Ryan Tasseff

563 total citations
12 papers, 253 citations indexed

About

Ryan Tasseff is a scholar working on Molecular Biology, Dermatology and Biomedical Engineering. According to data from OpenAlex, Ryan Tasseff has authored 12 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Dermatology and 2 papers in Biomedical Engineering. Recurrent topics in Ryan Tasseff's work include Skin Protection and Aging (3 papers), RNA Interference and Gene Delivery (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Ryan Tasseff is often cited by papers focused on Skin Protection and Aging (3 papers), RNA Interference and Gene Delivery (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Ryan Tasseff collaborates with scholars based in United States and United Kingdom. Ryan Tasseff's co-authors include Jeffrey D. Varner, Andrew Yen, Jacob Hughey, Joseph D. Sherrill, Ron C. Anafi, Robert E. Schmidt, Rodica P. Bunaciu, Robert J. Isfort, David F. Smith and Kevin J. Mills and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Ryan Tasseff

12 papers receiving 250 citations

Peers

Ryan Tasseff

MB

EAS

PHYSI

DERMA

HEMAT

Joseph DeCourcey Ireland

Christian Nunes da Silva United States

Elisabeth Pritz Austria

Sean P. Bradley United States

Michelle Wrobel United States

Junyan Gao China

Panshak Dakup United States

Lorenzo Martini Italy

Franziska Conrad Germany

Yohann Grondin United States

Joseph DeCourcey Ireland

Ryan Tasseff

98 ×0.9

MB

71 ×1.0

EAS

74 ×1.5

PHYSI

23 ×0.7

DERMA

6 ×0.2

HEMAT

Citations per year, relative to Ryan Tasseff Ryan Tasseff (= 1×) peers Joseph DeCourcey

Countries citing papers authored by Ryan Tasseff

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Tasseff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Tasseff

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

All Works

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12 of 12 papers shown

1.

Fullard, Nicola, James Wordsworth, Daniel J. Maltman, et al.. (2024). Cell Senescence-Independent Changes of Human Skin Fibroblasts with Age. Cells. 13(8). 659–659. 8 indexed citations

2.

Costello, Lydia, Daniel J. Maltman, Pamela Ritchie, et al.. (2023). Quantitative morphometric analysis of intrinsic and extrinsic skin ageing in individuals with Fitzpatrick skin types II–III. Experimental Dermatology. 32(5). 620–631. 9 indexed citations

3.

Costello, Lydia, Teresa DiColandrea, Ryan Tasseff, et al.. (2022). Tissue engineering strategies to bioengineer the ageing skin phenotype in vitro. Aging Cell. 21(2). e13550–e13550. 23 indexed citations

4.

Wu, Gang, Marc D. Ruben, Robert E. Schmidt, et al.. (2018). Population-level rhythms in human skin with implications for circadian medicine. Proceedings of the National Academy of Sciences. 115(48). 12313–12318. 79 indexed citations

5.

Fullard, Nicola, Carole J. Proctor, Robert J. Isfort, et al.. (2018). PyCoTools: a Python toolbox for COPASI. Bioinformatics. 34(21). 3702–3710. 13 indexed citations

6.

Tasseff, Ryan, et al.. (2017). An Effective Model of the Retinoic Acid Induced HL-60 Differentiation Program. Scientific Reports. 7(1). 14327–14327. 40 indexed citations

7.

Tasseff, Ryan, et al.. (2014). Mouse Hair Cycle Expression Dynamics Modeled as Coupled Mesenchymal and Epithelial Oscillators. PLoS Computational Biology. 10(11). e1003914–e1003914. 8 indexed citations

8.

Tasseff, Ryan, et al.. (2013). The Src-Family Kinase Inhibitor PP2 Rescues Inducible Differentiation Events in Emergent Retinoic Acid-Resistant Myeloblastic Leukemia Cells. PLoS ONE. 8(3). e58621–e58621. 16 indexed citations

9.

Tasseff, Ryan, et al.. (2011). Non-adiabatic dynamics of interfacial systems: a case study of a nanoparticle penetration into a lipid bilayer. Molecular Simulation. 37(7). 525–536. 5 indexed citations

10.

Tasseff, Ryan, Satyaprakash Nayak, Sang Ok Song, Andrew Yen, & Jeffrey D. Varner. (2011). Modeling and analysis of retinoic acid induced differentiation of uncommitted precursor cells. Integrative Biology. 3(5). 578–578. 14 indexed citations

11.

Tasseff, Ryan, et al.. (2010). Analysis of the Molecular Networks in Androgen Dependent and Independent Prostate Cancer Revealed Fragile and Robust Subsystems. PLoS ONE. 5(1). e8864–e8864. 20 indexed citations

12.

Conrado, Robert, et al.. (2010). Mapping woody-biomass supply costs using forest inventory and competing industry data. Biomass and Bioenergy. 35(1). 263–271. 18 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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