Huanting Liu
- Endocrinology top 2%
- Molecular Biology top 2%
- CRISPR and Genetic Engineering 11
- DNA Repair Mechanisms 7
- RNA and protein synthesis mechanisms 7
- Biochemical and Molecular Research 5
- Genetics top 5%
- Bacterial Genetics and Biotechnology 13
- Biotechnology top 5%
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- Enzyme Structure and Function 15
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- Plant Virus Research Studies 8
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- Bacteriophages and microbial interactions 6
- Co-authors
- James H. NaismithMalcolm F. WhiteS.A. McMahonM. OkeKenneth A. JohnsonShirley GrahamRonald T. HayChangjiang Dong
- Journals
- Journal of Molecular Biology (5 papers)Chemical Communications (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Huanting Liu
54 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology 234
- Molecular Biology 2.6k
- Genetics 601
- Biotechnology 186
- Business and International Management 37
Countries citing papers authored by Huanting Liu
This map shows the geographic impact of Huanting 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 Huanting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanting Liu more than expected).
Fields of papers citing papers by Huanting Liu
This network shows the impact of papers produced by Huanting 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 Huanting Liu. The network helps show where Huanting Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huanting Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 11 | |
| 2 | 2019 | 116 | |
| 3 | 2016 | 44 | |
| 4 | 2015 | 8 | |
| 5 | 2014 | 53 | |
| 6 | 2014 | 10 | |
| 7 | 2013 | 23 | |
| 8 | 2011 | 160 | |
| 9 | 2010 | 35 | |
| 10 | 2009 | 63 | |
| 11 | 2009 | 25 | |
| 12 | 2008 | 24 | |
| 13 | 2008 | 42 | |
| 14 | 2008 | 1 | |
| 15 | 2008 | 106 | |
| 16 | 2007 | 3 | |
| 17 | 2007 | 75 | |
| 18 | 2005 | 75 | |
| 19 | 2005 | 91 | |
| 20 | 2001 | 25 |
About Huanting Liu
Huanting Liu is a scholar working on Endocrinology, Molecular Biology and Genetics, having authored 54 papers that have together received 3.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), Bacterial Genetics and Biotechnology (13 papers), CRISPR and Genetic Engineering (11 papers), Plant Virus Research Studies (8 papers), DNA Repair Mechanisms (7 papers), RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (6 papers) and Biochemical and Molecular Research (5 papers). The work is most often cited by research in Endocrinology (234 citations), Molecular Biology (2.6k citations) and Genetics (601 citations). Huanting Liu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include James H. Naismith, Malcolm F. White, S.A. McMahon, M. Oke, Kenneth A. Johnson, Shirley Graham, Ronald T. Hay, Changjiang Dong, Melina Kerou and Lester Carter. Their work appears in journals such as Journal of Molecular Biology, Chemical Communications, Journal of Biological Chemistry, Biochemical Journal and Journal of Virology.
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.