Jun Ding

2.1k citations
121 papers · 1.6k · h-index 21

Impact in

    • Echinoderm biology and ecology
    • Aquaculture Nutrition and Growth
  • Aging top 10%

Papers in

    • Echinoderm biology and ecology 68
    • Aquaculture Nutrition and Growth 20
    • Aquaculture disease management and microbiota 16

Jun Ding

106 papers receiving 1.5k citations

Peers

Jun Ding
Comparison fields: 5 of 93
  • Aquatic Science 524
  • Aging 20
  • Physiology 46
  • Immunology 217
  • Spectroscopy 98
Replace Lina Sun with:
Lina Sun China
Chang Xu China
José Rafael Pedrajas Spain
Il‐Chan Kim South Korea
Sylvie Doulbeau France
Andrés Ritter France
Tsukasa Mori Japan
Sofia Morais Spain
Josep À. Calduch-Giner Spain
T. Yasumoto Japan
Jun Ding relative to Lina Sun China Lina Sun's profile →
Citations per field
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Lina Sun · 1×
Citations per year

Countries citing papers authored by Jun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021165
2 2017148
3 201886
4 201566
5 201255
6 200943
7 201839
8 200735
9 202032
10 202131
11 201828
12 202228
13 201527
14 201426
15 201926
16 202326
17 200725
18 202025
19 202225
20 201923

About Jun Ding

Jun Ding is a scholar working on Aquatic Science, Immunology, Ecology, Genetics and Global and Planetary Change, having authored 121 papers that have together received 1.6k indexed citations. Recurring topics across this work include Echinoderm biology and ecology (68 papers), Aquaculture Nutrition and Growth (20 papers), Aquaculture disease management and microbiota (16 papers), Genetic and phenotypic traits in livestock (8 papers), Marine Bivalve and Aquaculture Studies (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Physiological and biochemical adaptations (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Aquatic Science (524 citations), Aging (20 citations), Physiology (46 citations), Immunology (217 citations) and Spectroscopy (98 citations). Jun Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yaqing Chang, Yu‐Qi Feng, Luo Wang, Bi‐Feng Yuan, Rantao Zuo, Chong Zhao, Oliver Fiehn, Zhenlin Hao, Yinan Wang and Tong Shen. Their work appears in journals such as Aquaculture, Aquaculture Reports, Biology, Marine Environmental Research and Aquaculture International.

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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