Raga Krishnakumar

3.3k total citations · 1 hit paper
28 papers, 2.6k citations indexed

About

Raga Krishnakumar is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Raga Krishnakumar has authored 28 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Raga Krishnakumar's work include CRISPR and Genetic Engineering (7 papers), PARP inhibition in cancer therapy (5 papers) and Pluripotent Stem Cells Research (4 papers). Raga Krishnakumar is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), PARP inhibition in cancer therapy (5 papers) and Pluripotent Stem Cells Research (4 papers). Raga Krishnakumar collaborates with scholars based in United States, Canada and Germany. Raga Krishnakumar's co-authors include W. Lee Kraus, Matthew J. Gamble, Kristine M. Frizzell, Robert Blelloch, Anthony A. Sauve, Kimberly S. Butler, Matthew P. Hirakawa, Anupama Sinha, James P. Carney and Jerilyn A. Timlin and has published in prestigious journals such as Science, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Raga Krishnakumar

27 papers receiving 2.6k citations

Hit Papers

The PARP Side of the Nucleus: Molecular Actions, Physiolo... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raga Krishnakumar United States 17 1.8k 1.1k 233 231 218 28 2.6k
Jean‐Philippe Gagné Canada 26 1.8k 1.0× 1.3k 1.1× 322 1.4× 77 0.3× 175 0.8× 50 2.4k
Xin Xiong China 20 1.3k 0.7× 483 0.4× 219 0.9× 66 0.3× 77 0.4× 64 2.2k
Xingzhi Xu China 40 3.4k 1.9× 1.1k 1.0× 285 1.2× 123 0.5× 19 0.1× 137 4.2k
Þorkell Andrésson United States 31 2.3k 1.3× 490 0.4× 417 1.8× 102 0.4× 40 0.2× 75 3.5k
Hyuk‐Jin Cha South Korea 29 1.7k 1.0× 431 0.4× 131 0.6× 131 0.6× 19 0.1× 117 2.5k
Wen‐Tai Chiu Taiwan 30 1.8k 1.0× 483 0.4× 253 1.1× 24 0.1× 33 0.2× 96 3.1k
Roberto Giovannoni Italy 25 1.1k 0.6× 366 0.3× 220 0.9× 32 0.1× 37 0.2× 69 2.0k
Jiaxue Wu China 28 2.0k 1.1× 675 0.6× 181 0.8× 21 0.1× 39 0.2× 53 2.6k
Milos Dokmanovic United States 19 2.9k 1.6× 1.1k 1.0× 248 1.1× 66 0.3× 11 0.1× 27 3.6k
Sze Ham Chan United States 17 1.8k 1.0× 266 0.2× 212 0.9× 53 0.2× 19 0.1× 22 2.8k

Countries citing papers authored by Raga Krishnakumar

Since Specialization
Citations

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

Fields of papers citing papers by Raga Krishnakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raga Krishnakumar

