Arjun Raj

26.4k total citations · 9 hit papers
116 papers, 16.7k citations indexed

About

Arjun Raj is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Arjun Raj has authored 116 papers receiving a total of 16.7k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Arjun Raj's work include RNA Research and Splicing (28 papers), Single-cell and spatial transcriptomics (27 papers) and Gene Regulatory Network Analysis (24 papers). Arjun Raj is often cited by papers focused on RNA Research and Splicing (28 papers), Single-cell and spatial transcriptomics (27 papers) and Gene Regulatory Network Analysis (24 papers). Arjun Raj collaborates with scholars based in United States, Germany and United Kingdom. Arjun Raj's co-authors include Alexander van Oudenaarden, Sanjay Tyagi, Scott A. Rifkin, John L. Rinn, Diana Vargas, Charles S. Peskin, Daniel Tranchina, Aviv Regev, Erik C. Andersen and Eric S. Lander and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Arjun Raj

105 papers receiving 16.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression

2009 2.3k citations Ahmad M. Khalil, Mitchell Guttman et al. Proceedings of the National Academy of Sciences profile →
Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences

2008 1.8k citations Arjun Raj, Alexander van Oudenaarden profile →
Imaging individual mRNA molecules using multiple singly labeled probes

2008 1.5k citations Arjun Raj, Scott A. Rifkin et al. Nature Methods profile →
Stochastic mRNA Synthesis in Mammalian Cells

2006 1.3k citations Arjun Raj et al. profile →
Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance

2017 756 citations Sydney M. Shaffer, Margaret C. Dunagin et al. profile →
Control of somatic tissue differentiation by the long non-coding RNA TINCR

2012 742 citations Arjun Raj, John L. Rinn et al. profile →
Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution

2015 528 citations Margaret C. Dunagin, Aviv Regev et al. profile →
Topological organization of multichromosomal regions by the long intergenic noncoding RNA Firre

2014 490 citations Eric S. Lander, Arjun Raj et al. profile →
SAVER: gene expression recovery for single-cell RNA sequencing

2018 458 citations Mo Huang, Jingshu Wang et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arjun Raj United States	50	14.4k	5.0k	2.1k	1.3k	955	116	16.7k
William J. Greenleaf United States	60	16.2k 1.1×	2.7k 0.5×	2.5k 1.2×	840 0.6×	1.6k 1.7×	143	20.7k
Guo‐Cheng Yuan United States	58	11.9k 0.8×	2.0k 0.4×	1.5k 0.7×	794 0.6×	2.1k 2.2×	145	15.2k
Kaiqin Lao United States	30	8.4k 0.6×	3.5k 0.7×	1.2k 0.6×	600 0.5×	838 0.9×	48	10.7k
Amos Tanay Israel	50	11.8k 0.8×	1.6k 0.3×	1.7k 0.8×	618 0.5×	1.2k 1.3×	94	14.4k
David L. Spector United States	84	24.5k 1.7×	8.1k 1.6×	2.3k 1.1×	874 0.7×	1.8k 1.9×	188	28.9k
Jason Moffat Canada	56	11.9k 0.8×	1.4k 0.3×	1.3k 0.6×	1.9k 1.4×	2.2k 2.3×	168	16.3k
Itai Yanai United States	39	6.4k 0.4×	1.5k 0.3×	1.2k 0.6×	560 0.4×	911 1.0×	90	9.1k
Lars M. Steinmetz Germany	68	18.3k 1.3×	2.1k 0.4×	2.7k 1.3×	312 0.2×	814 0.9×	219	22.6k
David E. Root United States	68	17.0k 1.2×	3.6k 0.7×	2.1k 1.0×	498 0.4×	4.1k 4.3×	223	24.9k
Tarjei S. Mikkelsen United States	44	26.3k 1.8×	6.1k 1.2×	5.4k 2.6×	454 0.3×	1.9k 1.9×	65	31.8k

Countries citing papers authored by Arjun Raj

Since Specialization

Citations

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

Fields of papers citing papers by Arjun Raj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Raj

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Manthey, David, et al.. (2025). NimbusImage: a cloud-computing platform for image analysis. Nature Methods. 23(1). 6–8.

Raj, Arjun, et al.. (2025). Wheat Disease Detection Using Deep Convolutional Neural Networks: A Machine Learning Approach to Resolve the Agricultural Intrusion. Journal of Neonatal Surgery. 14(1S). 828–836.

