Jonathan Schug
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Molecular Biology top 1%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 15
- Genomics and Chromatin Dynamics 13
- Genomics and Phylogenetic Studies 8
- RNA modifications and cancer 7
- Surgery 31
- Pancreatic function and diabetes 29
- Co-authors
- Klaus H. Kaestner (53 shared papers)Christian J. Stoeckert (10 shared papers)Ali Naji (11 shared papers)Geetu Tuteja (4 shared papers)Chengyang Liu (7 shared papers)David J. Steger (4 shared papers)Mitchell A. Lazar (4 shared papers)Markus Grompe (9 shared papers)
- Journals
- Genes & Development (6 papers)Proceedings of the National Academy of Sciences (5 papers)Diabetes (5 papers)Nucleic Acids Research (4 papers)Genome Research (4 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Jonathan Schug
100 papers receiving 8.5k citations
Jonathan Schug's Hit Papers
Peers
Comparison fields: 5 of 154
- Cancer Research 990
- Molecular Biology 4.8k
- Genetics 1.8k
- Surgery 2.5k
- Endocrinology, Diabetes and Metabolism 913
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-authors
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
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PPARγ and C/EBP factors orchestrate adipocyte biology via adjacent binding on a genome-wide scale Hit paper breakdown → | 2008 | 680 |
| 2 | 2005 | 342 | |
| 3 | 2012 | 305 | |
| 4 | 2013 | 296 | |
| 5 | 2016 | 280 | |
| 6 | 2014 | 271 | |
| 7 | 2016 | 269 | |
| 8 | 2010 | 269 | |
| 9 | 2011 | 257 | |
| 10 | 2008 | 254 | |
| 11 | 2011 | 247 | |
| 12 | 2010 | 210 | |
| 13 | 2016 | 193 | |
| 14 | 2005 | 193 | |
| 15 | 2011 | 189 | |
| 16 | 2013 | 181 | |
| 17 | 2011 | 175 | |
| 18 | 2019 | 166 | |
| 19 | 2011 | 158 | |
| 20 | 2012 | 158 |
About Jonathan Schug
Jonathan Schug is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 100 papers that have together received 8.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (29 papers), Epigenetics and DNA Methylation (15 papers), Genomics and Chromatin Dynamics (13 papers), Diabetes and associated disorders (12 papers), Genetics and Neurodevelopmental Disorders (10 papers), Genomics and Phylogenetic Studies (8 papers), RNA modifications and cancer (7 papers) and Liver physiology and pathology (6 papers). The work is most often cited by research in Cancer Research (990 citations), Molecular Biology (4.8k citations), Genetics (1.8k citations), Surgery (2.5k citations) and Endocrinology, Diabetes and Metabolism (913 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, David J. Steger, Mitchell A. Lazar, Markus Grompe, Zhaoyu Li and Craig Dorrell. Their work appears in journals such as Genes & Development, Proceedings of the National Academy of Sciences, Diabetes, Nucleic Acids Research and Genome Research.
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.