Hin Hark Gan

1.6k total citations
56 papers, 1.2k citations indexed

About

Hin Hark Gan is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Hin Hark Gan has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 21 papers in Materials Chemistry and 12 papers in Biomedical Engineering. Recurrent topics in Hin Hark Gan's work include Material Dynamics and Properties (16 papers), RNA and protein synthesis mechanisms (15 papers) and Phase Equilibria and Thermodynamics (12 papers). Hin Hark Gan is often cited by papers focused on Material Dynamics and Properties (16 papers), RNA and protein synthesis mechanisms (15 papers) and Phase Equilibria and Thermodynamics (12 papers). Hin Hark Gan collaborates with scholars based in United States, Canada and United Arab Emirates. Hin Hark Gan's co-authors include Tamar Schlick, Byung Chan Eu, Kristin C. Gunsalus, Namhee Kim, Jana L. Gevertz, Julie A. Zorn, Uri Laserson, Daniela Fera, Alexander Tropsha and Alan Twaddle and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Hin Hark Gan

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hin Hark Gan United States 22 830 233 145 113 95 56 1.2k
Simon Rüdisser Switzerland 17 850 1.0× 100 0.4× 37 0.3× 26 0.2× 25 0.3× 30 1.0k
Paul W. Huber United States 22 1.0k 1.2× 42 0.2× 87 0.6× 42 0.4× 37 0.4× 82 1.5k
Michael Engels Germany 14 938 1.1× 253 1.1× 88 0.6× 17 0.2× 35 0.4× 44 1.4k
Javier Arsuaga United States 17 1.2k 1.4× 81 0.3× 182 1.3× 55 0.5× 31 0.3× 45 1.6k
Mariel Vázquez United States 17 732 0.9× 54 0.2× 156 1.1× 64 0.6× 19 0.2× 43 1.2k
R. Collins United States 24 1.5k 1.8× 262 1.1× 211 1.5× 66 0.6× 13 0.1× 73 2.5k
J.A.C. Rullmann Netherlands 15 609 0.7× 228 1.0× 75 0.5× 15 0.1× 21 0.2× 20 1.1k
Sören von Bülow Germany 16 810 1.0× 124 0.5× 86 0.6× 14 0.1× 398 4.2× 24 1.5k
B. Govinda Rao United States 18 564 0.7× 111 0.5× 35 0.2× 14 0.1× 716 7.5× 38 1.7k
D. Amorós Spain 9 500 0.6× 151 0.6× 72 0.5× 7 0.1× 31 0.3× 14 696

Countries citing papers authored by Hin Hark Gan

Since Specialization
Citations

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

Fields of papers citing papers by Hin Hark Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hin Hark Gan. 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 Hin Hark Gan. The network helps show where Hin Hark Gan may publish in the future.

