Ge Ding

494 citations
37 papers · 391 · h-index 13

Impact in

    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals
    • Identification and Quantification in Food
    • Microbial Metabolic Engineering and Bioproduction

Papers in

    • Genetic diversity and population structure 18
    • Identification and Quantification in Food 9
    • Genomics and Phylogenetic Studies 3
    • Microbial Metabolic Engineering and Bioproduction 2
    • Heat shock proteins research 1

Ge Ding

36 papers receiving 370 citations

Peers

Ge Ding
Comparison fields: 5 of 35
  • Genetics 121
  • Molecular Biology 151
  • Ecology 54
  • Ecology, Evolution, Behavior and Systematics 32
  • Physiology 7
Replace Jeong-Nam Yu with:
Jeong-Nam Yu South Korea
Kazuki Sato Japan
Hua‐Hao Zhang China
Karolina Walkowiak‐Nowicka Poland
Hua Wei China
Ceinwen A. Tilley United Kingdom
Jiantao Guan China
De‐Long Guan China
Jian-Jun Guo China
Ge Ding relative to Jeong-Nam Yu South Korea Jeong-Nam Yu's profile →
Citations per field
00.5×1.5×1.9×
Jeong-Nam Yu · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200949
2 200633
3 200725
4 200824
5 201323
6 200822
7 201822
8 201319
9 201517
10 200816
11 201816
12 201815
13 202015
14 201413
15 20107
16 20127
17 20257
18 20096
19 20116
20 20126

About Ge Ding

Ge Ding is a scholar working on Genetics, Molecular Biology, Ecology, Immunology and Health, Toxicology and Mutagenesis, having authored 37 papers that have together received 391 indexed citations. Recurring topics across this work include Genetic diversity and population structure (18 papers), Identification and Quantification in Food (9 papers), Crustacean biology and ecology (5 papers), Physiological and biochemical adaptations (3 papers), Genomics and Phylogenetic Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Aquaculture disease management and microbiota (2 papers) and Heat shock proteins research (1 paper). The work is most often cited by research in Genetics (121 citations), Molecular Biology (151 citations), Ecology (54 citations), Ecology, Evolution, Behavior and Systematics (32 citations) and Physiology (7 citations). Ge Ding has collaborated with scholars based in China and Taiwan. Frequent co-authors include Xiaoyu Ding, Dai-Zhen Zhang, Boping Tang, Huabin Zhang, Xuexia Li, Baoming Ge, Jian Gao, Senhao Jiang, Zhengfei Wang and Lingling Zhao. Their work appears in journals such as Gene, European Food Research and Technology, Molecular Biology Reports, International Journal of Biological Macromolecules and Planta Medica.

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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