Dana J. Huebert

7.3k citations
8 papers · 5.5k indexed · 2 hit papers · h-index 8
Topics
Genomics and Chromatin Dynamics (8 papers)Epigenetics and DNA Methylation (3 papers)Fungal and yeast genetics research (2 papers)
Partner nations
United StatesFrance

In The Last Decade

Dana J. Huebert

8 papers receiving 5.4k citations

Hit Papers

A Bivalent Chromatin Structure Marks Key Developmental Ge...20052026201220192006200510002.0k3.0k4.0k

Peers

Dana J. Huebert
Comparison fields: 5 of 115
  • Molecular Biology 5.0k
  • Genetics 833
  • Cancer Research 459
  • Plant Science 427
  • Immunology 313
Replace G. Grant Welstead with:
G. Grant Welstead United States
Alexandre Wagschal France
Eveline J. Steine United States
Alexander Brehm Germany
Alex Meissner United States
Chia‐Lin Wei United States
Gunnar Schotta Germany
Bernd Schuettengruber France
Thorold W. Theunissen United States
Lingyun Song United States
Dana J. Huebert relative to G. Grant Welstead United States G. Grant Welstead's profile →
Citations per field
00.5×1.5×1.8×
G. Grant Welstead · 1×
Citations per year

Countries citing papers authored by Dana J. Huebert

Since Specialization
Citations

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

Fields of papers citing papers by Dana J. Huebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana J. Huebert

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 45
2 64
3 18
4 71
5 50
6
A Bivalent Chromatin Structure Marks Key Developmental Genes in Embryonic Stem Cellsbreakdown →
4012
7 28
8
Genomic Maps and Comparative Analysis of Histone Modifications in Human and Mousebreakdown →
1170

About Dana J. Huebert

Dana J. Huebert is a scholar working on Molecular Biology, Cell Biology and Plant Science, having authored 8 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (3 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Molecular Biology (5.0k citations), Aging (69 citations) and Cancer Research (459 citations). Dana J. Huebert has collaborated with scholars based in United States and France. Frequent co-authors include B Bernstein, Michael Kamal, Eric S. Lander, Stuart L. Schreiber, Ben Fry, Xiaohui Xie, Tarjei S. Mikkelsen, Robert Feil, Rudolf Jaenisch and Alex Meissner. Their work appears in journals such as Cell, Genes & Development and Molecular and Cellular Biology.

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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