Robert Durruthy-Durruthy

2.0k total citations
16 papers, 538 citations indexed

About

Robert Durruthy-Durruthy is a scholar working on Molecular Biology, Cancer Research and Sensory Systems. According to data from OpenAlex, Robert Durruthy-Durruthy has authored 16 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Sensory Systems. Recurrent topics in Robert Durruthy-Durruthy's work include Single-cell and spatial transcriptomics (9 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers) and Cancer Genomics and Diagnostics (6 papers). Robert Durruthy-Durruthy is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Hearing, Cochlea, Tinnitus, Genetics (7 papers) and Cancer Genomics and Diagnostics (6 papers). Robert Durruthy-Durruthy collaborates with scholars based in United States, Hong Kong and Japan. Robert Durruthy-Durruthy's co-authors include Stefan Heller, Byron H. Hartman, Roman D. Laske, Assaf Gottlieb, Russ B. Altman, Maurizio Pellegrino, Dennis J. Eastburn, Jose Jacob, William M. Oldham and P. Andrew Futreal and has published in prestigious journals such as Cell, Blood and Cancer Research.

In The Last Decade

Robert Durruthy-Durruthy

16 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Durruthy-Durruthy United States 11 377 205 154 71 69 16 538
Lina Jansson United States 7 214 0.6× 165 0.8× 64 0.4× 27 0.4× 12 0.2× 8 404
Andrew M. Mikosz United States 9 399 1.1× 224 1.1× 87 0.6× 102 1.4× 3 0.0× 13 649
Dalton McLean United States 8 130 0.3× 155 0.8× 54 0.4× 34 0.5× 5 0.1× 16 337
Heather Schmitz United States 7 96 0.3× 187 0.9× 42 0.3× 26 0.4× 8 0.1× 8 500
Jelena Petrovic United States 16 501 1.3× 88 0.4× 86 0.6× 10 0.1× 18 0.3× 25 762
Celeste Rosencrance United States 8 282 0.7× 61 0.3× 63 0.4× 10 0.1× 14 0.2× 10 490
Jumpei Nogami Japan 16 636 1.7× 23 0.1× 93 0.6× 17 0.2× 47 0.7× 29 732
Alexandre Aubert France 7 190 0.5× 213 1.0× 88 0.6× 41 0.6× 3 0.0× 13 446
Kimberly K. Gokoffski United States 10 317 0.8× 56 0.3× 39 0.3× 49 0.7× 33 0.5× 34 612
Sungmin Baek South Korea 13 305 0.8× 108 0.5× 96 0.6× 21 0.3× 2 0.0× 20 579

Countries citing papers authored by Robert Durruthy-Durruthy

Since Specialization
Citations

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

Fields of papers citing papers by Robert Durruthy-Durruthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Durruthy-Durruthy. 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 Robert Durruthy-Durruthy. The network helps show where Robert Durruthy-Durruthy may publish in the future.

Co-authorship network of co-authors of Robert Durruthy-Durruthy

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

All Works

16 of 16 papers shown
1.
Matern, Maggie S., Robert Durruthy-Durruthy, Spyros Darmanis, et al.. (2023). Transcriptional dynamics of delaminating neuroblasts in the mouse otic vesicle. Cell Reports. 42(6). 112545–112545. 7 indexed citations
2.
Peretz, Cheryl A.C., Lisa H.F. McGary, Jose Jacob, et al.. (2021). Single-cell DNA sequencing reveals complex mechanisms of resistance to quizartinib. Blood Advances. 5(5). 1437–1441. 22 indexed citations
3.
Coffey, David G., Aditi Agrawal, Maurizio Morri, et al.. (2021). Peripheral Blood Single-Cell Genotyping and Phenotyping in Multiple Myeloma Reveals Shared Mutations across Multiple Hematopoietic Cell Lineages. Blood. 138(Supplement 1). 724–724. 1 indexed citations
4.
Xu, Liwen, Robert Durruthy-Durruthy, Dennis J. Eastburn, et al.. (2019). Clonal Evolution and Changes in Two AML Patients Detected with A Novel Single-Cell DNA Sequencing Platform. Scientific Reports. 9(1). 11119–11119. 25 indexed citations
5.
Peretz, Cheryl A.C., Lisa H.F. McGary, Jose Jacob, et al.. (2019). Single Cell Sequencing Reveals Evolution of Tumor Heterogeneity of Acute Myeloid Leukemia on Quizartinib. Blood. 134(Supplement_1). 1440–1440. 4 indexed citations
6.
Aleshin, Alexey, Peter L. Greenberg, Bruno C. Medeiros, et al.. (2018). Abstract 3004: Single-cell mutational profiling of clonal evolution in myelodysplastic syndromes (MDS) during therapy and disease progression. Cancer Research. 78(13_Supplement). 3004–3004. 1 indexed citations
7.
Durruthy-Durruthy, Robert, et al.. (2018). Single Cell Transcriptomics Reveal Abnormalities in Neurosensory Patterning of the Chd7 Mutant Mouse Ear. Frontiers in Genetics. 9. 473–473. 10 indexed citations
8.
Durruthy-Durruthy, Robert & Manisha Ray. (2018). Using Fluidigm C1 to Generate Single-Cell Full-Length cDNA Libraries for mRNA Sequencing. Methods in molecular biology. 1706. 199–221. 10 indexed citations
9.
Eastburn, Dennis J., Maurizio Pellegrino, Adam Sciambi, et al.. (2018). Abstract 5348: Single-cell analysis of mutational heterogeneity in acute myeloid leukemia tumors with high-throughput droplet microfluidics. Cancer Research. 78(13_Supplement). 5348–5348. 4 indexed citations
10.
Pellegrino, Maurizio, Adam Sciambi, Sebastian Treusch, et al.. (2018). High-throughput single-cell DNA sequencing of acute myeloid leukemia tumors with droplet microfluidics. Genome Research. 28(9). 1345–1352. 148 indexed citations
11.
Durruthy-Durruthy, Robert, et al.. (2015). Quantitative High-Resolution Cellular Map of the Organ of Corti. Cell Reports. 11(9). 1385–1399. 53 indexed citations
12.
Hartman, Byron H., et al.. (2015). Identification and characterization of mouse otic sensory lineage genes. Frontiers in Cellular Neuroscience. 9. 79–79. 40 indexed citations
13.
Durruthy-Durruthy, Robert, Assaf Gottlieb, & Stefan Heller. (2015). 3D computational reconstruction of tissues with hollow spherical morphologies using single-cell gene expression data. Nature Protocols. 10(3). 459–474. 16 indexed citations
14.
Ronaghi, Mohammad, Megan Ealy, Robert Durruthy-Durruthy, et al.. (2014). Inner Ear Hair Cell-Like Cells from Human Embryonic Stem Cells. Stem Cells and Development. 23(11). 1275–1284. 72 indexed citations
15.
Durruthy-Durruthy, Robert & Stefan Heller. (2014). Applications for single cell trajectory analysis in inner ear development and regeneration. Cell and Tissue Research. 361(1). 49–57. 14 indexed citations
16.
Durruthy-Durruthy, Robert, Assaf Gottlieb, Byron H. Hartman, et al.. (2014). Reconstruction of the Mouse Otocyst and Early Neuroblast Lineage at Single-Cell Resolution. Cell. 157(4). 964–978. 111 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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