Lei Kai
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Ion Transport and Channel Regulation
- Lipid Membrane Structure and Behavior
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- RNA and protein synthesis mechanisms 13
- Ion Transport and Channel Regulation 9
- Lipid Membrane Structure and Behavior 6
- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- Enzyme Catalysis and Immobilization 3
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- Membrane-based Ion Separation Techniques 5
- Co-authors
- Ralf Kaldenhoff (7 shared papers)Frank Bernhard (9 shared papers)Norbert Uehlein (2 shared papers)Volker Dötsch (7 shared papers)Yiyong Zhu (6 shared papers)Petra Schwille (6 shared papers)Imran Rashid Rajput (1 shared paper)Lei Ding (2 shared papers)
In The Last Decade
Lei Kai
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Animal Science and Zoology 141
- Molecular Biology 733
- Plant Science 332
- Biotechnology 55
- Microbiology 26
Countries citing papers authored by Lei Kai
This map shows the geographic impact of Lei Kai'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 Lei Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Kai more than expected).
Fields of papers citing papers by Lei Kai
This network shows the impact of papers produced by Lei Kai. 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 Lei Kai. The network helps show where Lei Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Kai, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 120 | |
| 2 | 2015 | 104 | |
| 3 | 2013 | 85 | |
| 4 | 2018 | 75 | |
| 5 | 2009 | 67 | |
| 6 | 2017 | 54 | |
| 7 | 2017 | 50 | |
| 8 | 2012 | 47 | |
| 9 | 2019 | 47 | |
| 10 | 2008 | 40 | |
| 11 | 2011 | 36 | |
| 12 | 2010 | 36 | |
| 13 | 2014 | 33 | |
| 14 | 2022 | 31 | |
| 15 | 2013 | 31 | |
| 16 | 2015 | 31 | |
| 17 | 2007 | 28 | |
| 18 | 2012 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2013 | 21 |
About Lei Kai
Lei Kai is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Mechanical Engineering and Cellular and Molecular Neuroscience, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Ion Transport and Channel Regulation (9 papers), Lipid Membrane Structure and Behavior (6 papers), Membrane-based Ion Separation Techniques (5 papers), CRISPR and Genetic Engineering (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Plant nutrient uptake and metabolism (3 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Animal Science and Zoology (141 citations), Molecular Biology (733 citations), Plant Science (332 citations), Biotechnology (55 citations) and Microbiology (26 citations). Lei Kai has collaborated with scholars based in China, Germany and Poland. Frequent co-authors include Ralf Kaldenhoff, Frank Bernhard, Norbert Uehlein, Volker Dötsch, Yiyong Zhu, Petra Schwille, Imran Rashid Rajput, Lei Ding, Shiwei Guo and Michaël Heymann. Their work appears in journals such as Cells, World Journal of Microbiology and Biotechnology, PLoS ONE, Poultry Science and Scientific Reports.
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.