Michael J. Ziller

16.0k citations
56 papers · 4.7k indexed · 2 hit papers · h-index 28
Topics
Epigenetics and DNA Methylation (20 papers)Pluripotent Stem Cells Research (16 papers)CRISPR and Genetic Engineering (12 papers)

In The Last Decade

Michael J. Ziller

55 papers receiving 4.6k citations

Hit Papers

Charting a dynamic DNA methylation landscape of the human...201120262016202120132011250500750

Peers

Michael J. Ziller
Comparison fields: 5 of 140
  • Molecular Biology 4.0k
  • Genetics 872
  • Cancer Research 312
  • Pediatrics, Perinatology and Child Health 290
  • Biomedical Engineering 258
Replace Susan C. Wu with:
Susan C. Wu United States
Menno P. Creyghton Netherlands
Gabriella Ficz United Kingdom
Yujing Li United States
Eran Meshorer Israel
Gert Jan C. Veenstra Netherlands
Bernard Ramsahoye United Kingdom
Giuseppe Testa Italy
Shinsuke Ito Japan
Yinghua Shen United States
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Citations per field
00.5×7.8×
Susan C. Wu · 1×
Citations per year

Countries citing papers authored by Michael J. Ziller

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Ziller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Ziller

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Ziller. A scholar is included among the top collaborators of Michael J. Ziller 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 Michael J. Ziller. Michael J. Ziller 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 1
2 0
3 11
4 13
5 5
6 20
7 7
8 62
9 52
10 114
11 47
12 23
13 145
14 357
15 103
16 151
17 258
18 21
19 2
20 106

About Michael J. Ziller

Michael J. Ziller is a scholar working on Developmental Neuroscience, Molecular Biology and Genetics, having authored 56 papers that have together received 4.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), Pluripotent Stem Cells Research (16 papers) and CRISPR and Genetic Engineering (12 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Aging (69 citations) and Genetics (872 citations). Michael J. Ziller has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Alexander Meissner, Hongcang Gu, Andreas Gnirke, Julie Donaghey, Fabian Müller, B Bernstein, Oliver Kohlbacher, Zachary D. Smith, Christoph Bock and Philip L. De Jager. Their work appears in journals such as Nature, Cell and Nature Communications.

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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