Na Ke
Impact in
- Biotechnology top 10%
- Transgenic Plants and Applications
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- Protein purification and stability
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 5
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- Auditing, Earnings Management, Governance 5
- Corporate Finance and Governance 3
- Co-authors
- Mehmet Berkmen (12 shared papers)Guoping Ren (5 shared papers)Mary A. Schuler (2 shared papers)Stephen G. Sligar (2 shared papers)Dirk Landgraf (1 shared paper)Johan Paulsson (1 shared paper)Paul D. Riggs (4 shared papers)Jon Beckwith (3 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Animals (2 papers)Journal of Accounting and Economics (1 paper)Current Protocols in Protein Science (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Na Ke
29 papers receiving 594 citations
Peers
Comparison fields: 5 of 96
- Biotechnology 57
- Molecular Biology 403
- Radiology, Nuclear Medicine and Imaging 111
- Cancer Research 70
- Molecular Medicine 24
Countries citing papers authored by Na Ke
This map shows the geographic impact of Na Ke'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 Na Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Ke more than expected).
Fields of papers citing papers by Na Ke
This network shows the impact of papers produced by Na Ke. 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 Na Ke. The network helps show where Na Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Ke, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 102 | |
| 2 | 2014 | 75 | |
| 3 | 2015 | 51 | |
| 4 | 2016 | 46 | |
| 5 | 2016 | 44 | |
| 6 | 2008 | 39 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2005 | 26 | |
| 10 | 2021 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2021 | 16 | |
| 14 | 2018 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2012 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 7 | |
| 20 | 2024 | 7 |
About Na Ke
Na Ke is a scholar working on Cancer Research, Accounting, Molecular Biology, Genetics and Biotechnology, having authored 30 papers that have together received 617 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Cancer-related molecular mechanisms research (5 papers), Auditing, Earnings Management, Governance (5 papers), MicroRNA in disease regulation (5 papers), Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Corporate Finance and Governance (3 papers) and Financial Reporting and Valuation Research (2 papers). The work is most often cited by research in Biotechnology (57 citations), Molecular Biology (403 citations), Radiology, Nuclear Medicine and Imaging (111 citations), Cancer Research (70 citations) and Molecular Medicine (24 citations). Na Ke has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Mehmet Berkmen, Guoping Ren, Mary A. Schuler, Stephen G. Sligar, Dirk Landgraf, Johan Paulsson, Paul D. Riggs, Jon Beckwith, Paul A. Colussi and Christopher J. Noren. Their work appears in journals such as Journal of Bacteriology, Animals, Journal of Accounting and Economics, Current Protocols in Protein Science and Biochemistry.
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.