Keith C. Cheng

8.2k total citations · 1 hit paper
84 papers, 4.9k citations indexed

About

Keith C. Cheng is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Keith C. Cheng has authored 84 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 27 papers in Cell Biology and 14 papers in Biophysics. Recurrent topics in Keith C. Cheng's work include Zebrafish Biomedical Research Applications (16 papers), Cell Image Analysis Techniques (13 papers) and DNA Repair Mechanisms (12 papers). Keith C. Cheng is often cited by papers focused on Zebrafish Biomedical Research Applications (16 papers), Cell Image Analysis Techniques (13 papers) and DNA Repair Mechanisms (12 papers). Keith C. Cheng collaborates with scholars based in United States, Canada and United Kingdom. Keith C. Cheng's co-authors include Lawrence A. Loeb, S. Nishimura, Hiroshi Kasai, Jessica L. Moore, Victor A. Canfield, John B. Schenkman, Lawrence A. Loeb, Gerald R. Smith, Glenn S. Gerhard and Daniel J. Vanselow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Keith C. Cheng

82 papers receiving 4.7k citations

Hit Papers

8-Hydroxyguanine, an abundant form of oxidative DNA damag... 1992 2026 2003 2014 1992 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith C. Cheng United States 36 2.8k 946 810 678 359 84 4.9k
Etienne Waelkens Belgium 51 4.5k 1.6× 1.1k 1.1× 966 1.2× 925 1.4× 646 1.8× 208 8.0k
Carl D. Bortner United States 42 4.2k 1.5× 573 0.6× 413 0.5× 366 0.5× 501 1.4× 92 6.6k
Elspeth A. Bruford United Kingdom 35 5.5k 2.0× 806 0.9× 1.0k 1.2× 1.4k 2.0× 783 2.2× 57 8.4k
Ping Liang United States 42 3.7k 1.4× 356 0.4× 440 0.5× 1.0k 1.5× 413 1.2× 151 5.5k
Jared Rutter United States 45 5.9k 2.1× 851 0.9× 1.6k 2.0× 464 0.7× 332 0.9× 119 9.2k
Michael D. Jacobson United Kingdom 23 5.7k 2.1× 790 0.8× 811 1.0× 555 0.8× 1.0k 2.9× 28 8.7k
Ryo Taguchi Japan 56 6.1k 2.2× 1.6k 1.7× 525 0.6× 518 0.8× 377 1.1× 212 10.0k
Ilka Wittig Germany 52 7.5k 2.7× 660 0.7× 671 0.8× 436 0.6× 341 0.9× 190 9.6k
Shigehisa Hirose Japan 52 3.8k 1.4× 639 0.7× 341 0.4× 534 0.8× 532 1.5× 260 8.5k
Wolfram Goessling United States 40 4.7k 1.7× 2.6k 2.7× 851 1.1× 678 1.0× 973 2.7× 113 8.5k

Countries citing papers authored by Keith C. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Keith C. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith C. Cheng. 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 Keith C. Cheng. The network helps show where Keith C. Cheng may publish in the future.

Co-authorship network of co-authors of Keith C. Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Keith C. Cheng. A scholar is included among the top collaborators of Keith C. Cheng 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 Keith C. Cheng. Keith C. Cheng 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.
Kim, Hie Lim, Tanghua Li, Timothy A. Shaw, et al.. (2023). Prehistoric human migration between Sundaland and South Asia was driven by sea-level rise. Communications Biology. 6(1). 150–150. 12 indexed citations
2.
Manjila, Steffy B., Yuan-Ting Wu, Daniel J. Vanselow, et al.. (2022). Whole-Brain Wiring Diagram of Oxytocin System in Adult Mice. Journal of Neuroscience. 42(25). 5021–5033. 67 indexed citations
3.
Xue, Yuan, Jiarong Ye, L. Rodney Long, et al.. (2020). Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Medical Image Analysis. 67. 101816–101816. 88 indexed citations
4.
Ding, Yifu, Thomas E. Tavolara, & Keith C. Cheng. (2016). Automated detection of retinal cell nuclei in 3D micro-CT images of zebrafish using support vector machine classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9791. 97911A–97911A. 1 indexed citations
5.
Ang, K.C., Arthur Berg, Stephen Oppenheimer, et al.. (2012). Correction: Skin Color Variation in Orang Asli Tribes of Peninsular Malaysia. PLoS ONE. 7(9). 3 indexed citations
6.
Ang, K.C., Arthur Berg, Stephen Oppenheimer, et al.. (2012). Skin Color Variation in Orang Asli Tribes of Peninsular Malaysia. PLoS ONE. 7(8). e42752–e42752. 21 indexed citations
7.
Wilson, Robin Taylor, Alanna Roff, Peng Dai, et al.. (2011). Genetic ancestry, skin reflectance and pigmentation genotypes in association with serum vitamin D metabolite balance. Hormone Molecular Biology and Clinical Investigation. 7(1). 279–293. 7 indexed citations
8.
Ekker, Stephen C., David M. Parichy, & Keith C. Cheng. (2008). Research Implications of Pigment Biology in Zebrafish. Zebrafish. 5(4). 233–235. 1 indexed citations
9.
Cheng, Keith C.. (2008). Views on Four Key Questions About Zebrafish Research. Zebrafish. 5(1). 9–24. 4 indexed citations
10.
Cheng, Keith C.. (2008). Skin Color in Fish and Humans: Impacts on Science and Society. Zebrafish. 5(4). 237–242. 9 indexed citations
11.
Norton, Heather, Rick A. Kittles, Esteban J. Parra, et al.. (2006). Genetic Evidence for the Convergent Evolution of Light Skin in Europeans and East Asians. Molecular Biology and Evolution. 24(3). 710–722. 272 indexed citations
12.
Blasiole, Brian, Victor A. Canfield, Melissa A. Vollrath, et al.. (2006). Separate Na,K-ATPase genes are required for otolith formation and semicircular canal development in zebrafish. Developmental Biology. 294(1). 148–160. 39 indexed citations
13.
Sabaliauskas, Nicole, et al.. (2006). High-throughput zebrafish histology. Methods. 39(3). 246–254. 121 indexed citations
14.
Cheng, Keith C.. (2004). A Life-Span Atlas for the Zebrafish. Zebrafish. 1(2). 69–69. 11 indexed citations
15.
Cheng, Keith C.. (2004). Views on Four Key Questions About Zebrafish Research. Zebrafish. 1(2). 85–103.
16.
Cheng, Keith C., Robert Levenson, & Janet D. Robishaw. (2003). Functional genomic dissection of multimeric protein families in zebrafish. Developmental Dynamics. 228(3). 555–567. 17 indexed citations
17.
Gerhard, Glenn S. & Keith C. Cheng. (2002). A call to fins! Zebrafish as a gerontological model. Aging Cell. 1(2). 104–111. 54 indexed citations
18.
Canfield, Victor A., et al.. (2001). The Repertoire of Na,K-ATPase α and β Subunit Genes Expressed in the Zebrafish, Danio rerio. Genome Research. 11(7). 1211–1220. 72 indexed citations
19.
Cheng, Keith C. & Lawrence A. Loeb. (1997). Genomic Stability and Instability: A Working Paradigm. Current topics in microbiology and immunology. 221. 5–18. 26 indexed citations
20.
Eckert, Kristin A., et al.. (1996). Factors Affecting Fidelity of DNA Synthesis During PCR Amplification of d(C-A)n*d(G-T)n Microsatellite Repeats. Nucleic Acids Research. 24(12). 2429–2434. 52 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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