Jonathan Schug

12.4k total citations · 1 hit paper
100 papers, 8.5k citations indexed

About

Jonathan Schug is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Jonathan Schug has authored 100 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 33 papers in Surgery and 33 papers in Genetics. Recurrent topics in Jonathan Schug's work include Pancreatic function and diabetes (30 papers), Epigenetics and DNA Methylation (17 papers) and Diabetes and associated disorders (13 papers). Jonathan Schug is often cited by papers focused on Pancreatic function and diabetes (30 papers), Epigenetics and DNA Methylation (17 papers) and Diabetes and associated disorders (13 papers). Jonathan Schug collaborates with scholars based in United States, Israel and France. Jonathan Schug's 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 and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jonathan Schug

100 papers receiving 8.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PPARγ and C/EBP factors orchestrate adipocyte biology via adjacent binding on a genome-wide scale

2008 674 citations Martina I. Lefterova, Jonathan Schug et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonathan Schug United States	48	5.3k	2.6k	2.1k	1.2k	1.0k	100	8.5k
Paolo Meda Switzerland	55	5.6k 1.1×	3.6k 1.4×	1.7k 0.8×	621 0.5×	1.4k 1.4×	170	9.8k
Katriina Aalto‐Setälä Finland	42	3.4k 0.7×	2.3k 0.9×	655 0.3×	772 0.7×	1.4k 1.3×	166	7.6k
Yusuke Nakamura Japan	64	8.0k 1.5×	926 0.4×	1.7k 0.8×	1.9k 1.6×	458 0.4×	216	12.8k
Johan Björkegren Sweden	40	3.2k 0.6×	1.1k 0.4×	914 0.4×	986 0.9×	941 0.9×	112	7.0k
Jianming Xu United States	59	7.5k 1.4×	727 0.3×	4.3k 2.1×	1.7k 1.4×	1.3k 1.2×	204	12.3k
Xiaoyong Yang United States	45	6.0k 1.1×	914 0.4×	526 0.3×	678 0.6×	656 0.6×	111	9.2k
Mogens Kruhøffer Denmark	41	3.7k 0.7×	1.4k 0.6×	957 0.5×	1.5k 1.3×	547 0.5×	92	6.7k
Timothy J. Aitman United Kingdom	44	3.2k 0.6×	850 0.3×	2.6k 1.3×	529 0.5×	783 0.7×	140	7.1k
Kazuyoshi Yonezawa Japan	47	9.3k 1.8×	1.3k 0.5×	610 0.3×	730 0.6×	402 0.4×	97	11.9k
Thomas Becker Germany	60	7.1k 1.3×	1.4k 0.6×	1.1k 0.5×	424 0.4×	543 0.5×	154	9.2k

Countries citing papers authored by Jonathan Schug

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jonathan Schug

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Schug. A scholar is included among the top collaborators of Jonathan Schug 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 Jonathan Schug. Jonathan Schug is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Manduchi, Elisabetta, et al.. (2024). No Evidence for Persistent Enteroviral B Infection of Pancreatic Islets in Patients With Type 1 Diabetes and Prediabetes From RNA Sequencing Data. Diabetes. 73(10). 1697–1704. 3 indexed citations

Patil, Abhijeet R., Jonathan Schug, Chengyang Liu, et al.. (2024). Modeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets. Cell Reports Medicine. 5(5). 101535–101535. 10 indexed citations

Eacret, Darrell, Elisabetta Manduchi, Polina Fenik, et al.. (2023). Mu-opioid receptor-expressing neurons in the paraventricular thalamus modulate chronic morphine-induced wake alterations. Translational Psychiatry. 13(1). 78–78. 12 indexed citations

Warneford-Thomson, Robert, Parisha P. Shah, Patrick Lundgren, et al.. (2022). A LAMP sequencing approach for high-throughput co-detection of SARS-CoV-2 and influenza virus in human saliva. eLife. 11. 8 indexed citations

Kondo, Ayano, Michelle Y. Y. Lee, Daniel Traum, et al.. (2021). Highly Multiplexed Image Analysis of Intestinal Tissue Sections in Patients With Inflammatory Bowel Disease. Gastroenterology. 161(6). 1940–1952. 30 indexed citations

