Charles K. Kaufman

4.2k total citations · 1 hit paper
56 papers, 2.8k citations indexed

About

Charles K. Kaufman is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Cell Biology. According to data from OpenAlex, Charles K. Kaufman has authored 56 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Atomic and Molecular Physics, and Optics and 10 papers in Cell Biology. Recurrent topics in Charles K. Kaufman's work include Zebrafish Biomedical Research Applications (8 papers), Epigenetics and DNA Methylation (7 papers) and Atomic and Subatomic Physics Research (6 papers). Charles K. Kaufman is often cited by papers focused on Zebrafish Biomedical Research Applications (8 papers), Epigenetics and DNA Methylation (7 papers) and Atomic and Subatomic Physics Research (6 papers). Charles K. Kaufman collaborates with scholars based in United States, Switzerland and United Kingdom. Charles K. Kaufman's co-authors include Edmund X. DeJesus, Leonard I. Zon, Richard M. White, Elaine Fuchs, Christian Mosimann, Owen J. Tamplin, Pulin Li, Emily K. Pugach, Diana Bolotin and Richard A. Young and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Charles K. Kaufman

53 papers receiving 2.8k citations

Hit Papers

Routh-Hurwitz criterion i... 1987 2026 2000 2013 1987 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles K. Kaufman United States 21 1.3k 725 576 295 278 56 2.8k
David Sprinzak Israel 28 2.1k 1.7× 569 0.8× 995 1.7× 226 0.8× 409 1.5× 53 3.9k
Chris H. Wiggins United States 29 2.9k 2.3× 608 0.8× 301 0.5× 143 0.5× 71 0.3× 59 4.9k
Yuval Garini Israel 31 2.8k 2.2× 235 0.3× 373 0.6× 314 1.1× 312 1.1× 102 5.6k
Jianhua Xing United States 25 1.4k 1.1× 277 0.4× 390 0.7× 303 1.0× 88 0.3× 66 2.6k
T. Murakami Japan 37 1.9k 1.5× 632 0.9× 250 0.4× 160 0.5× 139 0.5× 247 5.8k
M. Goossens Belgium 56 4.6k 3.6× 282 0.4× 223 0.4× 181 0.6× 104 0.4× 345 11.0k
Rajan P. Kulkarni United States 31 1.8k 1.4× 214 0.3× 789 1.4× 493 1.7× 932 3.4× 81 5.0k
Jun Kondo Japan 39 2.0k 1.6× 485 0.7× 1.1k 1.9× 393 1.3× 154 0.6× 140 5.9k
Hiroshi Morioka Japan 35 2.4k 1.9× 188 0.3× 130 0.2× 203 0.7× 203 0.7× 188 6.1k
Lawrence M. Schwartz United States 35 3.0k 2.4× 399 0.6× 485 0.8× 247 0.8× 56 0.2× 109 5.1k

Countries citing papers authored by Charles K. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Charles K. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles K. Kaufman. 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 Charles K. Kaufman. The network helps show where Charles K. Kaufman may publish in the future.

