Nana Ding

771 citations
32 papers · 566 · h-index 11

Impact in

    • Andrographolide Research and Applications
    • Microbial Metabolic Engineering and Bioproduction
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • Viral Infectious Diseases and Gene Expression in Insects
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Microbial Metabolic Engineering and Bioproduction 6
    • CRISPR and Genetic Engineering 5
    • Enzyme Catalysis and Immobilization 4
    • RNA and protein synthesis mechanisms 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Biofuel production and bioconversion 4

Nana Ding

30 papers receiving 560 citations

Peers

Nana Ding
Comparison fields: 5 of 103
  • Complementary and alternative medicine 51
  • Molecular Biology 303
  • Biochemistry 27
  • Biotechnology 19
  • Pharmacology 31
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Citations per field
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Citations per year

Countries citing papers authored by Nana Ding

Since Specialization
Citations

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

Fields of papers citing papers by Nana Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021107
2 202087
3 201774
4 201845
5 202343
6 202335
7 202129
8 202118
9 202415
10 202312
11 201412
12 202210
13 20248
14 20228
15 20168
16 20247
17 20106
18 20256
19 20245
20 20255

About Nana Ding

Nana Ding is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Spectroscopy and Plant Science, having authored 32 papers that have together received 566 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (6 papers), CRISPR and Genetic Engineering (5 papers), Enzyme Catalysis and Immobilization (4 papers), RNA and protein synthesis mechanisms (4 papers), Biofuel production and bioconversion (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Molecular Sensors and Ion Detection (2 papers) and Ecology and Vegetation Dynamics Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (51 citations), Molecular Biology (303 citations), Biochemistry (27 citations), Biotechnology (19 citations) and Pharmacology (31 citations). Nana Ding has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Yu Deng, Shenghu Zhou, Xiao‐Juan Zhang, Jing Chen, Lianghong Yin, Runhua Han, Shibin Feng, Jinjie Wu, Xichun Wang and Xuedong Ding. Their work appears in journals such as Molecules, Journal of Agricultural and Food Chemistry, Evidence-based Complementary and Alternative Medicine, Nucleic Acids Research and CNS Neuroscience & Therapeutics.

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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