Lan Ding

1.4k citations
63 papers · 1.2k · h-index 20

Impact in

Papers in

    • Bioactive Natural Diterpenoids Research 15
    • Biological Activity of Diterpenoids and Biflavonoids 10
    • Phytochemistry and Biological Activities 9
    • Allelopathy and phytotoxic interactions 8

Lan Ding

61 papers receiving 1.2k citations

Peers

Lan Ding
Comparison fields: 5 of 126
  • Pharmacology 119
  • Biochemistry 79
  • Computational Theory and Mathematics 199
  • Electrochemistry 57
  • Molecular Medicine 40
Replace Maria Maddalena Cavalluzzi with:
Maria Maddalena Cavalluzzi Italy
Xiaoyun Zhang China
Veda Prakash Pandey India
Goran Šinko Croatia
E.S. Salmina Germany
Syed Wadood Ali Shah Pakistan
Liang Wu China
Muhammad Ikram Pakistan
Sadia Sultan Malaysia
Rosaria Medda Italy
Lan Ding relative to Maria Maddalena Cavalluzzi Italy Maria Maddalena Cavalluzzi's profile →
Citations per field
00.5×2×3×4.4×
Maria Maddalena Cavalluzzi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Lan Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lan Ding Line = papers co-authored together Lan Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009155
2 2008110
3 201658
4 201757
5 200856
6 201554
7 201654
8 201843
9 201341
10 201739
11 200537
12 201736
13 201834
14 201033
15 201532
16 201928
17 201727
18 200626
19 200926
20 200820

About Lan Ding

Lan Ding is a scholar working on Molecular Biology, Plant Science, Pharmacology, Computational Theory and Mathematics and Spectroscopy, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioactive Natural Diterpenoids Research (15 papers), Biological Activity of Diterpenoids and Biflavonoids (10 papers), Computational Drug Discovery Methods (9 papers), Phytochemistry and Biological Activities (9 papers), Allelopathy and phytotoxic interactions (8 papers), Plant-based Medicinal Research (6 papers), Molecular Sensors and Ion Detection (5 papers) and Electrochemical sensors and biosensors (4 papers). The work is most often cited by research in Pharmacology (119 citations), Biochemistry (79 citations), Computational Theory and Mathematics (199 citations), Electrochemistry (57 citations) and Molecular Medicine (40 citations). Lan Ding has collaborated with scholars based in China and Germany. Frequent co-authors include Hui Zhang, Ji-Xia Ren, Bo Qiang Qin, Guoan Liu, Qian Hou, Zhiqiang Yan, Haiyan Cui, Xiuhui Liu, Yumin Song and Jingwang Liu. Their work appears in journals such as Molecular Diversity, Plant Physiology and Biochemistry, Food and Chemical Toxicology, Journal of Plant Growth Regulation and Plant Growth Regulation.

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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