Michael E.G. Sauria

4.2k citations
8 papers · 1.5k indexed · 2 hit papers · h-index 8
Topics
Genomics and Chromatin Dynamics (7 papers)Genomic variations and chromosomal abnormalities (3 papers)Epigenetics and DNA Methylation (2 papers)

In The Last Decade

Michael E.G. Sauria

8 papers receiving 1.5k citations

Hit Papers

Architectural Protein Subclasses Shape 3D Organization of...201320262017202120132022250500750

Peers

Michael E.G. Sauria
Comparison fields: 5 of 87
  • Molecular Biology 1.4k
  • Plant Science 449
  • Genetics 242
  • Cancer Research 88
  • Immunology 57
Replace Xiaowen Lyu with:
Xiaowen Lyu United States
Alessandro Brero Germany
Jérôme Déjardin France
Rafael Galupa France
Kikuë Tachibana-Konwalski United Kingdom
Grégoire Denay Germany
James P. Reddington United Kingdom
Danny Rangasamy Australia
Christian Valdes‐Quezada Netherlands
Aleksandra Pękowska United States
Michael E.G. Sauria relative to Xiaowen Lyu United States Xiaowen Lyu's profile →
Citations per field
00.5×2.7×
Xiaowen Lyu · 1×
Citations per year

Countries citing papers authored by Michael E.G. Sauria

Since Specialization
Citations

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

Fields of papers citing papers by Michael E.G. Sauria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E.G. Sauria. 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 E.G. Sauria. The network helps show where Michael E.G. Sauria may publish in the future.

Co-authorship network of co-authors of Michael E.G. Sauria

This figure shows the co-authorship network connecting the top 25 collaborators of Michael E.G. Sauria. A scholar is included among the top collaborators of Michael E.G. Sauria 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 E.G. Sauria. Michael E.G. Sauria 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 7
2
Epigenetic patterns in a complete human genomebreakdown →
146
3 37
4 96
5 143
6 202
7 41
8
Architectural Protein Subclasses Shape 3D Organization of Genomes during Lineage Commitmentbreakdown →
871

About Michael E.G. Sauria

Michael E.G. Sauria is a scholar working on Genetics, Reproductive Medicine and Molecular Biology, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Genomic variations and chromosomal abnormalities (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Plant Science (449 citations) and Genetics (242 citations). Michael E.G. Sauria has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include James Taylor, Victor G. Corces, Jennifer E. Phillips‐Cremins, Bryan R. Lajoie, Job Dekker, Yuhua Sun, William Wagstaff, Stephen Dalton, M. Bland and Ranjan Sen. Their work appears in journals such as Science, Cell and Molecular 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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