Matthew S. Sachs

256 total papers · 14.3k total citations
121 papers, 8.2k citations indexed

About

Matthew S. Sachs is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Matthew S. Sachs has authored 121 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 26 papers in Genetics and 13 papers in Plant Science. Recurrent topics in Matthew S. Sachs's work include RNA and protein synthesis mechanisms (47 papers), Bacterial Genetics and Biotechnology (21 papers) and RNA modifications and cancer (18 papers). Matthew S. Sachs is often cited by papers focused on RNA and protein synthesis mechanisms (47 papers), Bacterial Genetics and Biotechnology (21 papers) and RNA modifications and cancer (18 papers). Matthew S. Sachs collaborates with scholars based in United States, Germany and Ireland. Matthew S. Sachs's co-authors include Walter Birchmeier, K. Michael Weidner, Cheng Wu, B. Voß, U. Frixen, Ahmed S. Warda, Jürgen Behrens, Allan Jacobson, Yi Liu and Charles Yanofsky and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Matthew S. Sachs

117 papers receiving 8.0k citations

Hit Papers

E-cadherin-mediated cell-... 1991 2026 2002 2014 1991 1992 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Matthew S. Sachs 5.8k 1.1k 1.1k 996 801 121 8.2k
Takahiro Nakamura 5.5k 0.9× 436 0.4× 1.1k 1.0× 725 0.7× 665 0.8× 189 7.9k
Stephen Dalton 11.0k 1.9× 709 0.6× 763 0.7× 1.5k 1.6× 1.3k 1.6× 125 14.0k
Kosuke Tashiro 3.3k 0.6× 1.9k 1.7× 421 0.4× 415 0.4× 429 0.5× 174 6.5k
A F Purchio 5.1k 0.9× 468 0.4× 288 0.3× 1.4k 1.4× 622 0.8× 85 8.4k
Arnim Pause 8.2k 1.4× 490 0.4× 402 0.4× 885 0.9× 823 1.0× 79 10.6k
Richard Breathnach 9.2k 1.6× 513 0.5× 854 0.8× 2.5k 2.6× 944 1.2× 81 14.2k
Donald G. Blair 3.1k 0.5× 1.2k 1.1× 327 0.3× 922 0.9× 262 0.3× 106 4.9k
Naomi Kitamura 4.0k 0.7× 2.8k 2.6× 238 0.2× 1.0k 1.0× 1.3k 1.6× 111 7.7k
Wei Yi 2.9k 0.5× 390 0.4× 432 0.4× 453 0.5× 714 0.9× 126 4.5k
P. Roy Walker 3.6k 0.6× 288 0.3× 274 0.2× 750 0.8× 428 0.5× 92 5.3k

Countries citing papers authored by Matthew S. Sachs

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Sachs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Sachs. 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 Matthew S. Sachs. The network helps show where Matthew S. Sachs may publish in the future.

Co-authorship network of co-authors of Matthew S. Sachs

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Sachs. A scholar is included among the top collaborators of Matthew S. Sachs 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 Matthew S. Sachs. Matthew S. Sachs 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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