Jun Ding

613 citations
33 papers · 507 · h-index 11

Impact in

    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
    • Fatigue and fracture mechanics
    • Metallurgy and Material Forming
    • Mechanical stress and fatigue analysis

Papers in

    • Fatigue and fracture mechanics 8
    • Metallurgy and Material Forming 3
    • Toxoplasma gondii Research Studies 5
    • Parasitic Infections and Diagnostics 4

Jun Ding

31 papers receiving 497 citations

Peers

Jun Ding
Comparison fields: 5 of 74
  • Parasitology 111
  • Mechanics of Materials 202
  • Mechanical Engineering 213
  • Small Animals 38
  • Animal Science and Zoology 50
Replace Motoo ASAKAWA with:
Motoo ASAKAWA Japan
Robert J. Flynn Ireland
B. Enders Germany
Chaoyue Wang China
Herakles A. García Brazil
Youngsub Lee South Korea
Linhan Li China
Amir Ghorbani United States
J. R. Audy Australia
Guohong Chen China
Jun Ding relative to Motoo ASAKAWA Japan Motoo ASAKAWA's profile →
Citations per field
00.5×
Motoo ASAKAWA · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008190
2 200657
3 201430
4 201128
5 201323
6 200621
7 200820
8 202120
9 201117
10 202115
11 202211
12 202110
13 202010
14 20089
15 20128
16 20087
17 20197
18 20094
19 20093
20 20043

About Jun Ding

Jun Ding is a scholar working on Mechanics of Materials, Parasitology, Mechanical Engineering, Small Animals and Animal Science and Zoology, having authored 33 papers that have together received 507 indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (8 papers), High Temperature Alloys and Creep (6 papers), Toxoplasma gondii Research Studies (5 papers), Coccidia and coccidiosis research (4 papers), Parasitic Infections and Diagnostics (4 papers), Veterinary medicine and infectious diseases (4 papers), Metallurgy and Material Forming (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Parasitology (111 citations), Mechanics of Materials (202 citations), Mechanical Engineering (213 citations), Small Animals (38 citations) and Animal Science and Zoology (50 citations). Jun Ding has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Guozheng Kang, Yujie Liu, Qing Gao, Wei Zhang, Qun Liu, Jing Liu, Jinhai Yu, Zhaofei Xia, Yaming Shan and Qianhua Kan. Their work appears in journals such as Parasitology Research, BMC Oral Health, Veterinary Parasitology, Frontiers in Endocrinology and Frontiers in Oncology.

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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