Ting Ding

2.1k citations
77 papers · 1.6k · h-index 24

Impact in

Papers in

Ting Ding

75 papers receiving 1.6k citations

Peers

Ting Ding
Comparison fields: 5 of 112
  • Endocrinology 60
  • Animal Science and Zoology 69
  • Molecular Biology 461
  • Drug Discovery 2
  • Biotechnology 46
Replace Kuniyasu Ochiai with:
Kuniyasu Ochiai Japan
Juan Pablo Reyes‐Grajeda Mexico
Elisabeth E. L. Nyström Sweden
Yulong Tang China
Indrajit Chowdhury United States
Hiroyuki Inagawa Japan
Elisabetta Buommino Italy
Chaoqun Li China
Vicki Strugala United Kingdom
Yan Zhou China
Ting Ding relative to Kuniyasu Ochiai Japan Kuniyasu Ochiai's profile →
Citations per field
00.5×2×2.6×
Kuniyasu Ochiai · 1×
Citations per year

Countries citing papers authored by Ting Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ting Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2 2014120
3 201976
4 202172
5 201768
6 201868
7 202066
8 201356
9 201455
10 202452
11 201451
12 201048
13 202244
14 201343
15 201737
16 201837
17 201935
18 201129
19 201928
20 201928

About Ting Ding

Ting Ding is a scholar working on Molecular Biology, Biomaterials, Animal Science and Zoology, Public Health, Environmental and Occupational Health and Pharmacology, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (15 papers), Maternal Mental Health During Pregnancy and Postpartum (5 papers), Anesthesia and Pain Management (4 papers), Nanocomposite Films for Food Packaging (4 papers), Surface Treatment and Coatings (4 papers), Microbial Natural Products and Biosynthesis (4 papers), High-Temperature Coating Behaviors (3 papers) and Bone Tissue Engineering Materials (3 papers). The work is most often cited by research in Endocrinology (60 citations), Animal Science and Zoology (69 citations), Molecular Biology (461 citations), Drug Discovery (2 citations) and Biotechnology (46 citations). Ting Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianrong Li, Wang Dong-xin, Yong Li, Yanlei Li, Dangfeng Wang, Yongchao Mei, Qian Chen, Sainan Zhu, Weidong Zhang and Nan Liu. Their work appears in journals such as LWT, Surface and Coatings Technology, Frontiers in Microbiology, Food Science and Human Wellness and RSC Advances.

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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