Ji Guo Su

1.1k total citations
28 papers, 660 citations indexed

About

Ji Guo Su is a scholar working on Molecular Biology, Infectious Diseases and Materials Chemistry. According to data from OpenAlex, Ji Guo Su has authored 28 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Infectious Diseases and 6 papers in Materials Chemistry. Recurrent topics in Ji Guo Su's work include Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (6 papers) and Viral gastroenteritis research and epidemiology (4 papers). Ji Guo Su is often cited by papers focused on Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (6 papers) and Viral gastroenteritis research and epidemiology (4 papers). Ji Guo Su collaborates with scholars based in China, Japan and Italy. Ji Guo Su's co-authors include Wei Zu Chen, Cun Xin Wang, Seong Gyu Jeon, Hirokazu Tsuji, Hiroshi Kiyono, Hiroki Yoshida, Masahiro Yamamoto, Takuya Takahashi, Noriko M. Tsuji and Ryu Okumura and has published in prestigious journals such as Science, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

Ji Guo Su

28 papers receiving 645 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ji Guo Su China 12 463 138 99 78 77 28 660
Tim Geppert Switzerland 14 464 1.0× 75 0.5× 62 0.6× 53 0.7× 43 0.6× 23 877
Maria Kornienko Russia 13 439 0.9× 117 0.8× 26 0.3× 37 0.5× 39 0.5× 38 680
Matthieu Pichaud United States 10 458 1.0× 51 0.4× 46 0.5× 65 0.8× 113 1.5× 11 596
Ritesh Kumar United States 16 604 1.3× 88 0.6× 33 0.3× 79 1.0× 99 1.3× 38 920
Sunil Kumar Tripathi India 18 384 0.8× 98 0.7× 52 0.5× 150 1.9× 44 0.6× 54 1.1k
Mariana T. Q. de Magalhães Brazil 16 465 1.0× 124 0.9× 18 0.2× 36 0.5× 29 0.4× 46 766
János András Mótyán Hungary 12 338 0.7× 165 1.2× 36 0.4× 26 0.3× 16 0.2× 45 648
Yuan‐Chao Lou Taiwan 13 231 0.5× 152 1.1× 18 0.2× 77 1.0× 25 0.3× 33 474
Nathanael A. Caveney United States 13 255 0.6× 114 0.8× 18 0.2× 121 1.6× 39 0.5× 25 581
Surendra S. Negi United States 20 401 0.9× 130 0.9× 23 0.2× 57 0.7× 43 0.6× 35 912

Countries citing papers authored by Ji Guo Su

Since Specialization
Citations

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

Fields of papers citing papers by Ji Guo Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Guo Su. 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 Ji Guo Su. The network helps show where Ji Guo Su may publish in the future.

Co-authorship network of co-authors of Ji Guo Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Guo Su. A scholar is included among the top collaborators of Ji Guo Su 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 Ji Guo Su. Ji Guo Su 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
1.
Yú, Liang, Ning Liu, Hao Zhang, et al.. (2024). Mutating a flexible region of the RSV F protein can stabilize the prefusion conformation. Science. 385(6716). 1484–1491. 11 indexed citations
2.
Li, Shanshan, et al.. (2024). Prediction of mutation-induced protein stability changes based on the geometric representations learned by a self-supervised method. BMC Bioinformatics. 25(1). 282–282. 3 indexed citations
3.
Shao, Shuai, Xuefeng Zhang, Jun Hou, et al.. (2024). Design of hepadnavirus core protein-based chimeric virus-like particles carrying epitopes from respiratory syncytial virus. npj Vaccines. 9(1). 62–62. 3 indexed citations
4.
Jin, Yu, Xuefeng Zhang, Fang Tang, et al.. (2023). Chimeric virus-like particles of human norovirus constructed by structure-guided epitope grafting elicit cross-reactive immunity against both GI.1 and GII.4 genotypes. Journal of Virology. 97(10). e0093823–e0093823. 2 indexed citations
5.
Zhang, Xuefeng, et al.. (2023). Identification of key mutations responsible for the enhancement of receptor-binding affinity and immune escape of SARS-CoV-2 Omicron variant. Journal of Molecular Graphics and Modelling. 124. 108540–108540. 10 indexed citations
6.
7.
Liang, Yu, Jing Zhang, Fang Tang, et al.. (2021). Evolution of the interactions between GII.4 noroviruses and histo-blood group antigens: Insights from experimental and computational studies. PLoS Pathogens. 17(7). e1009745–e1009745. 11 indexed citations
8.
Su, Ji Guo, et al.. (2015). Analysis of conformational motions and related key residue interactions responsible for a specific function of proteins with elastic network model. Journal of Biomolecular Structure and Dynamics. 34(3). 560–571. 11 indexed citations
9.
Su, Ji Guo, et al.. (2014). Prediction of allosteric sites on protein surfaces with an elastic-network-model-based thermodynamic method. Physical Review E. 90(2). 22719–22719. 18 indexed citations
10.
11.
Xu, Xianjin, Ji Guo Su, Anna Rita Bizzarri, et al.. (2013). Detection of persistent organic pollutants binding modes with androgen receptor ligand binding domain by docking and molecular dynamics. BMC Structural Biology. 13(1). 16–16. 9 indexed citations
12.
Jeon, Seong Gyu, Hisako Kayama, Yoshiyasu Ueda, et al.. (2012). Probiotic Bifidobacterium breve Induces IL-10-Producing Tr1 Cells in the Colon. PLoS Pathogens. 8(5). e1002714–e1002714. 273 indexed citations
13.
Su, Ji Guo, et al.. (2011). An Analysis of the Influence of Protein Intrinsic Dynamical Properties on its Thermal Unfolding Behavior. Journal of Biomolecular Structure and Dynamics. 29(1). 105–121. 9 indexed citations
14.
Su, Ji Guo, et al.. (2011). A new residue‐nucleotide propensity potential with structural information considered for discriminating protein‐RNA docking decoys. Proteins Structure Function and Bioinformatics. 80(1). 14–24. 38 indexed citations
15.
Su, Ji Guo, et al.. (2011). Identification of key residues for protein conformational transition using elastic network model. The Journal of Chemical Physics. 135(17). 174101–174101. 22 indexed citations
16.
Su, Ji Guo, Wei Zu Chen, & Cun Xin Wang. (2010). Role of electrostatic interactions for the stability and folding behavior of cold shock protein. Proteins Structure Function and Bioinformatics. 78(9). NA–NA. 7 indexed citations
17.
Liu, Ming, Ji Guo Su, Ren Kong, et al.. (2008). Molecular dynamics simulations of the bacterial periplasmic heme binding proteins ShuT and PhuT. Biophysical Chemistry. 138(1-2). 42–49. 16 indexed citations
18.
Su, Ji Guo, et al.. (2008). Protein Unfolding Behavior Studied by Elastic Network Model. Biophysical Journal. 94(12). 4586–4596. 40 indexed citations
19.
Hu, Jianping, et al.. (2007). Study on the molecular mechanism of inhibiting HIV-1 integrase by EBR28 peptide via molecular modeling approach. Biophysical Chemistry. 132(2-3). 69–80. 19 indexed citations
20.
Su, Ji Guo, et al.. (2006). Analysis of Domain Movements in Glutamine-Binding Protein with Simple Models. Biophysical Journal. 92(4). 1326–1335. 31 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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