Nansook Hong

568 total citations
10 papers, 386 citations indexed

About

Nansook Hong is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Nansook Hong has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Nansook Hong's work include Protein Structure and Dynamics (3 papers), Evolution and Genetic Dynamics (2 papers) and Enzyme Structure and Function (2 papers). Nansook Hong is often cited by papers focused on Protein Structure and Dynamics (3 papers), Evolution and Genetic Dynamics (2 papers) and Enzyme Structure and Function (2 papers). Nansook Hong collaborates with scholars based in Australia, Sweden and Canada. Nansook Hong's co-authors include Colin J. Jackson, Nobuhiko Tokuriki, Florian Baier, Shina Caroline Lynn Kamerlin, Paul D. Carr, Ashley M. Buckle, Matthew A. Spence, Matthew Wilding, Dave W. Anderson and Elias Dohmen and has published in prestigious journals such as Nature Communications, Biochemistry and Nature Chemical Biology.

In The Last Decade

Nansook Hong

10 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nansook Hong Australia 9 295 68 66 61 26 10 386
E.C. Campbell Australia 6 343 1.2× 85 1.3× 106 1.6× 49 0.8× 12 0.5× 8 428
Cindy Schulenburg Switzerland 12 221 0.7× 32 0.5× 104 1.6× 72 1.2× 50 1.9× 15 369
Mikko Laitaoja Finland 8 209 0.7× 21 0.3× 60 0.9× 42 0.7× 21 0.8× 16 346
Keng Zhu United States 13 266 0.9× 44 0.6× 22 0.3× 50 0.8× 35 1.3× 13 426
Antonín Kunka Czechia 11 327 1.1× 25 0.4× 78 1.2× 60 1.0× 26 1.0× 19 431
Nikolay B. Poliansky Russia 9 314 1.1× 34 0.5× 104 1.6× 42 0.7× 26 1.0× 14 427
Mitsugu Yamada Japan 12 225 0.8× 66 1.0× 116 1.8× 23 0.4× 8 0.3× 22 433
Joe A. Kaczmarski Australia 13 434 1.5× 31 0.5× 77 1.2× 37 0.6× 26 1.0× 22 571
Justin Acheson United States 9 358 1.2× 30 0.4× 48 0.7× 52 0.9× 35 1.3× 13 503
Shingo Nozaki Japan 11 271 0.9× 113 1.7× 40 0.6× 21 0.3× 6 0.2× 14 327

Countries citing papers authored by Nansook Hong

Since Specialization
Citations

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

Fields of papers citing papers by Nansook Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nansook Hong

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

All Works

10 of 10 papers shown
1.
Wang, Yi, Nansook Hong, Li Lynn Tan, et al.. (2023). Hydrogel oxygen reservoirs increase functional integration of neural stem cell grafts by meeting metabolic demands. Nature Communications. 14(1). 457–457. 40 indexed citations
2.
Hong, Nansook, et al.. (2022). Computational design and experimental characterisation of a stable human heparanase variant. RSC Chemical Biology. 3(3). 341–349. 7 indexed citations
3.
Baier, Florian, Nansook Hong, Anna Pabis, et al.. (2019). Cryptic genetic variation shapes the adaptive evolutionary potential of enzymes. eLife. 8. 34 indexed citations
4.
Anderson, Dave W., Florian Baier, Elias Dohmen, et al.. (2019). Higher-order epistasis shapes the fitness landscape of a xenobiotic-degrading enzyme. Nature Chemical Biology. 15(11). 1120–1128. 70 indexed citations
5.
Kaczmarski, Joe A., Nansook Hong, Bratati Mukherjee, et al.. (2019). Structural Basis for the Allosteric Regulation of the SbtA Bicarbonate Transporter by the P II -like Protein, SbtB, from Cyanobium sp. PCC7001. Biochemistry. 58(50). 5030–5039. 24 indexed citations
6.
Wilding, Matthew, Nansook Hong, Matthew A. Spence, Ashley M. Buckle, & Colin J. Jackson. (2019). Protein engineering: the potential of remote mutations. Biochemical Society Transactions. 47(2). 701–711. 72 indexed citations
7.
Hong, Nansook, Dušan Petrović, Richmond Lee, et al.. (2018). The evolution of multiple active site configurations in a designed enzyme. Nature Communications. 9(1). 3900–3900. 73 indexed citations
8.
Hong, Nansook, et al.. (2016). Conformational Tinkering Drives Evolution of a Promiscuous Activity through Indirect Mutational Effects. Biochemistry. 55(32). 4583–4593. 43 indexed citations
9.
Hong, Nansook, et al.. (2011). Rapid and accurate determination of deoxyribonucleoside monophosphates from DNA using micellar electrokinetic chromatography with a cationic surfactant additive. Analytical and Bioanalytical Chemistry. 400(7). 2131–2140. 12 indexed citations
10.
Hong, Nansook, et al.. (2009). Count-based quantitation of trace level macro-DNA molecules. Metrologia. 46(3). 375–387. 11 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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