Ryan D. Mohan

670 total citations
22 papers, 474 citations indexed

About

Ryan D. Mohan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ryan D. Mohan has authored 22 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ryan D. Mohan's work include Ubiquitin and proteasome pathways (8 papers), DNA Repair Mechanisms (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Ryan D. Mohan is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), DNA Repair Mechanisms (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Ryan D. Mohan collaborates with scholars based in United States, Canada and Russia. Ryan D. Mohan's co-authors include Jerry L. Workman, Marc Tini, Michael P. Washburn, Laurence Florens, Susan M. Abmayr, Boyko S. Atanassov, Xianjiang Lan, Sharon Dent, Wenqian Li and Ying Zhang and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Molecular Cell.

In The Last Decade

Ryan D. Mohan

21 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan D. Mohan United States 13 417 67 66 50 44 22 474
Tara B. Alexander United States 5 489 1.2× 40 0.6× 29 0.4× 85 1.7× 11 0.3× 5 553
Robert Blassberg United Kingdom 9 478 1.1× 31 0.5× 22 0.3× 89 1.8× 45 1.0× 10 552
Jérôme Cartry France 8 247 0.6× 18 0.3× 60 0.9× 92 1.8× 22 0.5× 15 390
Sofía Medina-Ruiz United States 8 252 0.6× 23 0.3× 33 0.5× 49 1.0× 10 0.2× 8 357
Katrin Serth Germany 8 357 0.9× 47 0.7× 12 0.2× 79 1.6× 15 0.3× 13 446
Christie C. Sze United States 11 582 1.4× 30 0.4× 20 0.3× 74 1.5× 10 0.2× 12 664
Zoltán Ferjentsik United Kingdom 9 376 0.9× 46 0.7× 24 0.4× 101 2.0× 12 0.3× 12 454
Georg Wolfstetter Sweden 11 188 0.5× 58 0.9× 61 0.9× 20 0.4× 23 0.5× 17 343
Chris J. Thorpe United States 6 648 1.6× 47 0.7× 47 0.7× 90 1.8× 9 0.2× 7 714
Shyamal Dilhan Weeraratne United States 8 327 0.8× 40 0.6× 39 0.6× 79 1.6× 12 0.3× 11 433

Countries citing papers authored by Ryan D. Mohan

Since Specialization
Citations

This map shows the geographic impact of Ryan D. Mohan'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 Ryan D. Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan D. Mohan more than expected).

Fields of papers citing papers by Ryan D. Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. Mohan. 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 Ryan D. Mohan. The network helps show where Ryan D. Mohan may publish in the future.

Co-authorship network of co-authors of Ryan D. Mohan

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

All Works

20 of 20 papers shown
1.
Todi, Sokol V., et al.. (2025). The ubiquitin-proteasome system in circadian regulation. Frontiers in Neuroscience. 19. 1632905–1632905.
2.
Aziz, N. Ahmad, et al.. (2022). The Molecular Basis of Spinocerebellar Ataxia Type 7. Frontiers in Neuroscience. 16. 818757–818757. 13 indexed citations
3.
Mohan, Ryan D., et al.. (2022). Deubiquitinases in Neurodegeneration. Cells. 11(3). 556–556. 24 indexed citations
4.
Erez, Neta, Winghing Wong, Oksana Maksimenko, et al.. (2021). A Non-stop identity complex (NIC) supervises enterocyte identity and protects from premature aging. eLife. 10. 10 indexed citations
5.
Nguyen, Minh Quang, et al.. (2020). Circadian Entrainment of Drosophila Melanogaster. Journal of Visualized Experiments. 1 indexed citations
6.
Mohan, Ryan D., et al.. (2020). Function and regulation of the Spt-Ada-Gcn5-Acetyltransferase (SAGA) deubiquitinase module. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1864(2). 194630–194630. 14 indexed citations
7.
Mohan, Ryan D., et al.. (2020). Hepatocellular carcinoma reduces ATXN7L3 to evade estrogen-dependent growth suppression. EBioMedicine. 63. 103179–103179. 2 indexed citations
8.
Nguyen, Minh Quang, et al.. (2019). Brief Freezing Steps Lead to Robust Immunofluorescence in the Drosophila Nervous System. BioTechniques. 67(6). 299–305. 2 indexed citations
9.
Li, Wenqian, Boyko S. Atanassov, Xianjiang Lan, et al.. (2016). Cytoplasmic ATXN7L3B Interferes with Nuclear Functions of the SAGA Deubiquitinase Module. Molecular and Cellular Biology. 36(22). 2855–2866. 13 indexed citations
10.
Lei, Kai, Hanh Thi-Kim Vu, Ryan D. Mohan, et al.. (2016). Egf Signaling Directs Neoblast Repopulation by Regulating Asymmetric Cell Division in Planarians. Developmental Cell. 38(4). 413–429. 62 indexed citations
11.
Atanassov, Boyko S., Ryan D. Mohan, Xianjiang Lan, et al.. (2016). ATXN7L3 and ENY2 Coordinate Activity of Multiple H2B Deubiquitinases Important for Cellular Proliferation and Tumor Growth. Molecular Cell. 62(4). 558–571. 96 indexed citations
12.
Lan, Xianjiang, Boyko S. Atanassov, Wenqian Li, et al.. (2016). USP44 Is an Integral Component of N-CoR that Contributes to Gene Repression by Deubiquitinating Histone H2B. Cell Reports. 17(9). 2382–2393. 40 indexed citations
13.
Mohan, Ryan D., Susan M. Abmayr, & Jerry L. Workman. (2014). The expanding role for chromatin and transcription in polyglutamine disease. Current Opinion in Genetics & Development. 26. 96–104. 22 indexed citations
14.
Mohan, Ryan D., Susan M. Abmayr, & Jerry L. Workman. (2014). Pulling complexes out of complex diseases. PubMed. 2(1). e28859–e28859. 7 indexed citations
15.
Mohan, Ryan D., Jerry L. Workman, & Susan M. Abmayr. (2014). Drosophila models reveal novel insights into mechanisms underlying neurodegeneration. Fly. 8(3). 148–152. 4 indexed citations
16.
Mohan, Ryan D., George Dialynas, Vikki M. Weake, et al.. (2014). Loss of Drosophila Ataxin-7, a SAGA subunit, reduces H2B ubiquitination and leads to neural and retinal degeneration. Genes & Development. 28(3). 259–272. 46 indexed citations
17.
Mariotti, Veronica, et al.. (2014). Stem cell in alternative treatments for brain tumors: potential for gene delivery. PubMed. 2(1). 24–24. 3 indexed citations
18.
Corkery, Dale, Gobi Thillainadesan, Ryan D. Mohan, et al.. (2011). Regulation of the BRCA1 gene by an SRC3/53BP1 complex. BMC Biochemistry. 12(1). 50–50. 7 indexed citations
19.
Knock, Erin, Liyuan Deng, Natalia I. Krupenko, et al.. (2010). Susceptibility to intestinal tumorigenesis in folate-deficient mice may be influenced by variation in one-carbon metabolism and DNA repair. The Journal of Nutritional Biochemistry. 22(11). 1022–1029. 17 indexed citations
20.
Mohan, Ryan D., David W. Litchfield, Joseph Torchia, & Marc Tini. (2009). Opposing regulatory roles of phosphorylation and acetylation in DNA mispair processing by thymine DNA glycosylase. Nucleic Acids Research. 38(4). 1135–1148. 27 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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