David J. Katz

2.5k citations
20 papers · 1.9k indexed · 1 hit paper · h-index 12
Topics
Epigenetics and DNA Methylation (15 papers)Genetics, Aging, and Longevity in Model Organisms (7 papers)Reproductive Biology and Fertility (6 papers)

In The Last Decade

David J. Katz

19 papers receiving 1.9k citations

Hit Papers

CTCF mediates methylation-sensitive enhancer-blocking act...200020262008201720004008001.2k

Peers

David J. Katz
Comparison fields: 5 of 92
  • Molecular Biology 1.7k
  • Genetics 924
  • Pediatrics, Perinatology and Child Health 410
  • Aging 216
  • Plant Science 113
Replace Serap Erkek with:
Serap Erkek Türkiye
Mitsuteru Ito United Kingdom
Emily Brookes United Kingdom
Irene Hernando-Herraez United Kingdom
Greta Pintacuda United Kingdom
Jessica L. Buxton United Kingdom
Tracy Moses United States
Alwin A.H.A. Derijck Netherlands
Kazuki Yamazawa Japan
Neil Robertson United Kingdom
David J. Katz relative to Serap Erkek Türkiye Serap Erkek's profile →
Citations per field
00.5×2.9×
Serap Erkek · 1×
Citations per year

Countries citing papers authored by David J. Katz

Since Specialization
Citations

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

Fields of papers citing papers by David J. Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Katz. 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 David J. Katz. The network helps show where David J. Katz may publish in the future.

Co-authorship network of co-authors of David J. Katz

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Katz. A scholar is included among the top collaborators of David J. Katz 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 David J. Katz. David J. Katz 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 0
2 5
3 2
4 8
5 26
6 4
7 6
8 41
9 5
10 62
11 27
12 51
13 4
14 61
15 38
16 11
17 63
18 250
19 15
20
CTCF mediates methylation-sensitive enhancer-blocking activity at the H19/Igf2 locusbreakdown →
1205

About David J. Katz

David J. Katz is a scholar working on Aging, Neuropsychology and Physiological Psychology and Developmental Neuroscience, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Reproductive Biology and Fertility (6 papers). The work is most often cited by research in Aging (216 citations), Genetics (924 citations) and Molecular Biology (1.7k citations). David J. Katz has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include John M. Levorse, Shirley M. Tilghman, Christopher J. Schoenherr, Amy T. Hark, Robert S. Ingram, William G. Kelly, Thomas M. Edwards, V Reinke, Michael A. Christopher and Stephanie M. Kyle. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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