Fuxiao Xin

1.7k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

Fuxiao Xin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fuxiao Xin has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Fuxiao Xin's work include RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (3 papers). Fuxiao Xin is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (3 papers). Fuxiao Xin collaborates with scholars based in United States, United Kingdom and Russia. Fuxiao Xin's co-authors include Predrag Radivojac, Sean D. Mooney, D.N. Cooper, Vidhya G. Krishnan, Biao Li, Matthew Mort, Vladimir N. Uversky, Vikas Pejaver, Wei‐Lun Hsu and A. Keith Dunker and has published in prestigious journals such as Bioinformatics, Trends in Biochemical Sciences and BMC Bioinformatics.

In The Last Decade

Fuxiao Xin

9 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automated inference of molecular mechanisms of disease from amino acid substitutions

2009 623 citations Biao Li, Vidhya G. Krishnan et al. Bioinformatics profile →

Peers

Fuxiao Xin

MB

GENET

CR

CB

MC

Remo Calabrese Italy

Catherine L. Worth Germany

Inigo Barrio‐Hernandez United Kingdom

Najeeb Halabi Qatar

Fulai Jin United States

Martin Augustin Germany

Anna Malovannaya United States

Ivana Mihalek United States

Andrew B. Stergachis United States

Anthony A. High United States

Remo Calabrese Italy

Fuxiao Xin

1.2k ×1.1

MB

634 ×2.0

GENET

118 ×0.7

CR

127 ×1.4

CB

56 ×0.6

MC

Citations per year, relative to Fuxiao Xin Fuxiao Xin (= 1×) peers Remo Calabrese

Countries citing papers authored by Fuxiao Xin

Since Specialization

Citations

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

Fields of papers citing papers by Fuxiao Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuxiao Xin

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Xin, Fuxiao, Meng Li, Kenneth P. Nephew, et al.. (2020). Computational analysis of microRNA profiles and their target genes suggests significant involvement in breast cancer antiestrogen resistance. UNC Libraries.

2.

Pejaver, Vikas, Wei‐Lun Hsu, Fuxiao Xin, et al.. (2014). The structural and functional signatures of proteins that undergo multiple events of post‐translational modification. Protein Science. 23(8). 1077–1093. 280 indexed citations

3.

Bagchi, Angshuman, Matthew Mort, Biao Li, et al.. (2013). Analysis of Features from Protein-protein Hetero-complex Structures to Predict Protein Interaction Interfaces Using Machine Learning. Procedia Technology. 10. 62–66. 1 indexed citations

4.

Nussinov, Ruth, Chung‐Jung Tsai, Fuxiao Xin, & Predrag Radivojac. (2012). Allosteric post-translational modification codes. Trends in Biochemical Sciences. 37(10). 447–455. 178 indexed citations

5.

Xin, Fuxiao & Predrag Radivojac. (2012). Post-translational modifications induce significant yet not extreme changes to protein structure. Bioinformatics. 28(22). 2905–2913. 105 indexed citations

6.

Xin, Fuxiao & Predrag Radivojac. (2011). Computational Methods for Identification of Functional Residues in Protein Structures. Current Protein and Peptide Science. 12(6). 456–469. 21 indexed citations

7.

Xin, Fuxiao, Steven Myers, Yong Fuga Li, et al.. (2010). Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease. BMC Bioinformatics. 11(S10). 7 indexed citations

8.

Xin, Fuxiao, Steven Myers, Yong Fuga Li, et al.. (2010). Structure-based kernels for the prediction of catalytic residues and their involvement in human inherited disease. Bioinformatics. 26(16). 1975–1982. 12 indexed citations

9.

Li, Biao, Vidhya G. Krishnan, Matthew Mort, et al.. (2009). Automated inference of molecular mechanisms of disease from amino acid substitutions. Bioinformatics. 25(21). 2744–2750. 623 indexed citations breakdown →

10.

Xin, Fuxiao, Meng Li, Curt Balch, et al.. (2008). Computational analysis of microRNA profiles and their target genes suggests significant involvement in breast cancer antiestrogen resistance. Bioinformatics. 25(4). 430–434. 96 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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