang, Yujia Long, Genfu Chen and Zhong Fang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Peipei Wang

108 papers receiving 3.6k citations

Hit Papers

Observation of the Chiral-Anomaly-Induced Negative Magnet... 2015 2026 2018 2022 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peipei Wang China 32 1.2k 1.1k 993 817 365 115 3.7k
Yoshito Tanaka Japan 33 1.3k 1.0× 490 0.5× 1.1k 1.2× 305 0.4× 55 0.2× 200 3.7k
K. Shimomura Japan 28 826 0.7× 517 0.5× 828 0.8× 385 0.5× 171 0.5× 298 3.3k
Dan V. Nicolau Australia 34 1.4k 1.1× 298 0.3× 192 0.2× 195 0.2× 243 0.7× 205 3.2k
Akira Itoh Japan 35 664 0.5× 536 0.5× 239 0.2× 479 0.6× 53 0.1× 150 5.1k
Gary M. Smith United States 30 738 0.6× 342 0.3× 381 0.4× 254 0.3× 199 0.5× 118 2.6k
Young Hwan Kim South Korea 37 2.0k 1.6× 124 0.1× 705 0.7× 426 0.5× 24 0.1× 247 5.2k
Richard Schneider United States 37 721 0.6× 1.6k 1.5× 114 0.1× 297 0.4× 336 0.9× 187 4.3k
Gerhard Franz Germany 32 860 0.7× 233 0.2× 1.6k 1.6× 218 0.3× 34 0.1× 246 3.7k
Yutaka Takagi Japan 40 1.1k 0.9× 471 0.4× 745 0.8× 2.3k 2.8× 111 0.3× 223 5.7k
Martin F. Chaplin United Kingdom 23 992 0.8× 336 0.3× 704 0.7× 298 0.4× 24 0.1× 56 3.2k

Countries citing papers authored by Peipei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peipei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Peipei Wang. A scholar is included among the top collaborators of Peipei Wang 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 Peipei Wang. Peipei Wang 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
3.
Wang, Peipei, Fanrui Meng, Nicholas Panchy, et al.. (2022). High‐throughput measurement of plant fitness traits with an object detection method using Faster R‐CNN. New Phytologist. 234(4). 1521–1533. 9 indexed citations
4.
Jian, Tengyue, Yicheng Zhou, Peipei Wang, et al.. (2022). Highly stable and tunable peptoid/hemin enzymatic mimetics with natural peroxidase-like activities. Nature Communications. 13(1). 3025–3025. 70 indexed citations
5.
Wang, Peipei, et al.. (2022). Computational prediction of plant metabolic pathways. Current Opinion in Plant Biology. 66. 102171–102171. 14 indexed citations
6.
Wang, Peipei, Fanrui Meng, Bethany M. Moore, & Shin‐Han Shiu. (2021). Impact of short-read sequencing on the misassembly of a plant genome. BMC Genomics. 22(1). 99–99. 7 indexed citations
7.
Moore, Bethany M., Yun Sun Lee, Peipei Wang, et al.. (2021). Modeling temporal and hormonal regulation of plant transcriptional response to wounding. The Plant Cell. 34(2). 867–888. 22 indexed citations
8.
Wang, Peipei, Bethany M. Moore, Sahra Uygun, et al.. (2021). Optimising the use of gene expression data to predict plant metabolic pathway memberships. New Phytologist. 231(1). 475–489. 8 indexed citations
9.
Wang, Peipei, Bethany M. Moore, Fanrui Meng, et al.. (2021). Predictive Models of Genetic Redundancy inArabidopsis thaliana. Molecular Biology and Evolution. 38(8). 3397–3414. 19 indexed citations
10.
Bao, Yan, Wei-Meng Song, Peipei Wang, et al.. (2020). COST1 regulates autophagy to control plant drought tolerance. Proceedings of the National Academy of Sciences. 117(13). 7482–7493. 80 indexed citations
11.
Moore, Bethany M., Peipei Wang, Pengxiang Fan, et al.. (2020). Within- and cross-species predictions of plant specialized metabolism genes using transfer learning. PubMed. 2(1). diaa005–diaa005. 18 indexed citations
12.
Fan, Pengxiang, Peipei Wang, Yann‐Ru Lou, et al.. (2020). Evolution of a plant gene cluster in Solanaceae and emergence of metabolic diversity. eLife. 9. 58 indexed citations
13.
Moore, Bethany M., Peipei Wang, Pengxiang Fan, et al.. (2019). Robust predictions of specialized metabolism genes through machine learning. Proceedings of the National Academy of Sciences. 116(6). 2344–2353. 82 indexed citations
14.
Li, Shezeng, et al.. (2018). Occurrence of potato Verticillium wilt and analysis of pathogenicity differentiation of the major pathogen in seven provinces of China.. Acta Phytopathologica Sinica. 48(5). 656–665. 1 indexed citations
15.
Wang, Peipei, Zhongqi Liu, & Yongchun Huang. (2018). Complete genome sequence of soil actinobacteria Streptomyces cavourensis TJ430. Journal of Basic Microbiology. 58(12). 1083–1090. 4 indexed citations
16.
Wang, Peipei, et al.. (2015). Relationship between phytoplankton functional groups and environmental factors in the Wei River Basin.. The Research of Environmental Sciences. 28(9). 1397–1406. 1 indexed citations
17.
Wang, Peipei, et al.. (2014). Analysis of aroma compounds in Baiyunbian aged liquors.. Shipin anquan zhiliang jiance xuebao. 5(5). 1475–1484. 3 indexed citations
18.
Wang, Peipei. (2013). Data acquisition and motion simulation of lower limb. Journal of Medical Biomechanics. 1 indexed citations
19.
Wang, Peipei. (2008). Chemical Study on the Fruiting Bodies of Armillariella Tabescens. Zhongguo yaofang. 1 indexed citations
20.
Wang, Peipei, Pengzhu Zhang, & Fangfang Xu. (2004). Research on Policies to Support Telecommuting in China.. Journal of the Association for Information Systems. 1368–1373. 3 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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