Jun Ni

48 papers receiving 1.1k citations

Jun Ni's Hit Papers

Rational multienzyme architecture design with iMARS 2025 · 44 citations
440Years since publication10203040

Peers

Jun Ni
Comparison fields: 5 of 101
  • Biotechnology 245
  • Renewable Energy, Sustainability and the Environment 166
  • Molecular Biology 525
  • Process Chemistry and Technology 21
  • Biomedical Engineering 254
Replace Shuai Fan with:
Shuai Fan China
Everson Alves Miranda Brazil
Aleš Prokop Czechia
Srđan Novak Croatia
Xiaoqing Ding China
Tom Birger Granström Finland
Ryan S. Senger United States
Yifan Wang China
Swati Khanna India
Jun Ni relative to Shuai Fan China Shuai Fan's profile →
Citations per field
00.5×2×4×5.2×
Shuai Fan · 1×
Citations per year

Countries citing papers authored by Jun Ni

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201298
2 201896
3 201593
4 201362
5 201753
6 201552
7
Rational multienzyme architecture design with iMARS
Hit paper breakdown →
202544
8 201543
9 200840
10 200938
11 202235
12 201835
13 201634
14 200034
15 202333
16 202026
17 202125
18 202222
19 202221
20 202020

About Jun Ni

Jun Ni is a scholar working on Renewable Energy, Sustainability and the Environment, Biotechnology, Molecular Biology, Nephrology and Biomedical Engineering, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Algal biology and biofuel production (8 papers), Biochemical and biochemical processes (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Enzyme Catalysis and Immobilization (6 papers), CO2 Reduction Techniques and Catalysts (3 papers), Biofuel production and bioconversion (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). The work is most often cited by research in Biotechnology (245 citations), Renewable Energy, Sustainability and the Environment (166 citations), Molecular Biology (525 citations), Process Chemistry and Technology (21 citations) and Biomedical Engineering (254 citations). Jun Ni has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ping Xu, Fei Tao, Yutong Wu, Hongyu Liu, Li Hua Zhao, Dejin Hu, Yu Wang, Peng Yuan, Chaofeng Li and Zhenyu Zhu. Their work appears in journals such as Angewandte Chemie International Edition, Scientific Reports, Green Chemistry, European Journal of Immunology and Journal of the American Chemical Society.

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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