Ye Ni

5.1k citations
159 papers · 4.0k · h-index 33

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 67
    • Microbial Metabolic Engineering and Bioproduction 55
    • Biofuel production and bioconversion 25
    • Catalysis for Biomass Conversion 12

Ye Ni

155 papers receiving 3.9k citations

Peers

Ye Ni
Comparison fields: 5 of 123
  • Biotechnology 551
  • Biomedical Engineering 1.8k
  • Molecular Biology 2.6k
  • Biochemistry 187
  • Catalysis 153
Replace Peilin Cen with:
Peilin Cen China
Chwen‐Jen Shieh Taiwan
Jiandong Cui China
Francesco Molinari Italy
Pingkai Ouyang China
Ruizhi Han China
R.K. Saxena India
Andrés Illanes Chile
Oveimar Barbosa Colombia
Alain Marty France
Ye Ni relative to Peilin Cen China Peilin Cen's profile →
Citations per field
00.5×6.7×
Peilin Cen · 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 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015342
2 2007243
3 2009220
4 2009141
5 2017119
6 2010114
7 2018113
8 2008109
9 2008101
10 2009101
11 200486
12 201966
13 201861
14 201557
15 201256
16 201253
17 202053
18 202052
19 201347
20 201647

About Ye Ni

Ye Ni is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Genetics and Materials Chemistry, having authored 159 papers that have together received 4.0k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (67 papers), Microbial Metabolic Engineering and Bioproduction (55 papers), Biofuel production and bioconversion (25 papers), Enzyme Structure and Function (18 papers), Amino Acid Enzymes and Metabolism (16 papers), Catalysis for Biomass Conversion (12 papers), Enzyme Production and Characterization (11 papers) and Microbial Metabolites in Food Biotechnology (10 papers). The work is most often cited by research in Biotechnology (551 citations), Biomedical Engineering (1.8k citations), Molecular Biology (2.6k citations), Biochemistry (187 citations) and Catalysis (153 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, Applied Microbiology and Biotechnology and ACS Sustainable Chemistry & Engineering.

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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