Ruth Didier

1.8k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Ruth Didier is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Ruth Didier has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Cell Biology. Recurrent topics in Ruth Didier's work include Epigenetics and DNA Methylation (3 papers), Pluripotent Stem Cells Research (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). Ruth Didier is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Pluripotent Stem Cells Research (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). Ruth Didier collaborates with scholars based in United States, Australia and China. Ruth Didier's co-authors include Guo‐li Ming, Christy Hammack, Zhexing Wen, Sarah C. Ogden, Hengli Tang, Yujing Li, Peng Jin, Xuyu Qian, Emily M. Lee and Jaehoon Shin and has published in prestigious journals such as Journal of Virology, Scientific Reports and Genome Research.

In The Last Decade

Ruth Didier

9 papers receiving 1.2k 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.

Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth

2016 914 citations Hengli Tang, Christy Hammack et al. Cell stem cell profile →

Peers

Ruth Didier

PHEOH

ID

MB

EPIDE

IMMUN

Christy Hammack United States

Sarah C. Ogden United States

Rodrigo Madeiro da Costa Brazil

Venkatraman Siddharthan United States

Graham Speight Australia

Muriel Coulpier France

Charise Garber United States

Shuai Hong China

Matthew T. Laurie United States

Marina Bershteyn United States

Christy Hammack United States

Ruth Didier

768 ×1.0

PHEOH

556 ×1.0

ID

175 ×0.6

MB

325 ×1.1

EPIDE

81 ×0.9

IMMUN

Citations per year, relative to Ruth Didier Ruth Didier (= 1×) peers Christy Hammack

Countries citing papers authored by Ruth Didier

Since Specialization

Citations

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

Fields of papers citing papers by Ruth Didier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruth Didier

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth Didier. A scholar is included among the top collaborators of Ruth Didier 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 Ruth Didier. Ruth Didier 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.

Hammack, Christy, Sarah C. Ogden, Chongchong Xu, et al.. (2019). Zika Virus Infection Induces DNA Damage Response in Human Neural Progenitors That Enhances Viral Replication. Journal of Virology. 93(20). 51 indexed citations

2.

Lee, Kwangjun, Hyeongseok Kim, Ruth Didier, et al.. (2019). Streamlined procedure for gene knockouts using all-in-one adenoviral CRISPR-Cas9. Scientific Reports. 9(1). 277–277. 17 indexed citations

3.

Manojlovic, Zarko, Akiko Kato, Ruth Didier, et al.. (2017). La-related protein 6 controls ciliated cell differentiation. PubMed. 6(1). 4–4. 12 indexed citations

4.

Tang, Hengli, Christy Hammack, Sarah C. Ogden, et al.. (2016). Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth. Cell stem cell. 18(5). 587–590. 914 indexed citations breakdown →

5.

Cheng, Zhijian, Dale B. Bosco, Li Sun, et al.. (2016). Neural Stem Cell-Conditioned Medium Suppresses Inflammation and Promotes Spinal Cord Injury Recovery. Cell Transplantation. 26(3). 469–482. 50 indexed citations

6.

Rivera‐Mulia, Juan Carlos, Takayo Sasaki, Ruth Didier, et al.. (2015). Dynamic changes in replication timing and gene expression during lineage specification of human pluripotent stem cells. Genome Research. 25(8). 1091–1103. 110 indexed citations

7.

Tőzsér, János, Akiko Kato, Kōichi Tanaka, et al.. (2015). TGF-β Signaling Regulates the Differentiation of Motile Cilia. Cell Reports. 11(7). 1000–1007. 23 indexed citations

8.

Chen, Tianxiang, Xi Wang, Lei Guo, et al.. (2014). Embryonic Stem Cells Promoting Macrophage Survival and Function are Crucial for Teratoma Development. Frontiers in Immunology. 5. 275–275. 30 indexed citations

9.

Dileep, Vishnu, Ruth Didier, & David M. Gilbert. (2012). Genome-wide analysis of replication timing in mammalian cells: Troubleshooting problems encountered when comparing different cell types. Methods. 57(2). 165–169. 5 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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