Jessica Dausman

3.5k citations
12 papers · 2.8k indexed · 2 hit papers · h-index 11
Topics
Epigenetics and DNA Methylation (5 papers)Genetic Syndromes and Imprinting (3 papers)Pluripotent Stem Cells Research (3 papers)

In The Last Decade

Jessica Dausman

12 papers receiving 2.7k citations

Hit Papers

Induction of Tumors in Mice by Genomic Hypomethylation2001202620092017200320012505007501000

Peers

Jessica Dausman
Comparison fields: 5 of 96
  • Molecular Biology 2.4k
  • Genetics 949
  • Cancer Research 260
  • Public Health, Environmental and Occupational Health 204
  • Pediatrics, Perinatology and Child Health 184
Replace Felicidad A. Gonzales with:
Felicidad A. Gonzales United States
Misao Ohki Japan
Chih-Lin Hsieh United States
Naka Hattori Japan
Helena Ayyub United Kingdom
Rachel Deplus Belgium
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Kohzoh Mitsuya Japan
Catherine Ucla Switzerland
Michael Brandeis Israel
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Citations per field
00.5×2.7×
Felicidad A. Gonzales · 1×
Citations per year

Countries citing papers authored by Jessica Dausman

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Dausman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Dausman

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Dausman. A scholar is included among the top collaborators of Jessica Dausman 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 Jessica Dausman. Jessica Dausman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 89
2
Induction of Tumors in Mice by Genomic Hypomethylationbreakdown →
1150
3
Loss of genomic methylation causes p53-dependent apoptosis and epigenetic deregulationbreakdown →
559
4 102
5 263
6 20
7 248
8 79
9 124
10 93
11 31
12 7

About Jessica Dausman

Jessica Dausman is a scholar working on Virology, Genetics and Endocrine and Autonomic Systems, having authored 12 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genetic Syndromes and Imprinting (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Genetics (949 citations) and Cancer Research (260 citations). Jessica Dausman has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Rudolf Jaenisch, Laurie Jackson‐Grusby, François Gaudet, Heinrich Leonhardt, John Hodgson, Amir Eden, Joe W. Gray, Barbara Panning, Caroline Beard and Eric S. Lander. Their work appears in journals such as Nature, Science and Cell.

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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