Prashanth Rajarajan

1.3k total citations
18 papers, 424 citations indexed

About

Prashanth Rajarajan is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Prashanth Rajarajan has authored 18 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Genetics. Recurrent topics in Prashanth Rajarajan's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and CRISPR and Genetic Engineering (4 papers). Prashanth Rajarajan is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and CRISPR and Genetic Engineering (4 papers). Prashanth Rajarajan collaborates with scholars based in United States, Ireland and China. Prashanth Rajarajan's co-authors include Schahram Akbarian, Kristen Brennand, Jessica C. McAfee, Benxia Hu, Hyejung Won, Won Mah, Sergio Espeso‐Gil, Nancy Y. A. Sey, Erin Flaherty and Brigham J. Hartley and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Nature reviews. Neuroscience.

In The Last Decade

Prashanth Rajarajan

16 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashanth Rajarajan United States 9 290 173 34 34 30 18 424
Erin E. Baldwin United States 10 135 0.5× 127 0.7× 31 0.9× 30 0.9× 15 0.5× 15 383
Simona Gaudi Italy 11 236 0.8× 72 0.4× 50 1.5× 18 0.5× 11 0.4× 22 379
Wenjia Song United States 6 228 0.8× 185 1.1× 73 2.1× 146 4.3× 21 0.7× 13 427
Ciara A. Torres United States 5 88 0.3× 57 0.3× 78 2.3× 24 0.7× 84 2.8× 5 389
Chuan Jiao China 9 194 0.7× 55 0.3× 19 0.6× 28 0.8× 11 0.4× 14 286
Laura J. Sittig United States 9 155 0.5× 122 0.7× 32 0.9× 32 0.9× 5 0.2× 15 358
Yong‐Hui Jiang United States 11 155 0.5× 194 1.1× 81 2.4× 73 2.1× 5 0.2× 12 444
Heidi Mateus Colombia 11 165 0.6× 119 0.7× 45 1.3× 33 1.0× 8 0.3× 32 362
Lalit Kaurani Germany 10 207 0.7× 62 0.4× 33 1.0× 15 0.4× 11 0.4× 16 387
Vladislav Bugay United States 9 399 1.4× 100 0.6× 76 2.2× 38 1.1× 14 0.5× 14 533

Countries citing papers authored by Prashanth Rajarajan

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Rajarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Rajarajan

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

All Works

18 of 18 papers shown
1.
Gheihman, Galina, et al.. (2025). Education Research: Bedside Rounding Alliance for Internal Medicine & Neurology (BRAINs). PubMed. 4(2). e200209–e200209.
2.
Quinn, Carson, Prashanth Rajarajan, Alexander J. Gill, et al.. (2024). Neurologic Outcomes in People With Multiple Sclerosis Treated With Immune Checkpoint Inhibitors for Oncologic Indications. Neurology. 103(11). e210003–e210003. 5 indexed citations
3.
Quinn, Carson, Prashanth Rajarajan, Andrew B. Wolf, et al.. (2024). Multi-institutional Study of Neurologic Outcomes in People with Multiple Sclerosis Who Are Treated with Immune Checkpoint Inhibitors for Oncologic Indications (PL4.004). Neurology. 102(7_supplement_1). 2 indexed citations
4.
Quinn, Carson, Prashanth Rajarajan, Andrew B. Wolf, et al.. (2024). Neurologic Outcomes in People with Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder Exposed To Immune Checkpoint Inhibitors. Neurology. 103(7_Supplement_1).
5.
Espeso‐Gil, Sergio, Derek W. Morris, Prashanth Rajarajan, et al.. (2024). SATB2 organizes the 3D genome architecture of cognition in cortical neurons. Molecular Cell. 84(4). 621–639.e9. 7 indexed citations
6.
Chandrasekaran, Sandhya, Sergio Espeso‐Gil, Yong‐Hwee Eddie Loh, et al.. (2021). Neuron-specific chromosomal megadomain organization is adaptive to recent retrotransposon expansions. Nature Communications. 12(1). 7243–7243. 15 indexed citations
7.
Ellis, Randall J., Anissa Bara, Joseph A. Landry, et al.. (2021). Prenatal Δ9-Tetrahydrocannabinol Exposure in Males Leads to Motivational Disturbances Related to Striatal Epigenetic Dysregulation. Biological Psychiatry. 92(2). 127–138. 34 indexed citations
8.
Sey, Nancy Y. A., Benxia Hu, Won Mah, et al.. (2020). A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles. Nature Neuroscience. 23(4). 583–593. 155 indexed citations
9.
Rajarajan, Prashanth, Tyler Borrman, Will Liao, et al.. (2019). Spatial genome exploration in the context of cognitive and neurological disease. Current Opinion in Neurobiology. 59. 112–119. 10 indexed citations
10.
Rajarajan, Prashanth, Erin Flaherty, Schahram Akbarian, & Kristen Brennand. (2019). CRISPR-based functional evaluation of schizophrenia risk variants. Schizophrenia Research. 217. 26–36. 7 indexed citations
11.
Rajarajan, Prashanth & Schahram Akbarian. (2019). Use of the epigenetic toolbox
to contextualize common variants associated with schizophrenia risk. Dialogues in Clinical Neuroscience. 21(4). 407–416. 4 indexed citations
12.
Rajarajan, Prashanth, Yan Jiang, Bibi Kassim, & Schahram Akbarian. (2018). Chromosomal Conformations and Epigenomic Regulation in Schizophrenia. Progress in molecular biology and translational science. 157. 21–40. 14 indexed citations
13.
Ho, Seok‐Man, Brigham J. Hartley, Erin Flaherty, et al.. (2017). Evaluating Synthetic Activation and Repression of Neuropsychiatric-Related Genes in hiPSC-Derived NPCs, Neurons, and Astrocytes. Stem Cell Reports. 9(2). 615–628. 55 indexed citations
14.
Homan, Edwin A., et al.. (2016). Interpreter training for medical students: pilot implementation and assessment in a student-run clinic. BMC Medical Education. 16(1). 256–256. 14 indexed citations
15.
Rajarajan, Prashanth, Sergio Espeso‐Gil, Kristen Brennand, & Schahram Akbarian. (2016). Spatial genome organization and cognition. Nature reviews. Neuroscience. 17(11). 681–691. 57 indexed citations
16.
Topol, Aaron, Jane A. English, Erin Flaherty, et al.. (2015). Increased abundance of translation machinery in stem cell–derived neural progenitor cells from four schizophrenia patients. Translational Psychiatry. 5(10). e662–e662. 43 indexed citations
17.
McAuley, J. Devin, Molly J. Henry, Prashanth Rajarajan, & Karli Nave. (2011). Effect of movement on the metrical interpretation of ambiguous rhythms: Phillips-Silver and Trainor (2007) revisited. Max Planck Digital Library. 1 indexed citations
18.
McAuley, J. Devin, et al.. (2011). Effects of distal pitch and timing of speech and nonspeech precursors on word segmentation.. The Journal of the Acoustical Society of America. 129(4_Supplement). 2683–2683. 1 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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