Jonathan Schug
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 17
- Genomics and Chromatin Dynamics 13
- RNA modifications and cancer 11
- Genomics and Phylogenetic Studies 9
- Cancer-related gene regulation 7
- Cancer Research top 1%
- Genetics top 0.5%
- Diabetes and associated disorders 13
- Genetics and Neurodevelopmental Disorders 12
- Surgery top 1%
- Pancreatic function and diabetes 30
- Co-authors
- Klaus H. KaestnerChristian J. StoeckertAli NajiGeetu TutejaChengyang LiuMitchell A. LazarDavid J. StegerMarkus Grompe
- Journals
- Genes & Development (6 papers)Diabetes (5 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Jonathan Schug
100 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 5.3k
- Cancer Research 1.2k
- Genetics 2.1k
- Endocrinology, Diabetes and Metabolism 1.0k
- Surgery 2.6k
Countries citing papers authored by Jonathan Schug
This map shows the geographic impact of Jonathan Schug'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 Jonathan Schug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Schug more than expected).
Fields of papers citing papers by Jonathan Schug
This network shows the impact of papers produced by Jonathan Schug. 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 Jonathan Schug. The network helps show where Jonathan Schug may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan Schug, 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 | 12 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 39 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 58 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 40 | |
| 10 | 2017 | 28 | |
| 11 | 2016 | 190 | |
| 12 | 2014 | 133 | |
| 13 | 2013 | 61 | |
| 14 | 2013 | 37 | |
| 15 | 2013 | 181 | |
| 16 | 2013 | 72 | |
| 17 | 2012 | 157 | |
| 18 | 2005 | 2 | |
| 19 | 2005 | 192 | |
| 20 | 1998 | 36 |
About Jonathan Schug
Jonathan Schug is a scholar working on Genetics, Molecular Biology and Hepatology, having authored 100 papers that have together received 8.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (30 papers), Epigenetics and DNA Methylation (17 papers), Diabetes and associated disorders (13 papers), Genomics and Chromatin Dynamics (13 papers), Genetics and Neurodevelopmental Disorders (12 papers), RNA modifications and cancer (11 papers), Genomics and Phylogenetic Studies (9 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Cancer Research (1.2k citations) and Genetics (2.1k citations). Jonathan Schug has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Klaus H. Kaestner, Christian J. Stoeckert, Ali Naji, Geetu Tuteja, Chengyang Liu, Mitchell A. Lazar, David J. Steger, Markus Grompe, Zhaoyu Li and Craig Dorrell. Their work appears in journals such as Genes & Development, Diabetes, Proceedings of the National Academy of Sciences, Cell Metabolism and Scientific Reports.
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.