Daniel P. Riordan

2.7k total citations
16 papers, 1.8k citations indexed

About

Daniel P. Riordan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Daniel P. Riordan has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cell Biology. Recurrent topics in Daniel P. Riordan's work include RNA and protein synthesis mechanisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and RNA modifications and cancer (3 papers). Daniel P. Riordan is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and RNA modifications and cancer (3 papers). Daniel P. Riordan collaborates with scholars based in United States, Australia and Switzerland. Daniel P. Riordan's co-authors include Patrick O. Brown, Daniel Herschlag, Alexander F. Lovejoy, André P. Gerber, Daniel J. Hogan, Pehr B. Harbury, Andrew Fire, Steven Johnson, Frederick J. Tan and Heather McCullough and has published in prestigious journals such as Cell, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel P. Riordan

16 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel P. Riordan United States	13	1.5k	252	155	97	97	16	1.8k
Jie Yao China	21	1.2k 0.8×	86 0.3×	136 0.9×	93 1.0×	51 0.5×	53	1.6k
Yaron Daniely United States	10	951 0.6×	124 0.5×	298 1.9×	141 1.5×	46 0.5×	16	1.3k
Christina Grimm Germany	17	1.1k 0.8×	357 1.4×	72 0.5×	118 1.2×	129 1.3×	33	1.4k
Rosalyn Ram United States	14	1.3k 0.9×	482 1.9×	125 0.8×	36 0.4×	175 1.8×	14	1.7k
Alexander Wolf Germany	21	1.1k 0.7×	269 1.1×	104 0.7×	51 0.5×	85 0.9×	60	1.5k
Akiko Doi Japan	9	2.0k 1.3×	178 0.7×	182 1.2×	115 1.2×	36 0.4×	21	2.3k
Shalini Oberdoerffer United States	15	2.0k 1.4×	589 2.3×	125 0.8×	39 0.4×	75 0.8×	24	2.3k
Éva Forgács United States	21	1.7k 1.2×	256 1.0×	267 1.7×	238 2.5×	85 0.9×	39	2.4k
Evgeny M. Makarov United Kingdom	20	2.0k 1.3×	365 1.4×	98 0.6×	36 0.4×	60 0.6×	39	2.1k
Kinga Kamieniarz-Gdula Germany	16	1.8k 1.2×	150 0.6×	145 0.9×	25 0.3×	47 0.5×	20	2.1k

Countries citing papers authored by Daniel P. Riordan

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Riordan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Riordan. 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 Daniel P. Riordan. The network helps show where Daniel P. Riordan may publish in the future.

Co-authorship network of co-authors of Daniel P. Riordan

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

All Works

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16 of 16 papers shown

Replogle, Joseph M., Thomas M. Norman, Albert Xu, et al.. (2020). Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing. Nature Biotechnology. 38(8). 954–961. 229 indexed citations

Williams, Stephen R., Cedric R. Uytingco, Neil Weisenfeld, et al.. (2020). 50 Spatially resolved molecular investigation of triple negative breast cancer and its immune microenvironment. SHILAP Revista de lepidopterología. A31.1–A31. 2 indexed citations

Riordan, Daniel P., et al.. (2019). Imminent Aggression in Female Forensic Inpatients: A Study Assessing the Predictive Validity of the Dynamic Appraisal of Situational Aggression: Women’s Version (DASA: WV). International Journal of Forensic Mental Health. 18(4). 326–335. 3 indexed citations

Ouadah, Youcef, et al.. (2019). Rare Pulmonary Neuroendocrine Cells Are Stem Cells Regulated by Rb, p53, and Notch. Cell. 179(2). 403–416.e23. 137 indexed citations

Boutet, Stéphane C., Michael J. T. Stubbington, Katherine A. Pfeiffer, et al.. (2019). Scalable and comprehensive characterization of antigen-specific CD8 T cells using multi-omics single cell analysis. The Journal of Immunology. 202(1_Supplement). 131.4–131.4. 8 indexed citations

Nagendran, Monica, Daniel P. Riordan, Pehr B. Harbury, & Tushar Desai. (2018). Automated cell-type classification in intact tissues by single-cell molecular profiling. eLife. 7. 84 indexed citations

Riordan, Daniel P., et al.. (2017). Ultrasensitive optical imaging with lanthanide lumiphores. Nature Chemical Biology. 14(1). 15–21. 57 indexed citations

Tsvetanova, Nikoleta G., Michelle Trester-Zedlitz, Billy W. Newton, et al.. (2016). G Protein–Coupled Receptor Endocytosis Confers Uniformity in Responses to Chemically Distinct Ligands. Molecular Pharmacology. 91(2). 145–156. 23 indexed citations

Riordan, Daniel P., Sushama Varma, Robert B. West, & Patrick O. Brown. (2015). Automated Analysis and Classification of Histological Tissue Features by Multi-Dimensional Microscopic Molecular Profiling. PLoS ONE. 10(7). e0128975–e0128975. 18 indexed citations

10.

Volz, Katharina S., Heidi I. Chen, Aruna Poduri, et al.. (2015). Pericytes are progenitors for coronary artery smooth muscle. eLife. 4. 165 indexed citations

11.

Lovejoy, Alexander F., Daniel P. Riordan, & Patrick O. Brown. (2014). Transcriptome-Wide Mapping of Pseudouridines: Pseudouridine Synthases Modify Specific mRNAs in S. cerevisiae. PLoS ONE. 9(10). e110799–e110799. 310 indexed citations

12.

Tsvetanova, Nikoleta G., Daniel P. Riordan, & Patrick O. Brown. (2012). The Yeast Rab GTPase Ypt1 Modulates Unfolded Protein Response Dynamics by Regulating the Stability of HAC1 RNA. PLoS Genetics. 8(7). e1002862–e1002862. 23 indexed citations

13.

Riordan, Daniel P., Daniel Herschlag, & Patrick O. Brown. (2010). Identification of RNA recognition elements in the Saccharomyces cerevisiae transcriptome. Nucleic Acids Research. 39(4). 1501–1509. 55 indexed citations

14.

Hogan, Daniel J., Daniel P. Riordan, André P. Gerber, Daniel Herschlag, & Patrick O. Brown. (2008). Diverse RNA-Binding Proteins Interact with Functionally Related Sets of RNAs, Suggesting an Extensive Regulatory System. PLoS Biology. 6(10). e255–e255. 483 indexed citations

15.

Johnson, Steven, Frederick J. Tan, Heather McCullough, Daniel P. Riordan, & Andrew Fire. (2006). Flexibility and constraint in the nucleosome core landscape of Caenorhabditis elegans chromatin. Genome Research. 16(12). 1505–1516. 148 indexed citations

16.

Riordan, Daniel P.. (2004). Gender and sex in counseling and psychotherapy. 5(1). 35–36. 55 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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