Charles K. Kaufman

4.2k citations
56 papers · 2.8k indexed · 1 hit paper · h-index 21
Topics
Zebrafish Biomedical Research Applications (8 papers)Epigenetics and DNA Methylation (7 papers)Atomic and Subatomic Physics Research (6 papers)

In The Last Decade

Charles K. Kaufman

53 papers receiving 2.8k citations

Hit Papers

Routh-Hurwitz criterion in the examination of eigenvalues...19872026200020131987200400600

Peers

Charles K. Kaufman
Comparison fields: 5 of 157
  • Molecular Biology 1.3k
  • Cell Biology 725
  • Atomic and Molecular Physics, and Optics 576
  • Cancer Research 295
  • Electrical and Electronic Engineering 278
Replace Makoto Sato with:
Makoto Sato Japan
David Shalloway United States
F. Alexander Wolf Germany
Tohru Itoh Japan
Zoltán Neufeld Australia
Sabine Mai Canada
Jean Gautier United States
David Sprinzak Israel
Ying Tang China
Viki Allan United Kingdom
Charles K. Kaufman relative to Makoto Sato Japan Makoto Sato's profile →
Citations per field
00.5×7.7×
Makoto Sato · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 14
3 4
4 9
5 9
6 34
7 6
8 34
9 8
10 2
11 54
12 30
13 267
14 9
15 84
16 43
17 352
18 118
19 45
20 32

About Charles K. Kaufman

Charles K. Kaufman is a scholar working on Statistical and Nonlinear Physics, Cell Biology and Biophysics, having authored 56 papers that have together received 2.8k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Epigenetics and DNA Methylation (7 papers) and Atomic and Subatomic Physics Research (6 papers). The work is most often cited by research in Cell Biology (725 citations), Urology (138 citations) and Cancer Research (295 citations). Charles K. Kaufman has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Edmund X. DeJesus, Leonard I. Zon, Richard M. White, Elaine Fuchs, Christian Mosimann, Pulin Li, Owen J. Tamplin, Emily K. Pugach, Diana Bolotin and Richard A. Young. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.

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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