Isaac Wong

7.0k total citations
25 papers, 1.6k citations indexed

About

Isaac Wong is a scholar working on Molecular Biology, Genetics and Virology. According to data from OpenAlex, Isaac Wong has authored 25 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Virology. Recurrent topics in Isaac Wong's work include DNA Repair Mechanisms (10 papers), DNA and Nucleic Acid Chemistry (10 papers) and Bacterial Genetics and Biotechnology (5 papers). Isaac Wong is often cited by papers focused on DNA Repair Mechanisms (10 papers), DNA and Nucleic Acid Chemistry (10 papers) and Bacterial Genetics and Biotechnology (5 papers). Isaac Wong collaborates with scholars based in United States, India and Hong Kong. Isaac Wong's co-authors include Kenneth A. Johnson, Smita S. Patel, Timothy M. Lohman, Jamie K. Miller, Wlodzimierz Bujalowski, Keith P. Bjornson, Dale W. Mosbaugh, Anna Marie Skalka, Hong Wang and Mohan Amaratunga and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Isaac Wong

24 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isaac Wong United States 17 1.3k 443 210 147 124 25 1.6k
Samuel E. Butcher United States 38 3.6k 2.6× 303 0.7× 106 0.5× 112 0.8× 274 2.2× 85 3.8k
Richard L. Karpel United States 23 1.4k 1.1× 313 0.7× 178 0.8× 235 1.6× 224 1.8× 46 1.8k
John F. Milligan United States 13 3.7k 2.7× 482 1.1× 193 0.9× 155 1.1× 456 3.7× 16 4.0k
Arnold Hampel United States 24 2.0k 1.5× 243 0.5× 113 0.5× 198 1.3× 243 2.0× 61 2.3k
Y. Whitney Yin United States 22 1.5k 1.1× 312 0.7× 147 0.7× 60 0.4× 185 1.5× 45 1.8k
Catherine M. Joyce United States 30 2.8k 2.1× 760 1.7× 389 1.9× 151 1.0× 370 3.0× 45 3.1k
James A. McSwiggen United States 18 1.8k 1.4× 494 1.1× 85 0.4× 64 0.4× 254 2.0× 24 2.0k
Martha J. Fedor United States 28 2.7k 2.0× 381 0.9× 84 0.4× 26 0.2× 251 2.0× 45 2.8k
Jane A. Grasby United Kingdom 24 1.7k 1.3× 243 0.5× 61 0.3× 66 0.4× 132 1.1× 60 1.8k
Leonid Beigelman United States 27 1.8k 1.4× 107 0.2× 252 1.2× 51 0.3× 133 1.1× 100 2.3k

Countries citing papers authored by Isaac Wong

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Wong. A scholar is included among the top collaborators of Isaac Wong 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 Isaac Wong. Isaac Wong 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
2.
Bustillo, J. Calderón, N. Sanchis-Gual, Samson H. W. Leong, et al.. (2023). Searching for vector boson-star mergers within LIGO-Virgo intermediate-mass black-hole merger candidates. Physical review. D. 108(12). 28 indexed citations
3.
Bustillo, J. Calderón, Isaac Wong, N. Sanchis-Gual, et al.. (2023). Gravitational-Wave Parameter Inference with the Newman-Penrose Scalar. Physical Review X. 13(4). 10 indexed citations
4.
Babadi, Mehrtash, Jack Fu, Samuel K. Lee, et al.. (2023). GATK-gCNV enables the discovery of rare copy number variants from exome sequencing data. Nature Genetics. 55(9). 1589–1597. 35 indexed citations
5.
Liu, A., Isaac Wong, Samson H. W. Leong, et al.. (2023). Exploring the hidden Universe: a novel phenomenological approach for recovering arbitrary gravitational-wave millilensing configurations. Monthly Notices of the Royal Astronomical Society. 525(3). 4149–4160. 18 indexed citations
6.
Sproul, John S., Danielle E. Khost, Danna G. Eickbush, et al.. (2020). Dynamic Evolution of Euchromatic Satellites on the X Chromosome in Drosophila melanogaster and the simulans Clade. Molecular Biology and Evolution. 37(8). 2241–2256. 41 indexed citations
7.
Wong, Isaac, et al.. (2007). Loop202-208in Avian Sarcoma Virus Integrase Mediates Tetramer Assembly and Processing Activity. Biochemistry. 46(40). 11231–11239. 11 indexed citations
8.
Guo, Shuangli, Yanbin Zhang, Fenghua Yuan, et al.. (2006). Regulation of Replication Protein A Functions in DNA Mismatch Repair by Phosphorylation. Journal of Biological Chemistry. 281(31). 21607–21616. 34 indexed citations
9.
Wong, Isaac, et al.. (2003). A Dimeric Mechanism for Contextual Target Recognition by MutY Glycosylase. Journal of Biological Chemistry. 278(4). 2411–2418. 15 indexed citations
10.
Wang, Hong, et al.. (2003). Functional Oligomeric State of Avian Sarcoma Virus Integrase. Journal of Biological Chemistry. 278(2). 1323–1327. 58 indexed citations
11.
Skalka, Anna Marie, et al.. (2002). Presteady-state Analysis of Avian Sarcoma Virus Integrase. Journal of Biological Chemistry. 277(14). 12089–12098. 5 indexed citations
12.
Skalka, Anna Marie, et al.. (2002). Presteady-state Analysis of Avian Sarcoma Virus Integrase. Journal of Biological Chemistry. 277(14). 12099–12108. 5 indexed citations
13.
Wong, Isaac, et al.. (2002). Presteady-state Analysis of a Single Catalytic Turnover by Escherichia coli Uracil-DNA Glycosylase Reveals a “Pinch-Pull-Push” Mechanism. Journal of Biological Chemistry. 277(22). 19424–19432. 63 indexed citations
14.
Miller, Jamie K., et al.. (2002). Flipping Duplex DNA Inside Out. Journal of Biological Chemistry. 277(23). 20960–20964. 50 indexed citations
15.
Bjornson, Keith P., Isaac Wong, & Timothy M. Lohman. (1996). ATP Hydrolysis Stimulates Binding and Release of Single Stranded DNA from Alternating Subunits of the DimericE. coliRep Helicase: Implications for ATP-driven Helicase Translocation. Journal of Molecular Biology. 263(3). 411–422. 28 indexed citations
16.
Wong, Isaac, et al.. (1993). Overexpression, purification, DNA binding, and dimerization of the Escherichia coli uvrD gene product (Helicase II). Biochemistry. 32(2). 602–612. 85 indexed citations
17.
Wong, Isaac, Mohan Amaratunga, & Timothy M. Lohman. (1993). Heterodimer formation between Escherichia coli Rep and UvrD proteins.. Journal of Biological Chemistry. 268(27). 20386–20391. 30 indexed citations
18.
Wong, Isaac, et al.. (1992). DNA-induced dimerization of the Escherichia coli rep helicase. Allosteric effects of single-stranded and duplex DNA.. Journal of Biological Chemistry. 267(11). 7596–7610. 94 indexed citations
19.
Wong, Isaac, Smita S. Patel, & Kenneth A. Johnson. (1991). An induced-fit kinetic mechanism for DNA replication fidelity: direct measurement by single-turnover kinetics. Biochemistry. 30(2). 526–537. 309 indexed citations
20.
Patel, Smita S., Isaac Wong, & Kenneth A. Johnson. (1991). Pre-steady-state kinetic analysis of processive DNA replication including complete characterization of an exonuclease-deficient mutant. Biochemistry. 30(2). 511–525. 429 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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