Kim C. Liu

597 citations
10 papers · 396 indexed · 1 hit paper · h-index 8
Topics
RNA and protein synthesis mechanisms (5 papers)Bacterial Genetics and Biotechnology (4 papers)CRISPR and Genetic Engineering (3 papers)

In The Last Decade

Kim C. Liu

10 papers receiving 387 citations

Hit Papers

Establishing a synthetic orthogonal replication system en...202420262025202410203040

Peers

Kim C. Liu
Comparison fields: 5 of 50
  • Molecular Biology 315
  • Genetics 74
  • Organic Chemistry 48
  • Computer Vision and Pattern Recognition 32
  • Signal Processing 25
Replace H. Kodama with:
H. Kodama Japan
Abhishek Mazumder India
Davide Alocci Switzerland
Ankita Singh India
Matteo Togninalli Switzerland
Amoolya H. Singh United States
Johannes Braun Germany
M Azoury Israel
Wai‐Kwan Tang Hong Kong
Joonsoo Lee United States
Kim C. Liu relative to H. Kodama Japan H. Kodama's profile →
Citations per field
00.5×10×15×20×22.5×
H. Kodama · 1×
Citations per year

Countries citing papers authored by Kim C. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kim C. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim C. Liu. 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 Kim C. Liu. The network helps show where Kim C. Liu may publish in the future.

Co-authorship network of co-authors of Kim C. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kim C. Liu. A scholar is included among the top collaborators of Kim C. Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim C. Liu. Kim C. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 2
3
Establishing a synthetic orthogonal replication system enables accelerated evolution in E. colibreakdown →
48
4 38
5 30
6 15
7 127
8 28
9 61
10 46

About Kim C. Liu

Kim C. Liu is a scholar working on Genetics, Molecular Biology and Signal Processing, having authored 10 papers that have together received 396 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Molecular Biology (315 citations), Genetics (74 citations) and Signal Processing (25 citations). Kim C. Liu has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Jason W. Chin, Thomas Elliott, Ketan Mayer‐Patel, Lawrence A. Rowe, Brian C. Smith, Martin Spinck, Julius Fredens, Louise F. H. Funke, Fabian B. H. Rehm and Sarah Maslen. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.

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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