Robert Ietswaart

756 total citations
13 papers, 449 citations indexed

About

Robert Ietswaart is a scholar working on Molecular Biology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Robert Ietswaart has authored 13 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Computational Theory and Mathematics. Recurrent topics in Robert Ietswaart's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Single-cell and spatial transcriptomics (2 papers). Robert Ietswaart is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Single-cell and spatial transcriptomics (2 papers). Robert Ietswaart collaborates with scholars based in United States, United Kingdom and China. Robert Ietswaart's co-authors include Zhe Wu, Caroline Dean, Martin Howard, L. Stirling Churchman, Stefanie Rosa, Hongchun Yang, Kenn Gerdes, Benjamin M. Gyori, John A. Bachman and Peter K. Sorger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular Cell.

In The Last Decade

Robert Ietswaart

13 papers receiving 444 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 Ietswaart United States 10 338 176 50 47 43 13 449
Daniel E. Todd United Kingdom 9 381 1.1× 77 0.4× 103 2.1× 27 0.6× 15 0.3× 10 513
Dean Derbyshire United Kingdom 9 492 1.5× 89 0.5× 35 0.7× 18 0.4× 17 0.4× 13 583
Liang-Yu Fu China 12 309 0.9× 194 1.1× 50 1.0× 33 0.7× 18 0.4× 13 395
Zohar Meir Israel 10 397 1.2× 127 0.7× 34 0.7× 100 2.1× 7 0.2× 15 560
Shilong Jiang China 13 228 0.7× 127 0.7× 11 0.2× 62 1.3× 23 0.5× 38 440
Noreen F. Rizvi United States 12 471 1.4× 111 0.6× 23 0.5× 61 1.3× 29 0.7× 15 512
H P Biemann United States 7 398 1.2× 37 0.2× 74 1.5× 45 1.0× 5 0.1× 7 488
Joseph V. Geisberg United States 15 1.1k 3.3× 89 0.5× 139 2.8× 66 1.4× 6 0.1× 28 1.2k
Eric Jain Switzerland 4 312 0.9× 27 0.2× 38 0.8× 12 0.3× 40 0.9× 6 416
Benjamin Gilman United States 7 558 1.7× 30 0.2× 33 0.7× 36 0.8× 11 0.3× 7 651

Countries citing papers authored by Robert Ietswaart

Since Specialization
Citations

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

Fields of papers citing papers by Robert Ietswaart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Ietswaart

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

All Works

13 of 13 papers shown
1.
McShane, Erik, Mary Couvillion, Robert Ietswaart, et al.. (2024). A kinetic dichotomy between mitochondrial and nuclear gene expression processes. Molecular Cell. 84(8). 1541–1555.e11. 25 indexed citations
2.
Dost, Antonella F. M., et al.. (2024). Early-stage lung cancer is driven by a transitional cell state dependent on a KRAS-ITGA3-SRC axis. The EMBO Journal. 43(14). 2843–2861. 6 indexed citations
3.
Mateo‐Bonmatí, Eduardo, et al.. (2024). Proximal termination generates a transcriptional state that determines the rate of establishment of Polycomb silencing. Molecular Cell. 84(12). 2255–2271.e9. 9 indexed citations
4.
Ietswaart, Robert, Brendan M. Smalec, Karine Choquet, et al.. (2024). Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the mammalian transcript life cycle. Molecular Cell. 84(14). 2765–2784.e16. 26 indexed citations
5.
Caulier, Alexis, Claudia Fiorini, Jacob C. Ulirsch, et al.. (2023). RNA polymerase II pausing temporally coordinates cell cycle progression and erythroid differentiation. Developmental Cell. 58(20). 2112–2127.e4. 18 indexed citations
6.
Ietswaart, Robert, Benjamin M. Gyori, John A. Bachman, Peter K. Sorger, & L. Stirling Churchman. (2021). GeneWalk identifies relevant gene functions for a biological context using network representation learning. Genome biology. 22(1). 55–55. 33 indexed citations
7.
Ietswaart, Robert, Benjamin M. Gyori, John A. Bachman, Peter K. Sorger, & L. Stirling Churchman. (2021). GeneWalk v1.3.0 Github repository. Figshare. 1 indexed citations
8.
Ietswaart, Robert. (2021). churchmanlab/MiMB2019NETseq: NETseq alignment scripts for Methods in Molecular Biology v1.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Ietswaart, Robert, Seda Arat, Saman Farahmand, et al.. (2020). Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology. EBioMedicine. 57. 102837–102837. 53 indexed citations
10.
Ietswaart, Robert, Stefanie Rosa, Zhe Wu, Caroline Dean, & Martin Howard. (2017). Cell-Size-Dependent Transcription of FLC and Its Antisense Long Non-coding RNA COOLAIR Explain Cell-to-Cell Expression Variation. Cell Systems. 4(6). 622–635.e9. 59 indexed citations
11.
Wu, Zhe, et al.. (2015). Quantitative regulation of FLC via coordinated transcriptional initiation and elongation. Proceedings of the National Academy of Sciences. 113(1). 218–223. 70 indexed citations
12.
Ietswaart, Robert, et al.. (2014). Competing ParA Structures Space Bacterial Plasmids Equally over the Nucleoid. PLoS Computational Biology. 10(12). e1004009–e1004009. 39 indexed citations
13.
Ietswaart, Robert, Zhe Wu, & Caroline Dean. (2012). Flowering time control: another window to the connection between antisense RNA and chromatin. Trends in Genetics. 28(9). 445–453. 109 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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