Richard O’Laughlin

534 total citations
12 papers, 302 citations indexed

About

Richard O’Laughlin is a scholar working on Molecular Biology, Biomedical Engineering and Aging. According to data from OpenAlex, Richard O’Laughlin has authored 12 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Aging. Recurrent topics in Richard O’Laughlin's work include Gene Regulatory Network Analysis (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Pluripotent Stem Cells Research (3 papers). Richard O’Laughlin is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Pluripotent Stem Cells Research (3 papers). Richard O’Laughlin collaborates with scholars based in United States, United Kingdom and Israel. Richard O’Laughlin's co-authors include Nan Hao, Jeff Hasty, Lev S. Tsimring, Lorraine Pillus, Yang Li, Meng Jin, Philip Bittihn, Yanfei Jiang, Hongjun Song and Guo‐li Ming and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard O’Laughlin

11 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard O’Laughlin United States	8	237	94	59	22	20	12	302
Lena M Kutscher Germany	6	157 0.7×	126 1.3×	25 0.4×	24 1.1×	33 1.6×	9	277
Sean Coakley Australia	7	157 0.7×	159 1.7×	45 0.8×	51 2.3×	35 1.8×	11	324
Hasreet K. Gill United States	5	98 0.4×	107 1.1×	16 0.3×	52 2.4×	44 2.2×	7	239
Nan Xu United States	8	234 1.0×	24 0.3×	11 0.2×	21 1.0×	16 0.8×	12	354
Arman Garakani United States	5	237 1.0×	60 0.6×	72 1.2×	47 2.1×	46 2.3×	7	357
Tulsi Patel United States	5	271 1.1×	170 1.8×	10 0.2×	11 0.5×	38 1.9×	5	338
Falshruti B. Patel United States	7	173 0.7×	138 1.5×	12 0.2×	56 2.5×	34 1.7×	8	309
Rachel Stegeman United States	5	147 0.6×	30 0.3×	53 0.9×	28 1.3×	9 0.5×	5	273
Giovanni Pascarella Italy	7	199 0.8×	19 0.2×	30 0.5×	45 2.0×	7 0.3×	10	470
Marina Sanaki-Matsumiya Japan	5	234 1.0×	8 0.1×	36 0.6×	10 0.5×	10 0.5×	6	288

Countries citing papers authored by Richard O’Laughlin

Since Specialization

Citations

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

Fields of papers citing papers by Richard O’Laughlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard O’Laughlin

This figure shows the co-authorship network connecting the top 25 collaborators of Richard O’Laughlin. A scholar is included among the top collaborators of Richard O’Laughlin 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 Richard O’Laughlin. Richard O’Laughlin 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

O’Laughlin, Richard, F. C. Cheng, Hongjun Song, & Guo‐li Ming. (2025). Bioengineering tools for next-generation neural organoids. Current Opinion in Neurobiology. 92. 103011–103011. 1 indexed citations

Xue, Xufeng, Richard O’Laughlin, Norio Kobayashi, et al.. (2024). A patterned human neural tube model using microfluidic gradients. Nature. 628(8007). 391–399. 51 indexed citations

O’Laughlin, Richard, et al.. (2023). A Standardized Set of MoClo-Compatible Inducible Promoter Systems for Tunable Gene Expression in Yeast. ACS Synthetic Biology. 13(1). 85–102. 3 indexed citations

O’Laughlin, Richard, et al.. (2023). A Microfluidic Platform for Screening Gene Expression Dynamics across Yeast Strain Libraries. BIO-PROTOCOL. 13(22). e4883–e4883. 1 indexed citations

O’Laughlin, Richard, et al.. (2023). Fabrication of Microfluidic Devices for Continuously Monitoring Yeast Aging. BIO-PROTOCOL. 13(15). e4782–e4782. 3 indexed citations

Zhang, Zhijian, Richard O’Laughlin, Hongjun Song, & Guo‐li Ming. (2022). Patterning of brain organoids derived from human pluripotent stem cells. Current Opinion in Neurobiology. 74. 102536–102536. 25 indexed citations

Zhou, Zhen, Richard O’Laughlin, Yuting Liu, et al.. (2022). Age-dependent aggregation of ribosomal RNA-binding proteins links deterioration in chromatin stability with challenges to proteostasis. eLife. 11. 16 indexed citations

Li, Yang, Yanfei Jiang, Richard O’Laughlin, et al.. (2020). A programmable fate decision landscape underlies single-cell aging in yeast. Science. 369(6501). 325–329. 77 indexed citations

Jin, Meng, Yang Li, Richard O’Laughlin, et al.. (2019). Divergent Aging of Isogenic Yeast Cells Revealed through Single-Cell Phenotypic Dynamics. Cell Systems. 8(3). 242–253.e3. 37 indexed citations

10.

O’Laughlin, Richard, Meng Jin, Yang Li, et al.. (2019). Advances in quantitative biology methods for studying replicative aging in Saccharomyces cerevisiae. SHILAP Revista de lepidopterología. 4. 151–160. 17 indexed citations

11.

Baumgartner, Bridget, Richard O’Laughlin, Meng Jin, et al.. (2018). Flavin-based metabolic cycles are integral features of growth and division in single yeast cells. Scientific Reports. 8(1). 18045–18045. 13 indexed citations

12.

Li, Yang, Meng Jin, Richard O’Laughlin, et al.. (2017). Multigenerational silencing dynamics control cell aging. Proceedings of the National Academy of Sciences. 114(42). 11253–11258. 58 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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