Ge Ding

649 citations
47 papers · 534 · h-index 15

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Crustacean biology and ecology 6
    • Physiological and biochemical adaptations 5

Ge Ding

46 papers receiving 504 citations

Peers

Ge Ding
Comparison fields: 5 of 66
  • Pharmacology 106
  • Aquatic Science 47
  • Ecology, Evolution, Behavior and Systematics 93
  • Radiology, Nuclear Medicine and Imaging 88
  • Complementary and alternative medicine 25
Replace Yasunori Ono with:
Yasunori Ono Japan
Łukasz Chajec Poland
Zelin Duan China
Marina P. Isaeva Russia
Ganapathy Rajaseger Singapore
Jun‐Ho Song South Korea
Yue Gao China
Jianghua Chen China
Satoshi Kanoh Japan
Yun Jia China
Ge Ding relative to Yasunori Ono Japan Yasunori Ono's profile →
Citations per field
00.5×10×20×29.3×
Yasunori Ono · 1×
Citations per year

Countries citing papers authored by Ge Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ge Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200250
2 200949
3 200147
4 200633
5 200725
6 201323
7 200823
8 201822
9
[Genetic diversity and molecular authentication of wild populations of Dendrobium officinale by RAPD].
200522
10 200821
11 201319
12 201517
13 200816
14 201815
15 201815
16 202014
17 201413
18 20107
19 20127
20 20227

About Ge Ding

Ge Ding is a scholar working on Molecular Biology, Ecology, Genetics, Pharmacology and Aquatic Science, having authored 47 papers that have together received 534 indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Biological and pharmacological studies of plants (9 papers), Crustacean biology and ecology (6 papers), Aquaculture Nutrition and Growth (5 papers), Plant and animal studies (5 papers), Physiological and biochemical adaptations (5 papers), Genomics and Phylogenetic Studies (5 papers) and Plant chemical constituents analysis (3 papers). The work is most often cited by research in Pharmacology (106 citations), Aquatic Science (47 citations), Ecology, Evolution, Behavior and Systematics (93 citations), Radiology, Nuclear Medicine and Imaging (88 citations) and Complementary and alternative medicine (25 citations). Ge Ding has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaoyu Ding, Dai-Zhen Zhang, S E Babayan, Robert F. Hicks, Xuexia Li, Boping Tang, Huabin Zhang, Zhang Li, Baoming Ge and G R Nowling. Their work appears in journals such as Gene, European Food Research and Technology, Planta Medica, Plasma Chemistry and Plasma Processing and Molecular Biology Reports.

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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