Gordon, Joshua A., et al.. (2021). Evaluating whole-genome expression differences in idiopathic and diabetic adhesive capsulitis. Journal of Shoulder and Elbow Surgery. 31(1). e1–e13. 5 indexed citations

Wu, Minghui, Michelle Y. Y. Lee, Daniel Traum, et al.. (2021). Single-cell analysis of the human pancreas in type 2 diabetes using multi-spectral imaging mass cytometry. Cell Reports. 37(5). 109919–109919. 39 indexed citations

Avrahami, Dana, Yue J. Wang, Jonathan Schug, et al.. (2020). Single-cell transcriptomics of human islet ontogeny defines the molecular basis of β-cell dedifferentiation in T2D. Molecular Metabolism. 42. 101057–101057. 58 indexed citations

Zahm, Adam M., Amber W. Wang, Yue J. Wang, et al.. (2019). A High-Content Screen Identifies MicroRNAs That Regulate Liver Repopulation After Injury in Mice. Gastroenterology. 158(4). 1044–1057.e17. 11 indexed citations

10.

Lefterov, Iliya, Cody M. Wolfe, Nicholas F. Fitz, et al.. (2019). APOE2 orchestrated differences in transcriptomic and lipidomic profiles of postmortem AD brain. Alzheimer s Research & Therapy. 11(1). 113–113. 53 indexed citations

11.

Abu‐Gazala, Samir, E. Philip Horwitz, Rachel Ben‐Haroush Schyr, et al.. (2018). Sleeve Gastrectomy Improves Glycemia Independent of Weight Loss by Restoring Hepatic Insulin Sensitivity. Diabetes. 67(6). 1079–1085. 40 indexed citations

12.

Galivo, Feorillo, Eric Benedetti, Yuhan Wang, et al.. (2017). Reprogramming human gallbladder cells into insulin-producing β-like cells. PLoS ONE. 12(8). e0181812–e0181812. 28 indexed citations

13.

Ackermann, Amanda M., Zhiping Wang, Jonathan Schug, Ali Naji, & Klaus H. Kaestner. (2016). Integration of ATAC-seq and RNA-seq identifies human alpha cell and beta cell signature genes. Molecular Metabolism. 5(3). 233–244. 190 indexed citations

14.

Yashiro–Ohtani, Yumi, Hongfang Wang, Chongzhi Zang, et al.. (2014). Long-range enhancer activity determines Myc sensitivity to Notch inhibitors in T cell leukemia. Proceedings of the National Academy of Sciences. 111(46). E4946–53. 133 indexed citations

15.

Koldamova, Radosveta, Jonathan Schug, Martina I. Lefterova, et al.. (2013). Genome-wide approaches reveal EGR1-controlled regulatory networks associated with neurodegeneration. Neurobiology of Disease. 63. 107–114. 61 indexed citations

16.

Hickey, Raymond, Feorillo Galivo, Jonathan Schug, et al.. (2013). Generation of islet-like cells from mouse gall bladder by direct ex vivo reprogramming. Stem Cell Research. 11(1). 503–515. 37 indexed citations

17.

Cronican, Andrea A., Nicholas F. Fitz, Alexis B. Carter, et al.. (2013). Genome-Wide Alteration of Histone H3K9 Acetylation Pattern in Mouse Offspring Prenatally Exposed to Arsenic. PLoS ONE. 8(2). e53478–e53478. 72 indexed citations

18.

Rieck, Sebastian, Peter White, Jonathan Schug, et al.. (2009). The Transcriptional Response of the Islet to Pregnancy in Mice. Molecular Endocrinology. 23(10). 1702–1712. 132 indexed citations

19.

Schug, Jonathan, Max Mintz, & Christian J. Stoeckert. (2005). Integrating gene expression signals with bounded collection grammars. Frontiers in Immunology. 13. 941976–941976. 2 indexed citations

20.

Bailey, L. Charles, et al.. (1998). GAIA: Framework Annotation of Genomic Sequence. Genome Research. 8(3). 234–250. 36 indexed citations

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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