Shihui Liu

6.3k total citations
124 papers, 4.6k citations indexed

About

Shihui Liu is a scholar working on Molecular Biology, Biotechnology and Genetics. According to data from OpenAlex, Shihui Liu has authored 124 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 41 papers in Biotechnology and 34 papers in Genetics. Recurrent topics in Shihui Liu's work include Bacillus and Francisella bacterial research (72 papers), Microbial Inactivation Methods (32 papers) and Bacterial Genetics and Biotechnology (26 papers). Shihui Liu is often cited by papers focused on Bacillus and Francisella bacterial research (72 papers), Microbial Inactivation Methods (32 papers) and Bacterial Genetics and Biotechnology (26 papers). Shihui Liu collaborates with scholars based in United States, China and Denmark. Shihui Liu's co-authors include Stephen H. Leppla, Mahtab Moayeri, Thomas Bugge, Rasem Fattah, Pierre Cosson, Laurence Abrami, Gijs R. van den Brink, Inka Sastalla, Devorah Crown and Zachary L. Newman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Shihui Liu

120 papers receiving 4.5k citations

Peers

Shihui Liu
Comparison fields: 5 of 146
  • Molecular Biology 3.6k
  • Genetics 1.2k
  • Biotechnology 1000
  • Immunology 879
  • Ecology 379
Replace Cary Queen with:
Cary Queen United States
Dominic Esposito United States
James L. Hartley United States
Ulrich M. Lauer Germany
Yosef Shaul Israel
Brian G. Pierce United States
Roberto Weinmann United States
Willem P.C. Stemmer United States
Hans H. Wandall Denmark
Sonia Laı́n United Kingdom
Cary Queen United States View profile →
Citations per field, relative to Shihui Liu
Shihui Liu · 1×
Citations per year, relative to Shihui Liu
Shihui Liu · 1×

Countries citing papers authored by Shihui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shihui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihui Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shihui Liu. A scholar is included among the top collaborators of Shihui 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 Shihui Liu. Shihui Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 3
3 7
4 8
5 19
6 35
7 20
8 9
9
NK-4 dye reduces the apoptosis of photoreceptor cells
3
10 23
11 72
12 26
13 118
14 16
15 16
16 24
17 31
18 50
19 133
20 383

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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