Anming Ding

2.0k total citations · 1 hit paper
45 papers, 1.4k citations indexed

About

Anming Ding is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Anming Ding has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 19 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Anming Ding's work include Wheat and Barley Genetics and Pathology (14 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Plant Molecular Biology Research (14 papers). Anming Ding is often cited by papers focused on Wheat and Barley Genetics and Pathology (14 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Plant Molecular Biology Research (14 papers). Anming Ding collaborates with scholars based in China, United States and Canada. Anming Ding's co-authors include Yingzhen Kong, Prince Marowa, Honggang Wang, Fa Cui, Chunhua Zhao, Xingfeng Li, Yinguang Bao, Jun Li, Xiuqin Wang and Zongchang Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Anming Ding

44 papers receiving 1.4k citations

Hit Papers

Expansins: roles in plant growth and potential applicatio... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anming Ding China 19 1.3k 468 386 187 44 45 1.4k
Dangqun Cui China 24 1.5k 1.1× 471 1.0× 384 1.0× 347 1.9× 46 1.0× 73 1.7k
Guangyao Zhao China 27 2.2k 1.7× 384 0.8× 1.1k 3.0× 164 0.9× 35 0.8× 47 2.4k
Nikolai M. Adamski United Kingdom 16 1.5k 1.1× 315 0.7× 532 1.4× 147 0.8× 18 0.4× 21 1.6k
Kazumasa Murata Japan 18 1.6k 1.2× 430 0.9× 743 1.9× 148 0.8× 102 2.3× 28 1.8k
Soraya C. M. Leal‐Bertioli Brazil 27 2.4k 1.9× 278 0.6× 748 1.9× 110 0.6× 32 0.7× 81 2.6k
Alain Murigneux France 23 1.8k 1.4× 871 1.9× 496 1.3× 206 1.1× 89 2.0× 31 2.0k
Muhammad Abdul Rehman Rashid Pakistan 17 1.0k 0.8× 414 0.9× 298 0.8× 84 0.4× 19 0.4× 79 1.2k
Genying Li China 22 1.2k 0.9× 188 0.4× 418 1.1× 153 0.8× 29 0.7× 62 1.3k
Vincent R. Pantalone United States 29 2.2k 1.7× 240 0.5× 268 0.7× 143 0.8× 47 1.1× 84 2.5k
Gaofeng Jia China 19 2.1k 1.6× 415 0.9× 329 0.9× 132 0.7× 21 0.5× 25 2.3k

Countries citing papers authored by Anming Ding

Since Specialization
Citations

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

Fields of papers citing papers by Anming Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anming Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Anming Ding. A scholar is included among the top collaborators of Anming Ding 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 Anming Ding. Anming Ding 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.
Li, Wanhong, Yali Li, Bintao Zhang, et al.. (2024). Overexpression of ZlMYB1 and ZlMYB2 increases flavonoid contents and antioxidant capacity and enhances the inhibition of α-glucosidase and tyrosinase activity in rice seeds. Food Chemistry. 460(Pt 3). 140670–140670. 3 indexed citations
2.
Xie, Minmin, Anming Ding, Yongfeng Guo, et al.. (2024). The transcription factors ZAT5 and BLH2/4 regulate homogalacturonan demethylesterification in Arabidopsis seed coat mucilage. The Plant Cell. 36(10). 4491–4510. 3 indexed citations
3.
Liu, Yong, et al.. (2023). Induced defense strategies of plants against Ralstonia solanacearum. Frontiers in Microbiology. 14. 1059799–1059799. 31 indexed citations
4.
Yang, Ting, Anming Ding, Lianguang Shang, et al.. (2022). Systematic Analysis of BELL Family Genes in Zizania latifolia and Functional Identification of ZlqSH1a/b in Rice Seed Shattering. International Journal of Molecular Sciences. 23(24). 15939–15939. 6 indexed citations
5.
Ding, Anming, et al.. (2022). Metabolomic and transcriptomic analysis of roots of tobacco varieties resistant and susceptible to bacterial wilt. Genomics. 114(5). 110471–110471. 23 indexed citations
6.
Sun, Jinhao, Cuiling Yuan, Meng Wang, et al.. (2021). MUD1, a RING-v E3 ubiquitin ligase, has an important role in the regulation of pectin methylesterification in Arabidopsis seed coat mucilage. Plant Physiology and Biochemistry. 168. 230–238. 6 indexed citations
7.
Ding, Anming, Xianfeng Tang, Da‐Hai Yang, et al.. (2020). ERF4 and MYB52 transcription factors play antagonistic roles in regulating homogalacturonan de-methylesterification in Arabidopsis seed coat mucilage. The Plant Cell. 33(2). 381–403. 49 indexed citations
8.
9.
Marowa, Prince, Anming Ding, Zongchang Xu, & Yingzhen Kong. (2020). Overexpression of NtEXPA11 modulates plant growth and development and enhances stress tolerance in tobacco. Plant Physiology and Biochemistry. 151. 477–485. 21 indexed citations
10.
Xu, Hua, Anming Ding, Sihui Chen, et al.. (2018). Genome-Wide Analysis of Sorghum GT47 Family Reveals Functional Divergences of MUR3-Like Genes. Frontiers in Plant Science. 9. 1773–1773. 12 indexed citations
11.
Ding, Anming, et al.. (2016). Genome-wide analysis of TCP family in tobacco. Genetics and Molecular Research. 15(2). 37 indexed citations
12.
Ding, Anming, Prince Marowa, & Yingzhen Kong. (2016). Genome-wide identification of the expansin gene family in tobacco (Nicotiana tabacum). Molecular Genetics and Genomics. 291(5). 1891–1907. 61 indexed citations
13.
Marowa, Prince, Anming Ding, & Yingzhen Kong. (2016). Expansins: roles in plant growth and potential applications in crop improvement. Plant Cell Reports. 35(5). 949–965. 324 indexed citations breakdown →
14.
Ding, Anming, Ling Li, Tingting Sun, et al.. (2014). Genome-wide identification and bioinformatic analysis of PPR gene family in tomato. Hereditas (Beijing). 36(1). 77–84. 7 indexed citations
15.
Zhao, Chunhua, et al.. (2013). Genetic analysis of important loci in the winter wheat backbone parent Aimengniu-V.. Australian Journal of Crop Science. 7(2). 182–188. 6 indexed citations
16.
Zhang, Hong, Fa Cui, Lin Wang, et al.. (2013). Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations. Journal of Genetics. 92(2). 213–231. 43 indexed citations
17.
Cui, Fa, Chunhua Zhao, Anming Ding, et al.. (2013). Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations. Theoretical and Applied Genetics. 127(3). 659–675. 147 indexed citations
18.
Wang, Lin, Fa Cui, Jinping Wang, et al.. (2012). Conditional QTL mapping of protein content in wheat with respect to grain yield and its components. Journal of Genetics. 91(3). 303–312. 43 indexed citations
19.
Cui, Fa, Anming Ding, Jun Li, et al.. (2011). Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level?. Journal of Genetics. 90(3). 409–425. 43 indexed citations
20.
Ding, Anming, et al.. (2011). Mapping QTLs for Yield Related Traits Using Two Associated RIL Populations of Wheat. Acta Agronomica Sinica. 37(9). 1511–1524. 17 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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