Kaili Ding

1.1k citations
27 papers · 848 · h-index 13

Impact in

Papers in

    • Biofuel production and bioconversion 11
    • Nanoplatforms for cancer theranostics 6
    • Catalysis for Biomass Conversion 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Extracellular vesicles in disease 3

Kaili Ding

25 papers receiving 837 citations

Peers

Kaili Ding
Comparison fields: 5 of 94
  • Biomaterials 187
  • Biomedical Engineering 486
  • Immunology 141
  • Biotechnology 52
  • Food Science 106
Replace Kaushik N. Thakkar with:
Kaushik N. Thakkar United States
Liyan Li China
Haroon Iqbal China
Nitin Gupta India
Neha Saxena India
Ganesh Munuswamy‐Ramanujam India
Michael Danquah United States
Mohammed Abed Jawad Iraq
Yachana Mishra India
Kaili Ding relative to Kaushik N. Thakkar United States Kaushik N. Thakkar's profile →
Citations per field
00.5×1.5×2.2×
Kaushik N. Thakkar · 1×
Citations per year

Countries citing papers authored by Kaili Ding

Since Specialization
Citations

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

Fields of papers citing papers by Kaili Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 2019100
3 201995
4 202193
5 201966
6 201962
7 202055
8 202248
9 202438
10 202229
11 202127
12 202224
13 202317
14 202112
15 202111
16 202111
17 202411
18 20165
19 20244
20 20243

About Kaili Ding

Kaili Ding is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Food Science and Biotechnology, having authored 27 papers that have together received 848 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (11 papers), Nanoplatforms for cancer theranostics (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Catalysis for Biomass Conversion (4 papers), Advanced Cellulose Research Studies (3 papers), Extracellular vesicles in disease (3 papers), Food Quality and Safety Studies (3 papers) and Fermentation and Sensory Analysis (3 papers). The work is most often cited by research in Biomaterials (187 citations), Biomedical Engineering (486 citations), Immunology (141 citations), Biotechnology (52 citations) and Food Science (106 citations). Kaili Ding has collaborated with scholars based in China, Singapore and Iran. Frequent co-authors include Cuixia Zheng, Huifang Xiao, Hongjuan Zhao, Guozhong Zhao, Zhenzhong Zhang, Hadiatullah Hadiatullah, Li Li, Lingling Sun, Lei Wang and Beibei Zhao. Their work appears in journals such as LWT, Industrial Crops and Products, Advanced Healthcare Materials, Photodiagnosis and Photodynamic Therapy and Enzyme and Microbial Technology.

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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