Golubić, Rajna, Andre Choo, Omer Baker, et al.. (2024). Glucocorticoid treatment and new‐onset hyperglycaemia and diabetes in people living with chronic obstructive pulmonary disease: A systematic review and meta‐analysis. Diabetic Medicine. 42(3). e15475–e15475.

Ayyappan, Vinay, et al.. (2022). Allelic correlation is a marker of trade-offs between barriers to transmission of expression variability and signal responsiveness in genetic networks. Cell Systems. 13(12). 1016–1032.e6. 2 indexed citations

Sheng, Lihong, Emily Shields, Janko Gospočić, et al.. (2020). Social reprogramming in ants induces longevity-associated glia remodeling. Science Advances. 6(34). eaba9869–eaba9869. 51 indexed citations

Symmons, Orsolya, Marcello Chang, Ian A. Mellis, et al.. (2019). Allele-specific RNA imaging shows that allelic imbalances can arise in tissues through transcriptional bursting. PLoS Genetics. 15(1). e1007874–e1007874. 23 indexed citations

Wang, Jingshu, Mo Huang, Eduardo A. Torre, et al.. (2018). Gene expression distribution deconvolution in single-cell RNA sequencing. Proceedings of the National Academy of Sciences. 115(28). E6437–E6446. 63 indexed citations

Haimovich, Gal, et al.. (2017). Intercellular mRNA trafficking via membrane nanotube-like extensions in mammalian cells. Proceedings of the National Academy of Sciences. 114(46). E9873–E9882. 72 indexed citations

McDougal, Lotus, et al.. (2017). Amra-o-Korchi (We are also doing): Bangladesh.. Culture Health & Sexuality. 83. 40 indexed citations

10.

Palozola, Katherine C., Greg Donahue, Hong Liu, et al.. (2017). Mitotic transcription and waves of gene reactivation during mitotic exit. Science. 358(6359). 119–122. 168 indexed citations

11.

Xu, Jie, Yan Sun, Yize Li, et al.. (2017). Replication defective viral genomes exploit a cellular pro-survival mechanism to establish paramyxovirus persistence. Nature Communications. 8(1). 799–799. 62 indexed citations

12.

Lee, Ki‐Won, Chris C.‐S. Hsiung, Peng Huang, Arjun Raj, & Gerd A. Blobel. (2015). Dynamic enhancer–gene body contacts during transcription elongation. Genes & Development. 29(19). 1992–1997. 60 indexed citations

13.

Paralkar, Vikram R., Tejaswini Mishra, Jing Luan, et al.. (2014). Lineage and species-specific long noncoding RNAs during erythro-megakaryocytic development. Blood. 123(12). 1927–1937. 133 indexed citations

14.

Nair, Gautham, Travis Walton, John I. Murray, & Arjun Raj. (2013). Gene transcription is coordinated with, but not dependent on, cell divisions during C. elegans embryonic fate specification. Development. 140(16). 3385–3394. 25 indexed citations

15.

Levesque, Marshall J., et al.. (2013). Visualizing SNVs to quantify allele-specific expression in single cells. Nature Methods. 10(9). 865–867. 87 indexed citations

16.

Steine, Eveline J., Mathias Ehrich, George W. Bell, et al.. (2011). Genes methylated by DNA methyltransferase 3b are similar in mouse intestine and human colon cancer. Journal of Clinical Investigation. 121(5). 1748–1752. 55 indexed citations

17.

Oudenaarden, Alexander van, Scott A. Rifkin, Arjun Raj, & Erik C. Andersen. (2010). Variability in gene expression underlies incomplete penetrance. DSpace@MIT (Massachusetts Institute of Technology). 357 indexed citations

18.

Khalil, Ahmad M., Mitchell Guttman, Maite Huarte, et al.. (2009). Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression. Proceedings of the National Academy of Sciences. 106(28). 11667–11672. 2331 indexed citations breakdown →

19.

Maamar, Hédia, Arjun Raj, & David Dubnau. (2007). Noise in Gene Expression Determines Cell Fate in Bacillus subtilis. Science. 317(5837). 526–529. 483 indexed citations

20.

Phan, T. D., G. Paschmann, Arjun Raj, et al.. (1998). Wind Observations of the Halo/Cold Plasma Sheet. 238. 219. 6 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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