Kangle Niu

579 citations
23 papers · 374 · h-index 12

Impact in

Papers in

    • Enzyme Catalysis and Immobilization 6
    • Microbial Metabolic Engineering and Bioproduction 6
    • Fungal and yeast genetics research 4
    • Glycosylation and Glycoproteins Research 2
    • Biofuel production and bioconversion 15

Kangle Niu

23 papers receiving 371 citations

Peers

Kangle Niu
Comparison fields: 5 of 49
  • Biotechnology 84
  • Biomedical Engineering 216
  • Molecular Biology 230
  • Pollution 32
  • Plant Science 80
Replace Víctor E. Balderas‐Hernández with:
Víctor E. Balderas‐Hernández Mexico
Sana Raouche France
Junsong Sun China
Rafael R. Philippini Brazil
Shalini Singh India
Abdel-Hamied M. Rasmey Egypt
Yuanchao Qian China
Harshad Ravindra Velankar India
R. Bajpai United States
Wenzhu Tang China
Kangle Niu relative to Víctor E. Balderas‐Hernández Mexico Víctor E. Balderas‐Hernández's profile →
Citations per field
00.5×1.5×2.1×
Víctor E. Balderas‐Hernández · 1×
Citations per year

Countries citing papers authored by Kangle Niu

Since Specialization
Citations

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

Fields of papers citing papers by Kangle Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 201748
3 201945
4 202035
5 202131
6 202024
7 202020
8 201918
9 201614
10 202113
11 202011
12 201611
13 20199
14 20229
15 20227
16 20246
17 20244
18 20243
19 20233
20 20243

About Kangle Niu

Kangle Niu is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Nutrition and Dietetics and Organic Chemistry, having authored 23 papers that have together received 374 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (15 papers), Enzyme Catalysis and Immobilization (6 papers), Enzyme Production and Characterization (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Fungal and yeast genetics research (4 papers), Glycosylation and Glycoproteins Research (2 papers), Microbial Metabolites in Food Biotechnology (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Biotechnology (84 citations), Biomedical Engineering (216 citations), Molecular Biology (230 citations), Pollution (32 citations) and Plant Science (80 citations). Kangle Niu has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Xu Fang, Yi Jiang, Wei Guo, Lijuan Han, Mingyu Wang, Ruiqin Zhang, Fangzhong Wang, Kuimei Liu, Baojie Jiang and Chun‐Jiang Jia. Their work appears in journals such as Biotechnology for Biofuels, Applied Microbiology and Biotechnology, Journal of Agricultural and Food Chemistry, Frontiers in Microbiology and Bioresources and Bioprocessing.

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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