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

All Works

20 of 20 papers shown
1.
Krishnakumar, Raga & Anne Ruffing. (2022). OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data. PLoS Computational Biology. 18(1). e1009731–e1009731. 3 indexed citations
2.
Robinson, D., Michael E. Foster, Christopher H. Bennett, et al.. (2022). Tunable Intervalence Charge Transfer in Ruthenium Prussian Blue Analog Enables Stable and Efficient Biocompatible Artificial Synapses. Advanced Materials. 35(37). e2207595–e2207595. 15 indexed citations
3.
Hirakawa, Matthew P., et al.. (2022). Upregulation of CD14 in mesenchymal stromal cells accelerates lipopolysaccharide-induced response and enhances antibacterial properties. iScience. 25(2). 103759–103759. 8 indexed citations
4.
Verzi, Stephen, et al.. (2021). Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection. 2021 IEEE International Conference on Big Data (Big Data). 2160–2169.
5.
Mageeney, Catherine M., et al.. (2020). New candidates for regulated gene integrity revealed through precise mapping of integrative genetic elements. Nucleic Acids Research. 48(8). 4052–4065. 14 indexed citations
6.
Edwards, Harrison, Raga Krishnakumar, Anupama Sinha, et al.. (2019). Real-Time Selective Sequencing with RUBRIC: Read Until with Basecall and Reference-Informed Criteria. Scientific Reports. 9(1). 11475–11475. 47 indexed citations
7.
Chen, Amy F., Arthur Liu, Raga Krishnakumar, et al.. (2018). GRHL2-Dependent Enhancer Switching Maintains a Pluripotent Stem Cell Transcriptional Subnetwork after Exit from Naive Pluripotency. Cell stem cell. 23(2). 226–238.e4. 69 indexed citations
8.
Freimer, Jacob W., Raga Krishnakumar, Matthew S. Cook, & Robert Blelloch. (2018). Expression of Alternative Ago2 Isoform Associated with Loss of microRNA-Driven Translational Repression in Mouse Oocytes. Current Biology. 28(2). 296–302.e3. 18 indexed citations
9.
Krishnakumar, Raga, Anupama Sinha, Sara W. Bird, et al.. (2018). Systematic and stochastic influences on the performance of the MinION nanopore sequencer across a range of nucleotide bias. Scientific Reports. 8(1). 3159–3159. 54 indexed citations
10.
Miller, Philip R., Robert M. Taylor, Bao Tran, et al.. (2018). Extraction and biomolecular analysis of dermal interstitial fluid collected with hollow microneedles. Communications Biology. 1(1). 173–173. 203 indexed citations
11.
Krishnakumar, Raga, et al.. (2016). FOXD3 Regulates Pluripotent Stem Cell Potential by Simultaneously Initiating and Repressing Enhancer Activity. Cell stem cell. 18(1). 104–117. 72 indexed citations
12.
Parchem, Ronald J., et al.. (2014). Two miRNA Clusters Reveal Alternative Paths in Late-Stage Reprogramming. Cell stem cell. 14(5). 617–631. 67 indexed citations
13.
Luo, Xin, Minho Chae, Raga Krishnakumar, Charles G. Danko, & W. Lee Kraus. (2014). Dynamic reorganization of the AC16 cardiomyocyte transcriptome in response to TNFα signaling revealed by integrated genomic analyses. BMC Genomics. 15(1). 155–155. 31 indexed citations
14.
Krishnakumar, Raga & Robert Blelloch. (2013). Epigenetics of cellular reprogramming. Current Opinion in Genetics & Development. 23(5). 548–555. 39 indexed citations
15.
Zhang, Tong, Jie Yao, Raga Krishnakumar, et al.. (2012). Regulation of Poly(ADP-ribose) Polymerase-1-dependent Gene Expression through Promoter-directed Recruitment of a Nuclear NAD+ Synthase. Journal of Biological Chemistry. 287(15). 12405–12416. 88 indexed citations
16.
Krishnakumar, Raga & W. Lee Kraus. (2010). PARP-1 Regulates Chromatin Structure and Transcription through a KDM5B-Dependent Pathway. Molecular Cell. 39(5). 736–749. 265 indexed citations
17.
Krishnakumar, Raga & W. Lee Kraus. (2010). The PARP Side of the Nucleus: Molecular Actions, Physiological Outcomes, and Clinical Targets. Molecular Cell. 39(1). 8–24. 697 indexed citations breakdown →
18.
Frizzell, Kristine M., Matthew J. Gamble, Tong Zhang, et al.. (2009). Global Analysis of Transcriptional Regulation by Poly(ADP-ribose) Polymerase-1 and Poly(ADP-ribose) Glycohydrolase in MCF-7 Human Breast Cancer Cells. Journal of Biological Chemistry. 284(49). 33926–33938. 94 indexed citations
19.
Zhang, Tong, Kristine M. Frizzell, Matthew J. Gamble, et al.. (2009). Enzymes in the NAD+ Salvage Pathway Regulate SIRT1 Activity at Target Gene Promoters. Journal of Biological Chemistry. 284(30). 20408–20417. 196 indexed citations
20.
Gamble, Matthew J., Kristine M. Frizzell, Christine Yang, Raga Krishnakumar, & W. Lee Kraus. (2009). The histone variant macroH2A1 marks repressed autosomal chromatin, but protects a subset of its target genes from silencing. Genes & Development. 24(1). 21–32. 136 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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