Ding Li

4.7k total citations
219 papers, 3.3k citations indexed

About

Ding Li is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Ding Li has authored 219 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 47 papers in Plant Science and 40 papers in Pharmacology. Recurrent topics in Ding Li's work include Cholinesterase and Neurodegenerative Diseases (13 papers), Alzheimer's disease research and treatments (10 papers) and Computational Drug Discovery Methods (10 papers). Ding Li is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (13 papers), Alzheimer's disease research and treatments (10 papers) and Computational Drug Discovery Methods (10 papers). Ding Li collaborates with scholars based in China, Hong Kong and United States. Ding Li's co-authors include Jin‐Ming Gao, Zhi‐Shu Huang, Lian‐Quan Gu, Lin Han, Min Wang, Shi‐Liang Huang, Jia‐Heng Tan, Ruixue Zhu, Qiang Peng and Chun Fang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ding Li

205 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding Li China 32 1.4k 687 611 492 285 219 3.3k
Luciana Scotti Brazil 33 1.3k 1.0× 998 1.5× 554 0.9× 590 1.2× 645 2.3× 283 3.8k
Jonathan Bisson United States 22 1.4k 1.0× 284 0.4× 574 0.9× 413 0.8× 205 0.7× 42 3.2k
James G. Graham United States 24 1.5k 1.1× 365 0.5× 524 0.9× 653 1.3× 160 0.6× 51 3.3k
Dharmendra Kumar Yadav India 33 1.5k 1.1× 760 1.1× 421 0.7× 328 0.7× 574 2.0× 196 3.7k
Dongli Li China 30 1.3k 0.9× 498 0.7× 549 0.9× 554 1.1× 72 0.3× 255 4.0k
Andreas G. Tzakos Greece 34 1.8k 1.3× 665 1.0× 281 0.5× 459 0.9× 271 1.0× 171 4.1k
Afzal Hussain Saudi Arabia 34 1.5k 1.1× 487 0.7× 308 0.5× 286 0.6× 675 2.4× 137 3.2k
Sushil Kumar Singh India 31 919 0.7× 1.3k 1.9× 617 1.0× 354 0.7× 511 1.8× 185 3.4k
Emmanuel Mikros Greece 36 2.4k 1.7× 1.0k 1.5× 272 0.4× 391 0.8× 167 0.6× 185 4.5k

Countries citing papers authored by Ding Li

Since Specialization
Citations

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

Fields of papers citing papers by Ding Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Li. A scholar is included among the top collaborators of Ding Li 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 Ding Li. Ding Li 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.
Huang, Peiyu, et al.. (2025). Best Practices for Chronic Pancreatitis Pain Management: A Comprehensive Evidence-Based Review. Journal of Inflammation Research. Volume 18. 5087–5096.
2.
Li, Ding, et al.. (2025). Molecular characterisation of two novel KPC variants mediating ceftazidime-avibactam resistance in ST11 Klebsiella pneumoniae. International Journal of Antimicrobial Agents. 66(6). 107642–107642.
3.
Song, Yan, Kazuhito Sato, Andrew Houston, et al.. (2025). Elevated p16Ink4a Expression Enhances Tau Phosphorylation in Neurons Differentiated From Human‐Induced Pluripotent Stem Cells. Aging Cell. 24(5). e14472–e14472.
4.
Huang, Ying, Yanqin Guo, Zhou Xu, et al.. (2025). A non-derivatized high-performance liquid chromatography method for simultaneous quantification of hydroxyl acids and amino acids in ammonolysis reactions. Analytical Methods. 17(7). 1590–1602. 1 indexed citations
6.
Wang, Yajun, et al.. (2024). The influence mechanism of water-liquid CO2 treatment on the hydrophobicity of vitrinite and inertinite. Powder Technology. 445. 120143–120143. 1 indexed citations
7.
Gao, Huanhuan, Ding Li, Wen Zhu, et al.. (2024). Characterization of Kunitz-Domain Anticoagulation Peptides Derived from Acinetobacter baumannii Exotoxin Protein F6W77. Toxins. 16(10). 450–450. 2 indexed citations
8.
Jiang, Tingting, Rong Zhang, Jiannan Li, et al.. (2023). Ergostane-type sterols and sesquiterpenes with anti-neuroinflammatory activity from a Nigrograna species associated with Clematis shensiensis. Phytochemistry. 211. 113690–113690. 3 indexed citations
9.
Liu, Ting, et al.. (2023). Design, synthesis and biological evaluation of novel indole-piperazine derivatives as antibacterial agents. Bioorganic & Medicinal Chemistry Letters. 89. 129320–129320. 5 indexed citations
10.
Zhang, Yihan, Xin Xie, Hong Zhou, et al.. (2023). Identification of SERPINA1 promoting better prognosis in papillary thyroid carcinoma along with Hashimoto’s thyroiditis through WGCNA analysis. Frontiers in Endocrinology. 14. 1131078–1131078. 2 indexed citations
11.
Li, Ding, Yuki Miyasaka, Yoshikazu Kitano, et al.. (2023). Characterization and alteration of product specificity of Beijerinckia indica subsp. indica β-fructosyltransferase. Bioscience Biotechnology and Biochemistry. 87(9). 981–990. 1 indexed citations
12.
Wang, Lu, Jinting Chen, Panpan Wang, et al.. (2023). Diversified cassane family diterpenoids from the leaves of Caesalpinia minax exerting anti-neuroinflammatory activity through suppressing MAPK and NF-κB pathways in BV-2 microglia. Journal of Ethnopharmacology. 315. 116653–116653. 4 indexed citations
13.
Chen, Zhiwei, Qing Jiang, Fang Liu, et al.. (2022). A novel magnetic metal–organic framework absorbent for rapid detection of aflatoxins B1B2G1G2 in rice by HPLC-MS/MS. Analytical Methods. 14(25). 2522–2530. 9 indexed citations
14.
Xu, Zhou, et al.. (2022). Facile and Sensitive Method for Detecting Bisphenol A UsingUbiquitous pH Meters. ChemistrySelect. 7(31). 2 indexed citations
15.
Tian, Wen, Xiong Xiao, Lei Zhou, et al.. (2022). TRPC channels blockade abolishes endotoxemic cardiac dysfunction by hampering intracellular inflammation and Ca2+ leakage. Nature Communications. 13(1). 7455–7455. 25 indexed citations
16.
Li, Ding, et al.. (2020). Phaeosphaones: Tyrosinase Inhibitory Thiodiketopiperazines from an Endophytic Phaeosphaeria fuckelii. Journal of Natural Products. 83(5). 1592–1597. 31 indexed citations
17.
Luo, Xudong, Wen Zhu, Ding Li, et al.. (2018). Bldesin, the first functionally characterized pathogenic fungus defensin with Kv1.3 channel and chymotrypsin inhibitory activities. Journal of Biochemical and Molecular Toxicology. 33(2). e22244–e22244. 13 indexed citations
18.
Wang, Chengzhong, et al.. (2018). Effects of Growth Environment and Tree Age on Biomass Allocation within Fruit Twigs of Fengdan(Paeonia ostii). Zhiwu yanjiu. 38(2). 201. 2 indexed citations
19.
Li, Ding, et al.. (2015). Tetrastigmatis hemsleyani Diels.Gilgクロロホルム抽出及びそれらの抗腫瘍活性の化学成分. 50(21). 1857–1860. 1 indexed citations
20.
Wang, Junru, et al.. (2005). Testing of active constituents in the stems and leaves of ten {\sl Caragana} plants. Xibei zhiwu xuebao. 25(12). 2549–2552. 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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