Kangle Niu

32 total papers · 526 total citations
23 papers, 356 citations indexed

About

Kangle Niu is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Kangle Niu has authored 23 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Biomedical Engineering and 6 papers in Biotechnology. Recurrent topics in Kangle Niu's work include Biofuel production and bioconversion (15 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Enzyme Production and Characterization (6 papers). Kangle Niu is often cited by papers focused on Biofuel production and bioconversion (15 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Enzyme Production and Characterization (6 papers). Kangle Niu collaborates with scholars based in China, Japan and South Korea. Kangle Niu's co-authors include Xu Fang, Yi Jiang, Wei Guo, Lijuan Han, Mingyu Wang, Ruiqin Zhang, Fangzhong Wang, Kuimei Liu, Zhiqiang Du and Chun‐Jiang Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Carbohydrate Polymers.

In The Last Decade

Kangle Niu

22 papers receiving 353 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kangle Niu	231	218	90	85	31	23	356
Qiuya Gu	220 1.0×	164 0.8×	72 0.8×	52 0.6×	23 0.7×	27	394
Sana Raouche	122 0.5×	151 0.7×	95 1.1×	64 0.8×	19 0.6×	17	377
Carlos F. Mignone	204 0.9×	107 0.5×	122 1.4×	44 0.5×	22 0.7×	22	382
Siddheshwar D. Kshirsagar	141 0.6×	234 1.1×	58 0.6×	98 1.2×	29 0.9×	13	367
Jasneet Grewal	210 0.9×	172 0.8×	74 0.8×	109 1.3×	25 0.8×	21	400
Shalini Singh	105 0.5×	144 0.7×	69 0.8×	113 1.3×	20 0.6×	18	343
Jyothi Bezawada	181 0.8×	123 0.6×	42 0.5×	86 1.0×	41 1.3×	12	340
Celia Flores	212 0.9×	141 0.6×	77 0.9×	86 1.0×	34 1.1×	23	394
Graciano Calva-Calva	91 0.4×	88 0.4×	88 1.0×	41 0.5×	61 2.0×	24	345
Prakasan Priji	272 1.2×	152 0.7×	77 0.9×	152 1.8×	37 1.2×	21	398

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-authorship network of co-authors of Kangle Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Kangle Niu. A scholar is included among the top collaborators of Kangle Niu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kangle Niu. Kangle Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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