Jun Ni
Impact in
- Biotechnology top 2%
- Biochemical and biochemical processes
-
- Algal biology and biofuel production
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 11
- Enzyme Catalysis and Immobilization 6
- Photosynthetic Processes and Mechanisms 6
-
- Algal biology and biofuel production 8
- Co-authors
- Ping Xu (18 shared papers)Fei Tao (17 shared papers)Yutong Wu (3 shared papers)Hongyu Liu (6 shared papers)Yu Wang (3 shared papers)Dejin Hu (1 shared paper)Zhenyu Zhu (1 shared paper)Peng Yuan (1 shared paper)
- Journals
- Scientific Reports (3 papers)Angewandte Chemie International Edition (3 papers)Green Chemistry (2 papers)European Journal of Immunology (2 papers)iScience (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Ni
48 papers receiving 941 citations
Jun Ni's Hit Papers
Peers
Comparison fields: 5 of 105
- Biotechnology 224
- Renewable Energy, Sustainability and the Environment 158
- Molecular Biology 507
- Biomedical Engineering 248
- Process Chemistry and Technology 16
Countries citing papers authored by Jun Ni
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
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.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 88 | |
| 2 | 2018 | 87 | |
| 3 | 2015 | 81 | |
| 4 | 2013 | 59 | |
| 5 | 2017 | 52 | |
| 6 | 2015 | 46 | |
| 7 | 2015 | 40 | |
| 8 | 2008 | 38 | |
| 9 | 2009 | 36 | |
| 10 | 2018 | 33 | |
| 11 | 2000 | 33 | |
| 12 | 2016 | 30 | |
| 13 | 2023 | 26 | |
| 14 | 2022 | 26 | |
| 15 | 2020 | 24 | |
| 16 | 2021 | 21 | |
| 17 | 2020 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 1999 | 19 | |
| 20 | 2019 | 19 |
About Jun Ni
Jun Ni is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Biotechnology, Biomedical Engineering and Mechanical Engineering, having authored 50 papers that have together received 962 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), Enzyme Catalysis and Immobilization (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Dialysis and Renal Disease Management (3 papers), Advanced machining processes and optimization (3 papers) and Microbial Fuel Cells and Bioremediation (3 papers). The work is most often cited by research in Biotechnology (224 citations), Renewable Energy, Sustainability and the Environment (158 citations), Molecular Biology (507 citations), Biomedical Engineering (248 citations) and Process Chemistry and Technology (16 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, Yu Wang, Dejin Hu, Zhenyu Zhu, Peng Yuan, Hongzhi Tang and Feng Yao. Their work appears in journals such as Scientific Reports, Angewandte Chemie International Edition, Green Chemistry, European Journal of Immunology and iScience.
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.