Ryan O’Hara

514 total citations
9 papers, 348 citations indexed

About

Ryan O’Hara is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Ryan O’Hara has authored 9 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Physiology. Recurrent topics in Ryan O’Hara's work include Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers) and RNA Interference and Gene Delivery (2 papers). Ryan O’Hara is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers) and RNA Interference and Gene Delivery (2 papers). Ryan O’Hara collaborates with scholars based in United States, Italy and China. Ryan O’Hara's co-authors include Andrew T. Ludlow, Ejun Huang, Beatrice Arosio, Jerry W. Shay, Daniela Mari, Enzo Tedone, Laura A. Banaszynski, Sara Martire, Woodring E. Wright and Tsung‐Po Lai and has published in prestigious journals such as Nature Communications, Neuron and Scientific Reports.

In The Last Decade

Ryan O’Hara

9 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan O’Hara United States	7	175	105	79	32	28	9	348
Hilde Götz Germany	12	214 1.2×	141 1.3×	65 0.8×	33 1.0×	30 1.1×	21	450
Carl A. Mitchell United States	8	282 1.6×	178 1.7×	50 0.6×	61 1.9×	32 1.1×	9	521
Sonia Benhamida France	7	102 0.6×	42 0.4×	41 0.5×	43 1.3×	25 0.9×	7	298
Enzo Tedone United States	9	278 1.6×	36 0.3×	201 2.5×	20 0.6×	30 1.1×	12	406
Narumi Suzuki Japan	6	150 0.9×	132 1.3×	125 1.6×	39 1.2×	73 2.6×	13	399
Amir Bahat Germany	6	283 1.6×	77 0.7×	45 0.6×	11 0.3×	15 0.5×	6	363
Fasih M. Ahsan United States	6	138 0.8×	145 1.4×	29 0.4×	34 1.1×	16 0.6×	8	290
Christian Oertlin Sweden	7	174 1.0×	32 0.3×	47 0.6×	16 0.5×	15 0.5×	7	260
Isabelle Rouvet France	11	250 1.4×	73 0.7×	60 0.8×	27 0.8×	31 1.1×	13	371
Lisa B. Noble United States	6	131 0.7×	47 0.4×	91 1.2×	24 0.8×	41 1.5×	7	332

Countries citing papers authored by Ryan O’Hara

Since Specialization

Citations

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

Fields of papers citing papers by Ryan O’Hara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan O’Hara

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

All Works

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9 of 9 papers shown

1.

Pinzón-Arteaga, Carlos A., Ryan O’Hara, Alice Mazzagatti, et al.. (2024). TASOR expression in naive embryonic stem cells safeguards their developmental potential. Cell Reports. 43(11). 114887–114887. 1 indexed citations

2.

Bajikar, Sameer S., Jian Zhou, Ryan O’Hara, et al.. (2024). Acute MeCP2 loss in adult mice reveals transcriptional and chromatin changes that precede neurological dysfunction and inform pathogenesis. Neuron. 113(3). 380–395.e8. 7 indexed citations

3.

Tafessu, Amanuel, et al.. (2023). H3.3 contributes to chromatin accessibility and transcription factor binding at promoter-proximal regulatory elements in embryonic stem cells. Genome biology. 24(1). 25–25. 20 indexed citations

4.

Teng, Yu‐Ching, Aishwarya Sundaresan, Ryan O’Hara, et al.. (2021). ATRX promotes heterochromatin formation to protect cells from G-quadruplex DNA-mediated stress. Nature Communications. 12(1). 3887–3887. 64 indexed citations

5.

O’Hara, Ryan, Enzo Tedone, Andrew T. Ludlow, et al.. (2019). Quantitative mitochondrial DNA copy number determination using droplet digital PCR with single-cell resolution. Genome Research. 29(11). 1878–1888. 83 indexed citations

6.

Huang, Ejun, Ryan O’Hara, Kimberly Batten, et al.. (2018). Telomere length and telomerase activity in T cells are biomarkers of high‐performing centenarians. Aging Cell. 18(1). e12859–e12859. 60 indexed citations

7.

Huang, Ejun, Enzo Tedone, Ryan O’Hara, et al.. (2017). The Maintenance of Telomere Length in CD28+ T Cells During T Lymphocyte Stimulation. Scientific Reports. 7(1). 6785–6785. 35 indexed citations

8.

Zhou, Hong, et al.. (2011). Selective CD28 Blockade Attenuates Acute and Chronic Rejection of Murine Cardiac Allografts in a CTLA-4-Dependent Manner. American Journal of Transplantation. 11(8). 1599–1609. 77 indexed citations

9.

Zhou, Hong, et al.. (2004). SELECTIVE LIGATION OF CD28 BY A SINGLE–CHAIN FV INHIBITS T CELL PROLIFERATION AND PROMOTES ALLOGRAFT SURVIVAL. Transplantation. 78. 569–570. 1 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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