M Snyder
- Molecular Biology top 0.01%
- Fungal and yeast genetics research 114
- Genomics and Chromatin Dynamics 114
- RNA and protein synthesis mechanisms 82
- RNA Research and Splicing 82
- Gene expression and cancer classification 73
- Bioinformatics and Genomic Networks 67
- Genomics and Phylogenetic Studies 66
- RNA modifications and cancer 50
- Aging top 0.1%
- Cancer Research top 0.05%
- Genetics top 0.02%
- Cell Biology top 0.05%
- Co-authors
- Mark GersteinZhong WangHeng ZhuKonrad J. KarczewskiJoel RozowskyAlexander E. UrbanGhia EuskirchenSherman M. Weissman
- Journals
- Proceedings of the National Academy of Sciences (39 papers)Genome Research (36 papers)Genes & Development (22 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
M Snyder
889 papers receiving 80.8k citations
Hit Papers
Peers
Comparison fields: 5 of 233
- Molecular Biology 58.7k
- Aging 1.2k
- Cancer Research 9.0k
- Genetics 11.0k
- Cell Biology 5.7k
Countries citing papers authored by M Snyder
This map shows the geographic impact of M Snyder'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 M Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Snyder more than expected).
Fields of papers citing papers by M Snyder
This network shows the impact of papers produced by M Snyder. 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 M Snyder. The network helps show where M Snyder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M Snyder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 15 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 35 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 9 | |
| 13 | 2016 | 40 | |
| 14 | 2015 | 162 | |
| 15 | 2011 | 39 | |
| 16 | 2007 | 292 | |
| 17 | 2007 | 291 | |
| 18 | 2006 | 177 | |
| 19 | A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Databreakdown → | 2003 | 916 |
| 20 | 2002 | 136 |
About M Snyder
M Snyder is a scholar working on Molecular Biology, Aging and Cancer Research, having authored 913 papers that have together received 82.4k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (114 papers), Genomics and Chromatin Dynamics (114 papers), RNA and protein synthesis mechanisms (82 papers), RNA Research and Splicing (82 papers), Gene expression and cancer classification (73 papers), Bioinformatics and Genomic Networks (67 papers), Genomics and Phylogenetic Studies (66 papers) and RNA modifications and cancer (50 papers). The work is most often cited by research in Molecular Biology (58.7k citations), Aging (1.2k citations) and Cancer Research (9.0k citations). M Snyder has collaborated with scholars based in United States, China and France. Frequent co-authors include Mark Gerstein, Zhong Wang, Heng Zhu, Konrad J. Karczewski, Joel Rozowsky, Alexander E. Urban, Ghia Euskirchen, Sherman M. Weissman, Paul Bertone and Debasish Raha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genome Research, Genes & Development, Nature Communications and PLoS Genetics.
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.