Ye Ni

5.0k citations
157 papers · 3.8k · h-index 32

Impact in

  • Biotechnology top 0.5%
    • Enzyme Production and Characterization
    • Cancer Research and Treatments
    • Biofuel production and bioconversion
    • Catalysis for Biomass Conversion
    • Lignin and Wood Chemistry

Papers in

    • Enzyme Catalysis and Immobilization 66
    • Microbial Metabolic Engineering and Bioproduction 57
    • Biofuel production and bioconversion 25
    • Catalysis for Biomass Conversion 13

Ye Ni

151 papers receiving 3.8k citations

Peers

Ye Ni
Comparison fields: 5 of 125
  • Biotechnology 550
  • Biomedical Engineering 1.8k
  • Molecular Biology 2.6k
  • Biochemistry 188
  • Catalysis 152
Replace Chwen‐Jen Shieh with:
Chwen‐Jen Shieh Taiwan
Jiandong Cui China
Francesco Molinari Italy
R.K. Saxena India
Andrés Illanes Chile
Lorena Wilson Chile
Pyung Cheon Lee South Korea
Pu Zheng China
Kyungmoon Park South Korea
Hiroyasu Ogino Japan
Ye Ni relative to Chwen‐Jen Shieh Taiwan Chwen‐Jen Shieh's profile →
Citations per field
00.5×10×
Chwen‐Jen Shieh · 1×
Citations per year

Countries citing papers authored by Ye Ni

Since Specialization
Citations

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

Fields of papers citing papers by Ye Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015337
2 2007238
3 2009220
4 2009141
5 2017116
6 2010113
7 2018109
8 2008108
9 2009101
10 2008100
11 200485
12 201965
13 201860
14 201556
15 201256
16 201253
17 202051
18 202050
19 201647
20 201546

About Ye Ni

Ye Ni is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Biotechnology and Materials Chemistry, having authored 157 papers that have together received 3.8k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (66 papers), Microbial Metabolic Engineering and Bioproduction (57 papers), Biofuel production and bioconversion (25 papers), Enzyme Structure and Function (18 papers), Amino Acid Enzymes and Metabolism (16 papers), Catalysis for Biomass Conversion (13 papers), Bacterial Genetics and Biotechnology (11 papers) and Enzyme Production and Characterization (10 papers). The work is most often cited by research in Biotechnology (550 citations), Biomedical Engineering (1.8k citations), Molecular Biology (2.6k citations), Biochemistry (188 citations) and Catalysis (152 citations). Ye Ni has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhihao Sun, Guochao Xu, Jinjun Dong, Ruizhi Han, Pu Zheng, Jieyu Zhou, Rachel R. Chen, Ulrich Schwaneberg, Leilei Zhu and Rachel Chen. Their work appears in journals such as Bioresource Technology, Molecular Catalysis, Applied Biochemistry and Biotechnology, Catalysis Science & Technology and Applied Microbiology and Biotechnology.

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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