Jin Liu

3.8k total citations
80 papers, 2.4k citations indexed

About

Jin Liu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Jin Liu has authored 80 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 8 papers in Spectroscopy. Recurrent topics in Jin Liu's work include CRISPR and Genetic Engineering (21 papers), Advanced biosensing and bioanalysis techniques (15 papers) and RNA and protein synthesis mechanisms (13 papers). Jin Liu is often cited by papers focused on CRISPR and Genetic Engineering (21 papers), Advanced biosensing and bioanalysis techniques (15 papers) and RNA and protein synthesis mechanisms (13 papers). Jin Liu collaborates with scholars based in United States, China and Netherlands. Jin Liu's co-authors include Ruth Nussinov, Zhicheng Zuo, John C. Conboy, Christopher M. Hadad, Chung‐Jung Tsai, Matthew S. Platz, Manuel A.F.V. Gonçalves, Josephine M. Janssen, Dejian Ren and Jingsheng Xia and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jin Liu

76 papers receiving 2.4k citations

Peers

Jin Liu

GENET

AMPO

Carlos A. Castañeda United States

Hui Sun Lee United States

Ran Friedman Sweden

Elin K. Esbjörner Sweden

Douglas V. Laurents Spain

Jennifer L. Miller United States

David Dotson United States

Jarosław Poznański Poland

Yunyu Shi China

Daniel G. Isom United States

Carlos A. Castañeda United States

Jin Liu

2.1k ×1.1

195 ×0.8

GENET

203 ×1.0

209 ×1.0

166 ×0.9

AMPO

Citations per year, relative to Jin Liu Jin Liu (= 1×) peers Carlos A. Castañeda

Countries citing papers authored by Jin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Liu

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

All Works

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20 of 20 papers shown

Wang, Shouyi, et al.. (2024). Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum. Journal of Chemical Information and Modeling. 64(12). 4897–4911. 3 indexed citations

Van, Richard, Xiaoliang Pan, Jin Liu, et al.. (2024). Exploring CRISPR-Cas9 HNH-Domain-Catalyzed DNA Cleavage Using Accelerated Quantum Mechanical Molecular Mechanical Free Energy Simulation. Biochemistry. 64(1). 289–299. 3 indexed citations

Qin, Peter Z., et al.. (2023). Differential Divalent Metal Binding by SpyCas9's RuvC Active Site Contributes to Nonspecific DNA Cleavage. The CRISPR Journal. 6(6). 527–542. 3 indexed citations

Liu, Jin, et al.. (2022). Sparse group selection and analysis offunction‐relatedresidue forprotein‐staterecognition. Journal of Computational Chemistry. 43(20). 1342–1354.

Zhao, Huilin, et al.. (2022). Virtual screening and molecular dynamics simulation for identification of natural antiviral agents targeting SARS-CoV-2 NSP10. Biochemical and Biophysical Research Communications. 626. 114–120. 2 indexed citations

Zuo, Zhicheng, et al.. (2022). Rational Engineering of CRISPR-Cas9 Nuclease to Attenuate Position-Dependent Off-Target Effects. The CRISPR Journal. 5(2). 329–340. 19 indexed citations

Babu, Kesavan, et al.. (2021). Coordinated Actions of Cas9 HNH and RuvC Nuclease Domains Are Regulated by the Bridge Helix and the Target DNA Sequence. Biochemistry. 60(49). 3783–3800. 27 indexed citations

Wang, Bo, Jin Liu, Suzhen Wu, et al.. (2021). Development of MDM2 degraders based on ligands derived from Ugi reactions: Lessons and discoveries. European Journal of Medicinal Chemistry. 219. 113425–113425. 55 indexed citations

Collias, Daphne, Ryan T. Leenay, Rebecca Slotkowski, et al.. (2020). A positive, growth-based PAM screen identifies noncanonical motifs recognized by the S. pyogenes Cas9. Science Advances. 6(29). eabb4054–eabb4054. 22 indexed citations

10.

Zuo, Zhicheng, Rachel Smith, Zhenglan Chen, et al.. (2018). Identification of a unique Ca2+-binding site in rat acid-sensing ion channel 3. Nature Communications. 9(1). 2082–2082. 25 indexed citations

11.

Wu, Shaowen, Dongdong Wang, Jin Liu, et al.. (2017). The Dynamic Multisite Interactions between Two Intrinsically Disordered Proteins. Angewandte Chemie International Edition. 56(26). 7515–7519. 40 indexed citations

12.

Qian, Guanghui, Ying Ren, Yibo Zuo, et al.. (2016). Smurf1 represses TNF-α production through ubiquitination and destabilization of USP5. Biochemical and Biophysical Research Communications. 474(3). 491–496. 14 indexed citations

13.

Zuo, Zhicheng & Jin Liu. (2016). Cas9-catalyzed DNA Cleavage Generates Staggered Ends: Evidence from Molecular Dynamics Simulations. Scientific Reports. 6(1). 37584–37584. 97 indexed citations

14.

Liu, Jin & Ruth Nussinov. (2012). The role of allostery in the ubiquitin–proteasome system. Critical Reviews in Biochemistry and Molecular Biology. 48(2). 89–97. 28 indexed citations

15.

Liu, Jin, et al.. (2012). Mesoscale simulations of curvature-inducing protein partitioning on lipid bilayer membranes in the presence of mean curvature fields. Molecular Physics. 110(11-12). 1127–1137. 23 indexed citations

16.

Liu, Jin & Ruth Nussinov. (2011). Flexible Cullins in Cullin-RING E3 Ligases Allosterically Regulate Ubiquitination. Journal of Biological Chemistry. 286(47). 40934–40942. 44 indexed citations

17.

Liu, Jin & Ruth Nussinov. (2010). Rbx1 Flexible Linker Facilitates Cullin-RING Ligase Function Before Neddylation and After Deneddylation. Biophysical Journal. 99(3). 736–744. 20 indexed citations

18.

Yang, Yanwu, Qing‐xin Hua, Jin Liu, et al.. (2010). Solution Structure of Proinsulin. Journal of Biological Chemistry. 285(11). 7847–7851. 58 indexed citations

19.

Liu, Jin, et al.. (2009). Centrosome attachment to the C. elegans male pronucleus is dependent on the surface area of the nuclear envelope. Developmental Biology. 327(2). 433–446. 40 indexed citations

20.

Liu, Jin & John C. Conboy. (2008). Phase behavior of planar supported lipid membranes composed of cholesterol and 1,2-distearoyl-sn-glycerol-3-phosphocholine examined by sum-frequency vibrational spectroscopy. Vibrational Spectroscopy. 50(1). 106–115. 27 indexed citations

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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