Na Ke

930 citations
37 papers · 612 · h-index 13

Impact in

    • Transgenic Plants and Applications
    • Protein purification and stability
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • Protein purification and stability 4
    • Auditing, Earnings Management, Governance 6
    • Corporate Finance and Governance 6

Na Ke

36 papers receiving 598 citations

Peers

Na Ke
Comparison fields: 5 of 100
  • Biotechnology 51
  • Molecular Biology 390
  • Radiology, Nuclear Medicine and Imaging 106
  • Cancer Research 69
  • Molecular Medicine 24
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John E. Mott United States
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Na Ke relative to Nancy Su United States Nancy Su's profile →
Citations per field
00.5×4.4×
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Citations per year

Countries citing papers authored by Na Ke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Na Ke Line = papers co-authored together Na Ke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201595
2 201473
3 201548
4 201644
5 201642
6 202036
7 200834
8 202028
9 200525
10 202119
11 202019
12 201919
13 202114
14 201810
15 202110
16 202010
17 201210
18 201810
19
[A new species of the genus Phenylobacterium for the degradation of LAS (linear alkylbenzene sulfonate)].
20038
20 20197

About Na Ke

Na Ke is a scholar working on Molecular Biology, Accounting, Genetics, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 612 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (6 papers), Corporate Finance and Governance (6 papers), Bacterial Genetics and Biotechnology (5 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (4 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Biotechnology (51 citations), Molecular Biology (390 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Cancer Research (69 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, Dirk Landgraf, Paul Riggs, Stephen G. Sligar, Mary A. Schuler, Johan Paulsson, Jon Beckwith, Paul A. Colussi and Yuzhu Luo. Their work appears in journals such as Journal of Bacteriology, Animals, Applied Microbiology and Biotechnology, Archives of Biochemistry and Biophysics and Process 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.

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