K Dai

1.3k citations
12 papers · 1.0k · h-index 8

Impact in

  • Genetics top 2%
    • Bacterial Genetics and Biotechnology
    • Escherichia coli research studies

Papers in

    • RNA and protein synthesis mechanisms 4
    • CRISPR and Genetic Engineering 2
    • DNA Repair Mechanisms 1
    • Bacterial Genetics and Biotechnology 7

K Dai

12 papers receiving 1.0k citations

Peers

K Dai
Comparison fields: 5 of 72
  • Genetics 752
  • Endocrinology 95
  • Ecology 375
  • Molecular Biology 771
  • Molecular Medicine 55
Replace Felipe O. Bendezú with:
Felipe O. Bendezú Switzerland
Shinobu Chiba Japan
A. Wali Karzai United States
Nienke Buddelmeijer France
Andrea Muffler Germany
Daniel P. Haeusser United States
Godefroid Charbon Denmark
Briana M. Burton United States
Kurt Rehn Germany
Simi Koby Israel
K Dai relative to Felipe O. Bendezú Switzerland Felipe O. Bendezú's profile →
Citations per field
00.5×1.6×
Felipe O. Bendezú · 1×
Citations per year

Countries citing papers authored by K Dai

Since Specialization
Citations

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

Fields of papers citing papers by K Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside K Dai, 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 K Dai Line = papers co-authored together K Dai links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1993272
2 1991241
3 1992221
4 1993110
5 199492
6 199670
7 199130
8 20088
9 20122
10 20171
11 20111
12 20241

About K Dai

K Dai is a scholar working on Molecular Biology, Genetics, Ecology, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (4 papers), Bacteriophages and microbial interactions (3 papers), Wireless Communication Networks Research (2 papers), Atomic and Subatomic Physics Research (2 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), CRISPR and Genetic Engineering (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (752 citations), Endocrinology (95 citations), Ecology (375 citations), Molecular Biology (771 citations) and Molecular Medicine (55 citations). K Dai has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Joe Lutkenhaus, Amit Mukherjee, Yifan Xu, Yifan Xu, Bernard Beall, Erfei Bi, Kenichi Higuchi, Mamoru Sawahashi, Hidekazu Taoka and Jie Chen. Their work appears in journals such as Journal of Bacteriology, IEEE Journal on Selected Areas in Communications, Research in Microbiology, Proceedings of the National Academy of Sciences and Advanced materials research.

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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