Lan Ding

1.4k total citations
65 papers, 1.2k citations indexed

About

Lan Ding is a scholar working on Molecular Biology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Lan Ding has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Plant Science and 9 papers in Computational Theory and Mathematics. Recurrent topics in Lan Ding's work include Bioactive Natural Diterpenoids Research (16 papers), Biological Activity of Diterpenoids and Biflavonoids (10 papers) and Computational Drug Discovery Methods (9 papers). Lan Ding is often cited by papers focused on Bioactive Natural Diterpenoids Research (16 papers), Biological Activity of Diterpenoids and Biflavonoids (10 papers) and Computational Drug Discovery Methods (9 papers). Lan Ding collaborates with scholars based in China, United States and Germany. Lan Ding's co-authors include Hui Zhang, Guoan Liu, Ji-Xia Ren, Bo Qin, Guoan Liu, Qingming Yang, Qian Hou, Haiyan Cui, Xiuhui Liu and Zhiqiang Yan and has published in prestigious journals such as Food Chemistry, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Lan Ding

62 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Ding China 20 411 309 195 157 145 65 1.2k
E.S. Salmina Germany 7 424 1.0× 201 0.7× 240 1.2× 164 1.0× 185 1.3× 8 1.2k
Abha Meena India 22 579 1.4× 219 0.7× 85 0.4× 107 0.7× 162 1.1× 75 1.5k
Goran Šinko Croatia 23 352 0.9× 668 2.2× 420 2.2× 153 1.0× 288 2.0× 51 1.7k
Sadia Sultan Malaysia 23 562 1.4× 191 0.6× 143 0.7× 53 0.3× 422 2.9× 86 1.4k
Mumtaz Ali Pakistan 26 523 1.3× 270 0.9× 177 0.9× 243 1.5× 655 4.5× 108 1.7k
Tongyi Dou China 22 596 1.5× 113 0.4× 131 0.7× 109 0.7× 131 0.9× 48 1.2k
Gabriele Caccialanza Italy 26 942 2.3× 298 1.0× 64 0.3× 105 0.7× 99 0.7× 69 1.9k
Vinay K. Sharma South Korea 21 357 0.9× 221 0.7× 69 0.4× 115 0.7× 458 3.2× 67 1.8k
Veda P. Pandey India 20 484 1.2× 897 2.9× 98 0.5× 129 0.8× 106 0.7× 43 1.5k
Abuzer Ali Saudi Arabia 22 420 1.0× 236 0.8× 112 0.6× 62 0.4× 310 2.1× 121 1.5k

Countries citing papers authored by Lan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Ding. A scholar is included among the top collaborators of Lan 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 Lan Ding. Lan 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.
Yu, Zhen, Xingyan Liu, Yaoyao Wang, et al.. (2025). A novel wheat S1-bZIP gene, TabZIP11-D, confers stress resistance in Arabidopsis. Plant Physiology and Biochemistry. 224. 109946–109946.
2.
Yang, Yonghui, et al.. (2024). Discovery of rearranged tigliane-type diterpenoids from Euphorbia ebracteolata. Tetrahedron. 157. 133963–133963.
3.
Zhao, Lijuan, Liting Wang, Xingyan Liu, et al.. (2023). TabZIP60 is involved in the regulation of ABA synthesis-mediated salt tolerance through interacting with TaCDPK30 in wheat (Triticum aestivum L.). Planta. 257(6). 107–107. 15 indexed citations
4.
Wang, Ni, et al.. (2022). Discovery of potent microtubule-destabilizing agents targeting for colchicine site by virtual screening, biological evaluation, and molecular dynamics simulation. European Journal of Pharmaceutical Sciences. 180. 106340–106340. 6 indexed citations
5.
Li, Feifei, Zhitong Bing, Weiqiang Chen, et al.. (2021). Prognosis biomarker and potential therapeutic target CRIP2 associated with radiosensitivity in NSCLC cells. Biochemical and Biophysical Research Communications. 584. 73–79. 5 indexed citations
6.
Liu, Xiaohong, et al.. (2021). Development of a Novel Silver‐based Sensing Platform for Detecting Superoxide Anion Released from HeLa Cells Directly. Electroanalysis. 34(6). 987–994. 7 indexed citations
7.
Zhang, Hui, et al.. (2021). Discovery of novel DGAT1 inhibitors by combination of machine learning methods, pharmacophore model and 3D-QSAR model. Molecular Diversity. 25(3). 1481–1495. 9 indexed citations
8.
Li, Lin, Qian Liu, Lan Ding, et al.. (2020). A novel ratiometric electrochemical sensing strategy for monitoring of peroxynitrite anion released from high glucose-induced cells. Sensors and Actuators B Chemical. 328. 129071–129071. 14 indexed citations
9.
Zhang, Hui, Jun Mao, Huanzhang Xie, et al.. (2020). Developing novel computational prediction models for assessing chemical-induced neurotoxicity using naïve Bayes classifier technique. Food and Chemical Toxicology. 143. 111513–111513. 15 indexed citations
10.
Zhang, Hui, et al.. (2019). In silico prediction of drug-induced developmental toxicity by using machine learning approaches. Molecular Diversity. 24(4). 1281–1290. 23 indexed citations
11.
Li, Peng, et al.. (2019). Weisiensin B inhibits primary and lateral root development by interfering with polar auxin transport in Arabidopsis thaliana. Plant Physiology and Biochemistry. 139. 738–745. 14 indexed citations
12.
Shang, Tianyi, et al.. (2017). Construction of an ultrasensitive non-enzymatic sensor to investigate the dynamic process of superoxide anion release from living cells. Biosensors and Bioelectronics. 100. 8–15. 39 indexed citations
13.
Yan, Zhiqiang, Dandan Wang, Lan Ding, et al.. (2015). Mechanism of artemisinin phytotoxicity action: Induction of reactive oxygen species and cell death in lettuce seedlings. Plant Physiology and Biochemistry. 88. 53–59. 52 indexed citations
15.
Ding, Lan, Hongwei Jing, Bo Qin, et al.. (2010). Regulation of Cell Division and Growth in Roots of Lactuca sativa L. Seedlings by the Ent-Kaurene Diterpenoid Rabdosin B. Journal of Chemical Ecology. 36(5). 553–563. 30 indexed citations
16.
Ding, Lan. (2008). Platelet-selectin and tumor metastasis. Journal of Northwest Normal University. 1 indexed citations
17.
Ding, Lan, et al.. (2008). Phytotoxic Effects of Leukamenin E (an ent-kaurene diterpenoid) on Root Growth and Root Hair Development in Lactuca sativa L. seedlings. Journal of Chemical Ecology. 34(11). 1492–1500. 21 indexed citations
18.
Ding, Lan, et al.. (2006). Cytotoxic ent-kaurane diterpenoids from Isodon racemosa (Hemsl) Hara. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 45(2). 548–551. 4 indexed citations
19.
Ding, Lan, et al.. (2003). Study on tissue culture and clonal propagation of Acapulco. 39(1). 66–68. 1 indexed citations
20.
Liu, Guoan, et al.. (2001). Study on protein and peroxidase of morphogenesis of Cymbidium ensifolium in vitro. 37(1). 76–79. 1 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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