Mark Gerstein
- Molecular Biology top 0.01%
- Genomics and Phylogenetic Studies 128
- RNA and protein synthesis mechanisms 113
- Bioinformatics and Genomic Networks 106
- Genomics and Chromatin Dynamics 89
- Protein Structure and Dynamics 79
- Gene expression and cancer classification 73
- RNA Research and Splicing 63
- Machine Learning in Bioinformatics 45
- Cancer Research top 0.05%
- Aging top 0.2%
- Genetics top 0.05%
- Plant Science top 0.1%
- Co-authors
- M SnyderZhong WangHaiyuan YuDov GreenbaumJoel RozowskyNicholas M. LuscombeRonald JansenAlexej Abyzov
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mark Gerstein
548 papers receiving 60.5k citations
Hit Papers
Peers
Comparison fields: 5 of 229
- Molecular Biology 48.2k
- Cancer Research 7.8k
- Aging 748
- Genetics 8.6k
- Plant Science 6.9k
Countries citing papers authored by Mark Gerstein
This map shows the geographic impact of Mark Gerstein'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 Mark Gerstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Gerstein more than expected).
Fields of papers citing papers by Mark Gerstein
This network shows the impact of papers produced by Mark Gerstein. 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 Mark Gerstein. The network helps show where Mark Gerstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Gerstein, 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 | 6 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 34 | |
| 4 | 2022 | 25 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 4 | |
| 12 | 2012 | 144 | |
| 13 | 2010 | 150 | |
| 14 | 2009 | 139 | |
| 15 | 2007 | 292 | |
| 16 | 2007 | 291 | |
| 17 | 2007 | 60 | |
| 18 | 2006 | 177 | |
| 19 | A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Databreakdown → | 2003 | 916 |
| 20 | 2002 | 136 |
About Mark Gerstein
Mark Gerstein is a scholar working on Molecular Biology, Cancer Research and Aging, having authored 558 papers that have together received 61.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (128 papers), RNA and protein synthesis mechanisms (113 papers), Bioinformatics and Genomic Networks (106 papers), Genomics and Chromatin Dynamics (89 papers), Protein Structure and Dynamics (79 papers), Gene expression and cancer classification (73 papers), RNA Research and Splicing (63 papers) and Machine Learning in Bioinformatics (45 papers). The work is most often cited by research in Molecular Biology (48.2k citations), Cancer Research (7.8k citations) and Aging (748 citations). Mark Gerstein has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include M Snyder, Zhong Wang, Haiyuan Yu, Dov Greenbaum, Joel Rozowsky, Nicholas M. Luscombe, Ronald Jansen, Alexej Abyzov, Cyrus Chothia and Philip M. Kim. Their work appears in journals such as Bioinformatics, Genome biology, Genome Research, Journal of Molecular Biology and PLoS Computational Biology.
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.