Co-authorship network of co-authors of Hin Hark Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Hin Hark Gan. A scholar is included among the top collaborators of Hin Hark Gan 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 Hin Hark Gan. Hin Hark Gan 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.
Fahs, Hala, Suma Gopinadhan, Hin Hark Gan, et al.. (2025). A new class of natural anthelmintics targeting lipid metabolism. Nature Communications. 16(1). 305–305. 3 indexed citations
2.
Almeida, Miguel Vasconcelos, Emil Karaulanov, Hin Hark Gan, et al.. (2022). The Caenorhabditis elegans TDRD5/7-like protein, LOTR-1, interacts with the helicase ZNFX-1 to balance epigenetic signals in the germline. PLoS Genetics. 18(6). e1010245–e1010245. 17 indexed citations
3.
Gutwein, Michelle, Hin Hark Gan, Jia‐Xuan Chen, et al.. (2021). Novel LOTUS-domain proteins are organizational hubs that recruit C. elegans Vasa to germ granules. eLife. 10. 16 indexed citations
4.
Gan, Hin Hark, Alan Twaddle, Benoı̂t Marchand, & Kristin C. Gunsalus. (2021). Structural Modeling of the SARS-CoV-2 Spike/Human ACE2 Complex Interface can Identify High-Affinity Variants Associated with Increased Transmissibility. Journal of Molecular Biology. 433(15). 167051–167051. 55 indexed citations
5.
Flamand, Mathieu N., et al.. (2017). A non-canonical site reveals the cooperative mechanisms of microRNA-mediated silencing. Nucleic Acids Research. 45(12). 7212–7225. 45 indexed citations
6.
Gan, Hin Hark & Kristin C. Gunsalus. (2015). Assembly and analysis of eukaryotic Argonaute–RNA complexes in microRNA-target recognition. Nucleic Acids Research. 43(20). gkv990–gkv990. 16 indexed citations
7.
Gan, Hin Hark & Tamar Schlick. (2010). Chromatin Ionic Atmosphere Analyzed by a Mesoscale Electrostatic Approach. Biophysical Journal. 99(8). 2587–2596. 21 indexed citations
8.
Gan, Hin Hark, et al.. (2008). A computational screen for C/D box snoRNAs in the human genomic region associated with Prader-Willi and Angelman syndromes. Journal of Biomedical Science. 15(6). 697–705. 13 indexed citations
9.
Kim, Namhee, Hin Hark Gan, & Tamar Schlick. (2007). A computational proposal for designing structured RNA pools for in vitro selection of RNAs. RNA. 13(4). 478–492. 42 indexed citations
10.
Gevertz, Jana L., Hin Hark Gan, & Tamar Schlick. (2005). In vitro RNA random pools are not structurally diverse: A computational analysis. RNA. 11(6). 853–863. 68 indexed citations
11.
Gan, Hin Hark, Daniela Fera, Julie A. Zorn, et al.. (2004). RAG: RNA-As-Graphs database—concepts, analysis, and features. Bioinformatics. 20(8). 1285–1291. 67 indexed citations
12.
Zorn, Julie A., et al.. (2003). Structural motifs in ribosomal RNAs: Implications for RNA design and genomics. Biopolymers. 73(3). 340–347. 10 indexed citations
13.
Schlick, Tamar & Hin Hark Gan. (2002). Computational methods for macromolecules: Challenges and applications - Proceedings of the 3rd international workshop on algorithms for macromolecular modelling, New York, October 12-14, 2000. Springer eBooks. 2 indexed citations
14.
Schlick, Tamar & Hin Hark Gan. (2002). Computational Methods for Macromolecules: Challenges and Applications. CERN Document Server (European Organization for Nuclear Research). 41 indexed citations
15.
Gan, Hin Hark, Alexander Tropsha, & Tamar Schlick. (2001). Lattice protein folding with two and four-body statistical potentials. Proteins Structure Function and Bioinformatics. 43(2). 161–174. 37 indexed citations
16.
Gan, Hin Hark & Byung Chan Eu. (1998). Model protein conformations via pair correlation functions, distance matrix, and embedding algorithm. The Journal of Chemical Physics. 108(4). 1664–1675. 3 indexed citations
17.
Gan, Hin Hark & Byung Chan Eu. (1992). Theory of the nonequilibrium structure of dense simple fluids. II. High-shear-rate effects. Physical Review A. 46(10). 6344–6358. 12 indexed citations
18.
Gan, Hin Hark, et al.. (1992). On the Ornstein—Zernike relation, the BBGKY hierarchy and closures. Physica A Statistical Mechanics and its Applications. 184(1-2). 71–78. 3 indexed citations
19.
Gan, Hin Hark & Byung Chan Eu. (1992). Ornstein–Zernike derivative relations and thermodynamic functions. The Journal of Chemical Physics. 96(1). 558–564. 3 indexed citations
20.
Gan, Hin Hark & Byung Chan Eu. (1991). Integral equation of the dynamic pair-correlation function for nonequilibrium simple fluids. Physical Review A. 43(10). 5706–5709. 9 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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