Michael E.G. Sauria

37 total papers · 4.2k total citations
8 papers, 1.5k citations indexed

About

Michael E.G. Sauria is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Michael E.G. Sauria has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Michael E.G. Sauria's work include Genomics and Chromatin Dynamics (7 papers), Genomic variations and chromosomal abnormalities (3 papers) and Epigenetics and DNA Methylation (2 papers). Michael E.G. Sauria is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Genomic variations and chromosomal abnormalities (3 papers) and Epigenetics and DNA Methylation (2 papers). Michael E.G. Sauria collaborates with scholars based in United States, Canada and South Korea. Michael E.G. Sauria's co-authors include James Taylor, Victor G. Corces, Jennifer E. Phillips‐Cremins, Bryan R. Lajoie, Job Dekker, Chin‐Tong Ong, T. I. Gerasimova, Ranjan Sen, Stephen Dalton and Amartya Sanyal and has published in prestigious journals such as Science, Cell and Molecular Cell.

In The Last Decade

Michael E.G. Sauria

8 papers receiving 1.5k citations

Hit Papers

Architectural Protein Sub... 2013 2026 2017 2021 2013 2022 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael E.G. Sauria 1.4k 444 241 88 57 8 1.5k
Donna McCabe 1.5k 1.1× 260 0.6× 235 1.0× 120 1.4× 67 1.2× 7 1.7k
Christopher Schaefer 1.1k 0.8× 615 1.4× 217 0.9× 169 1.9× 35 0.6× 10 1.3k
Xiaowen Lyu 1.3k 0.9× 459 1.0× 206 0.9× 41 0.5× 33 0.6× 17 1.3k
Vanja Haberle 1.2k 0.9× 176 0.4× 237 1.0× 133 1.5× 62 1.1× 16 1.4k
Aydan Bulut-Karslıoğlu 1.2k 0.8× 320 0.7× 137 0.6× 117 1.3× 76 1.3× 20 1.3k
Siew Loon Ooi 1.4k 1.0× 566 1.3× 230 1.0× 163 1.9× 36 0.6× 13 1.8k
Yoko Hayashi‐Takanaka 1.6k 1.1× 326 0.7× 154 0.6× 74 0.8× 60 1.1× 20 1.7k
Jian-Min Sun 2.2k 1.5× 193 0.4× 248 1.0× 112 1.3× 82 1.4× 13 2.4k
Kristen E. Neely 2.0k 1.4× 225 0.5× 315 1.3× 131 1.5× 160 2.8× 12 2.2k
Cyrus Martin 1.8k 1.2× 143 0.3× 335 1.4× 118 1.3× 85 1.5× 12 2.1k

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

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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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