Lan Ding

1.4k citations
66 papers · 1.2k · h-index 21

Impact in

Papers in

    • Bioactive Natural Diterpenoids Research 18
    • Biological Activity of Diterpenoids and Biflavonoids 10
    • Phytochemistry and Biological Activities 9
    • Allelopathy and phytotoxic interactions 8
    • Plant Stress Responses and Tolerance 4

Lan Ding

63 papers receiving 1.2k citations

Peers

Lan Ding
Comparison fields: 5 of 124
  • Pharmacology 114
  • Biochemistry 78
  • Computational Theory and Mathematics 181
  • Electrochemistry 57
  • Plant Science 306
Replace Maria Maddalena Cavalluzzi with:
Maria Maddalena Cavalluzzi Italy
Gabriele Caccialanza Italy
Goran Šinko Croatia
Sadia Sultan Malaysia
Veda P. Pandey India
E.S. Salmina Germany
Liang Wu China
Rosaria Medda Italy
Behzad Shareghi Iran
Subban Ravi India
Lan Ding relative to Maria Maddalena Cavalluzzi Italy Maria Maddalena Cavalluzzi's profile →
Citations per field
00.5×4.4×
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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009151
2 2008103
3 201754
4 200853
5 201552
6 201650
7 201649
8 201341
9 201739
10 201839
11 200536
12 201531
13 201030
14 201730
15 201830
16 200627
17 201726
18 200925
19 201923
20 200821

About Lan Ding

Lan Ding is a scholar working on Molecular Biology, Plant Science, Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioactive Natural Diterpenoids Research (18 papers), Biological Activity of Diterpenoids and Biflavonoids (10 papers), Phytochemistry and Biological Activities (9 papers), Computational Drug Discovery Methods (9 papers), Plant-based Medicinal Research (8 papers), Allelopathy and phytotoxic interactions (8 papers), Molecular Sensors and Ion Detection (5 papers) and Plant Stress Responses and Tolerance (4 papers). The work is most often cited by research in Pharmacology (114 citations), Biochemistry (78 citations), Computational Theory and Mathematics (181 citations), Electrochemistry (57 citations) and Plant Science (306 citations). Lan Ding has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hui Zhang, Bo Qin, Ji-Xia Ren, Guoan Liu, Haiyan Cui, Zhiqiang Yan, Qian Hou, Xiuhui Liu, Jingwang Liu and Junpeng Xu. Their work appears in journals such as Molecular Diversity, Food and Chemical Toxicology, Plant Physiology and Biochemistry, Journal of Plant Growth Regulation and Biosensors and Bioelectronics.

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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