Ling Dong

4.2k citations
154 papers · 3.1k · h-index 33

Impact in

Papers in

    • Ginseng Biological Effects and Applications 9
    • Pharmacological Effects of Natural Compounds 12
    • Berberine and alkaloids research 11
    • Flavonoids in Medical Research 8

Ling Dong

149 papers receiving 3.0k citations

Peers

Ling Dong
Comparison fields: 5 of 140
  • Applied Microbiology and Biotechnology 90
  • Obstetrics and Gynecology 269
  • Geriatrics and Gerontology 62
  • Physiology 454
  • Pharmacology 158
Replace Verena Stangl with:
Verena Stangl Germany
Anthony Zulli Australia
Qin Gao China
Dan Zhou China
Sérgio Henrique Sousa Santos Brazil
Christo J. F. Muller South Africa
Takeshi Ishii Japan
Eva Kassi Greece
Jens Martens‐Lobenhoffer Germany
Naila Rabbani United Kingdom
Ling Dong relative to Verena Stangl Germany Verena Stangl's profile →
Citations per field
00.5×3.6×
Verena Stangl · 1×
Citations per year

Countries citing papers authored by Ling Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ling Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ling Dong, 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 Ling Dong Line = papers co-authored together Ling Dong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010168
2 2003156
3 2014152
4 2013149
5 2002114
6 201090
7 200885
8 201085
9 200685
10 200763
11 201061
12 201660
13 201660
14 202259
15 201856
16 201454
17 201652
18 202151
19 201348
20 202243

About Ling Dong

Ling Dong is a scholar working on Molecular Biology, Pharmacology, Physiology, Pharmacology and Complementary and alternative medicine, having authored 154 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (12 papers), Traditional Chinese Medicine Analysis (11 papers), Berberine and alkaloids research (11 papers), Ginseng Biological Effects and Applications (9 papers), Pain Mechanisms and Treatments (9 papers), Chromatography in Natural Products (9 papers), Flavonoids in Medical Research (8 papers) and Gestational Diabetes Research and Management (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (90 citations), Obstetrics and Gynecology (269 citations), Geriatrics and Gerontology (62 citations), Physiology (454 citations) and Pharmacology (158 citations). Ling Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Beth A. Winkelstein, Duolao Wang, Feng Gao, Suzhen Chen, Melitta Schachner, Fenghao Geng, Sylvain Lehmann, Alain Mangé, Hong Yan and Xilin Yang. Their work appears in journals such as Journal of Neurotrauma, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal of the American College of Cardiology, Cancer Research and Life Sciences.

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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