Co-authorship network of co-authors of Charles K. Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Charles K. Kaufman. A scholar is included among the top collaborators of Charles K. Kaufman 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 Charles K. Kaufman. Charles K. Kaufman 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.
Godoy, Paula M., Jacqueline L. Mudd, Vasilios A. Morikis, et al.. (2023). Functional analysis of recurrent CDC20 promoter variants in human melanoma. Communications Biology. 6(1). 1216–1216. 2 indexed citations
2.
Jang, H. Josh, Yujie Chen, Yiran Hou, et al.. (2021). Epigenetic dynamics shaping melanophore and iridophore cell fate in zebrafish. Genome biology. 22(1). 282–282. 14 indexed citations
3.
He, Shuning, Mark W. Zimmerman, Alla Berezovskaya, et al.. (2021). Synergistic melanoma cell death mediated by inhibition of both MCL1 and BCL2 in high-risk tumors driven by NF1/PTEN loss. Oncogene. 40(38). 5718–5729. 4 indexed citations
4.
Godoy, Paula M., et al.. (2021). Functional in vivo characterization of sox10 enhancers in neural crest and melanoma development. Communications Biology. 4(1). 695–695. 9 indexed citations
5.
Fazio, Maurizio, Ellen van Rooijen, Michelle Dang, et al.. (2021). SATB2 induction of a neural crest mesenchyme-like program drives melanoma invasion and drug resistance. eLife. 10. 9 indexed citations
6.
Kalaparthi, V., Andrew Wang, Chris Williams, et al.. (2020). Difference in biophysical properties of cancer-initiating cells in melanoma mutated zebrafish. Journal of the mechanical behavior of biomedical materials. 107. 103746–103746. 6 indexed citations
7.
Parker, Hugo J., Bony De Kumar, Stephen A. Green, et al.. (2019). A Hox-TALE regulatory circuit for neural crest patterning is conserved across vertebrates. Nature Communications. 10(1). 1189–1189. 34 indexed citations
8.
Grigura, Vadim, et al.. (2018). Feeding amount significantly alters overt tumor onset rate in a zebrafish melanoma model. Biology Open. 7(1). 8 indexed citations
9.
Fazio, Maurizio, Serine Avagyan, Ellen van Rooijen, et al.. (2017). Efficient Transduction of Zebrafish Melanoma Cell Lines and Embryos Using Lentiviral Vectors. Zebrafish. 14(4). 379–382. 2 indexed citations
10.
Ciarlo, Christie, Charles K. Kaufman, Beste Kınıkoğlu, et al.. (2017). A chemical screen in zebrafish embryonic cells establishes that Akt activation is required for neural crest development. eLife. 6. 30 indexed citations
11.
Hockman, Dorit, Alan J. Burns, Gerhard Schlosser, et al.. (2017). Evolution of the hypoxia-sensitive cells involved in amniote respiratory reflexes. eLife. 6. 54 indexed citations
12.
Kaufman, Charles K., Christian Mosimann, Zi Peng Fan, et al.. (2016). A zebrafish melanoma model reveals emergence of neural crest identity during melanoma initiation. Science. 351(6272). aad2197–aad2197. 267 indexed citations
13.
Kaufman, Charles K.. (2016). Zebrafish Melanoma. Advances in experimental medicine and biology. 916. 439–450. 9 indexed citations
14.
Heilmann, Silja, Kajan Ratnakumar, Erin M. Langdon, et al.. (2015). A Quantitative System for Studying Metastasis Using Transparent Zebrafish. Cancer Research. 75(20). 4272–4282. 84 indexed citations
15.
Kong, Yawei, Maximilian E. Dougherty, Charles K. Kaufman, et al.. (2014). Neural Crest Development and Craniofacial Morphogenesis Is Coordinated by Nitric Oxide and Histone Acetylation. Chemistry & Biology. 21(4). 488–501. 43 indexed citations
16.
Kaufman, Charles K., Richard M. White, & Leonard I. Zon. (2009). Chemical genetic screening in the zebrafish embryo. Nature Protocols. 4(10). 1422–1432. 118 indexed citations
17.
Kittel, Timothy G. F., J. Andrew Royle, Christopher Daly, et al.. (2004). VEMAP Phase 2 bioclimatic database. I. Gridded historical (20th century) climate for modeling ecosystem dynamics across the conterminous USA. Climate Research. 27. 151–170. 45 indexed citations
18.
Kaufman, Charles K., et al.. (1992). Hamiltonian Chaos III. Computers in Physics. 6(1). 84–88. 1 indexed citations
19.
DeJesus, Edmund X. & Charles K. Kaufman. (1987). Routh-Hurwitz criterion in the examination of eigenvalues of a system of nonlinear ordinary differential equations. Physical review. A, General physics. 35(12). 5288–5290. 605 indexed citations breakdown →
20.
Kaufman, Charles K., et al.. (1981). Acoustic fluctuations due to the temperature fine structure of the ocean. The Journal of the Acoustical Society of America. 69(3). 676–680. 3 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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