Guoying Qi

14.6k total citations
9 papers, 455 citations indexed

About

Guoying Qi is a scholar working on Molecular Biology, Materials Chemistry and Information Systems and Management. According to data from OpenAlex, Guoying Qi has authored 9 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Materials Chemistry and 1 paper in Information Systems and Management. Recurrent topics in Guoying Qi's work include Protein Structure and Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers) and Enzyme Structure and Function (5 papers). Guoying Qi is often cited by papers focused on Protein Structure and Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers) and Enzyme Structure and Function (5 papers). Guoying Qi collaborates with scholars based in United Kingdom and Japan. Guoying Qi's co-authors include Steven Hayward, María Martin, Claire O’Donovan, Aleksandras Gutmanas, Jose M Dana, Sameer Velankar, Nidhi Tyagi, Catherine Snow, James D. Watson and Ricardo Antunes and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Guoying Qi

9 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guoying Qi United Kingdom	9	393	143	56	54	38	9	455
Gert Vriend United Kingdom	7	448 1.1×	217 1.5×	60 1.1×	52 1.0×	41 1.1×	9	538
Amanda L. Jonsson United States	10	448 1.1×	187 1.3×	58 1.0×	24 0.4×	12 0.3×	15	504
Thomas J. Oldfield United Kingdom	10	595 1.5×	246 1.7×	66 1.2×	102 1.9×	53 1.4×	18	692
Naomi K. Fox United States	7	766 1.9×	226 1.6×	33 0.6×	98 1.8×	39 1.0×	9	855
Kumaran Baskaran United States	8	268 0.7×	89 0.6×	73 1.3×	36 0.7×	9 0.2×	13	334
Zeynep Kurkcuoglu Türkiye	11	337 0.9×	111 0.8×	30 0.5×	72 1.3×	33 0.9×	15	414
Alexey Mishin Russia	14	322 0.8×	99 0.7×	36 0.6×	41 0.8×	23 0.6×	37	436
Brinda Vallat United States	13	337 0.9×	129 0.9×	30 0.5×	36 0.7×	7 0.2×	24	464
Janice Villali United States	8	358 0.9×	85 0.6×	75 1.3×	43 0.8×	52 1.4×	9	422
Gordana Apic Germany	11	699 1.8×	98 0.7×	34 0.6×	84 1.6×	81 2.1×	14	797

Countries citing papers authored by Guoying Qi

Since Specialization

Citations

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

Fields of papers citing papers by Guoying Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoying Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Guoying Qi. A scholar is included among the top collaborators of Guoying Qi 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 Guoying Qi. Guoying Qi 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:

9 of 9 papers shown

1.

Dana, Jose M, Aleksandras Gutmanas, Nidhi Tyagi, et al.. (2018). SIFTS: updated Structure Integration with Function, Taxonomy and Sequences resource allows 40-fold increase in coverage of structure-based annotations for proteins. Nucleic Acids Research. 47(D1). D482–D489. 158 indexed citations

2.

Nightingale, Andrew, Ricardo Antunes, Emanuele Alpi, et al.. (2017). The Proteins API: accessing key integrated protein and genome information. Nucleic Acids Research. 45(W1). W539–W544. 57 indexed citations

3.

Abnizova, Irina, Steven Leonard, David K. Jackson, et al.. (2012). ANALYSIS OF CONTEXT-DEPENDENT ERRORS FOR ILLUMINA SEQUENCING. Journal of Bioinformatics and Computational Biology. 10(2). 1241005–1241005. 16 indexed citations

4.

Clapham, Peter, et al.. (2011). Implementing a genomic data management system using iRODS in the Wellcome Trust Sanger Institute. BMC Bioinformatics. 12(1). 361–361. 23 indexed citations

5.

Qi, Guoying & Steven Hayward. (2009). Database of ligand-induced domain movements in enzymes. BMC Structural Biology. 9(1). 13–13. 28 indexed citations

6.

Nishima, Wataru, Guoying Qi, Steven Hayward, & Akio Kitao. (2009). DTA: dihedral transition analysis for characterization of the effects of large main-chain dihedral changes in proteins. Bioinformatics. 25(5). 628–635. 17 indexed citations

7.

Snow, Catherine, Guoying Qi, & Steven Hayward. (2007). Essential dynamics sampling study of adenylate kinase: Comparison to citrate synthase and implication for the hinge and shear mechanisms of domain motions. Proteins Structure Function and Bioinformatics. 67(2). 325–337. 38 indexed citations

8.

Watson, James D., et al.. (2006). Amyloid Formation May Involve α- to β Sheet Interconversion via Peptide Plane Flipping. Structure. 14(9). 1369–1376. 47 indexed citations

9.

Qi, Guoying, et al.. (2005). A comprehensive and non-redundant database of protein domain movements. Computer applications in the biosciences. 21(12). 2832–2838. 71 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.

Explore authors with similar magnitude of impact