Jun Ding

1.4k citations
57 papers · 1.2k · h-index 18

Impact in

Papers in

    • Echinoderm biology and ecology 20
    • Aquaculture Nutrition and Growth 13
    • Reproductive biology and impacts on aquatic species 7

Jun Ding

55 papers receiving 1.2k citations

Peers

Jun Ding
Comparison fields: 5 of 92
  • Aquatic Science 173
  • Analytical Chemistry 154
  • Physiology 36
  • Plant Science 335
  • Spectroscopy 94
Replace Yukiko K. Nakamura with:
Yukiko K. Nakamura Japan
Xing Tian China
Anne Surget France
Ellen Mosleth Færgestad Norway
Yi Ding China
Yun‐Guo Liu China
Antonio Cellini Italy
Mir Asif Iquebal India
Savithiry S Natarajan United States
Jun Ding relative to Yukiko K. Nakamura Japan Yukiko K. Nakamura's profile →
Citations per field
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Yukiko K. Nakamura · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 201887
3 202074
4 201567
5 201566
6 201365
7 202463
8 201360
9 201660
10 201450
11 201645
12 201945
13 201437
14 201235
15 201823
16 200921
17 200820
18 201619
19 201917
20 202016

About Jun Ding

Jun Ding is a scholar working on Aquatic Science, Physiology, Analytical Chemistry, Ecology and Biochemistry, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Echinoderm biology and ecology (20 papers), Aquaculture Nutrition and Growth (13 papers), Analytical chemistry methods development (8 papers), Reproductive biology and impacts on aquatic species (7 papers), Physiological and biochemical adaptations (6 papers), Pesticide Residue Analysis and Safety (4 papers), Lipid metabolism and biosynthesis (3 papers) and Marine Bivalve and Aquaculture Studies (3 papers). The work is most often cited by research in Aquatic Science (173 citations), Analytical Chemistry (154 citations), Physiology (36 citations), Plant Science (335 citations) and Spectroscopy (94 citations). Jun Ding has collaborated with scholars based in China, Sweden and Japan. Frequent co-authors include Yu‐Qi Feng, Yaqing Chang, Bi‐Feng Yuan, Wen‐Jing Cai, Heng Wang, Hua‐Ming Xiao, Tian-Tian Ye, Zhenlin Hao, Wenfei Zhao and Rantao Zuo. Their work appears in journals such as Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Food Chemistry, Aquaculture Nutrition, Frontiers in Marine Science and Scientific 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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