Gokul Ramaswami

6.2k total citations · 2 hit papers
16 papers, 2.0k citations indexed

About

Gokul Ramaswami is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Gokul Ramaswami has authored 16 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Cognitive Neuroscience. Recurrent topics in Gokul Ramaswami's work include Genetic and Kidney Cyst Diseases (4 papers), Genetic Syndromes and Imprinting (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Gokul Ramaswami is often cited by papers focused on Genetic and Kidney Cyst Diseases (4 papers), Genetic Syndromes and Imprinting (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Gokul Ramaswami collaborates with scholars based in United States, United Kingdom and France. Gokul Ramaswami's co-authors include Daniel H. Geschwind, Michael J. Gandal, Christopher Hartl, Edgar A. Otto, Friedhelm Hildebrandt, Luis de la Torre-Ubieta, Neelroop Parikshak, Virpi Leppä, Nicholas Katsanis and Francesc R. García-Gonzalo and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Gokul Ramaswami

16 papers receiving 2.0k citations

Hit Papers

A transition zone complex regulates mammalian ciliogenesi... 2011 2026 2016 2021 2011 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gokul Ramaswami United States 15 1.4k 1.2k 426 161 142 16 2.0k
Ragnheiður Fossdal Iceland 15 987 0.7× 1.5k 1.3× 580 1.4× 130 0.8× 211 1.5× 21 2.2k
Gaia Novarino Austria 18 784 0.6× 440 0.4× 175 0.4× 164 1.0× 96 0.7× 31 1.3k
Linda Schneider United States 22 1.4k 1.0× 960 0.8× 74 0.2× 385 2.4× 92 0.6× 42 2.3k
Philip J. Ebert United States 22 1.1k 0.8× 634 0.5× 571 1.3× 108 0.7× 56 0.4× 36 2.3k
Meral Topçu Türkiye 24 1.4k 1.0× 718 0.6× 195 0.5× 306 1.9× 509 3.6× 85 2.5k
Svetlana G. Vorsanova Russia 31 1.5k 1.1× 2.1k 1.8× 315 0.7× 303 1.9× 452 3.2× 175 3.1k
Zohreh Talebizadeh United States 17 973 0.7× 1.0k 0.9× 422 1.0× 40 0.2× 123 0.9× 31 1.7k
Gabrielle Rudolf France 24 698 0.5× 592 0.5× 394 0.9× 138 0.9× 190 1.3× 69 2.1k
Rachel Wevrick Canada 32 2.5k 1.7× 2.3k 2.0× 135 0.3× 129 0.8× 545 3.8× 73 3.5k
Alfredo Orrico Italy 22 1.1k 0.8× 933 0.8× 339 0.8× 109 0.7× 93 0.7× 61 1.7k

Countries citing papers authored by Gokul Ramaswami

Since Specialization
Citations

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

Fields of papers citing papers by Gokul Ramaswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gokul Ramaswami

This figure shows the co-authorship network connecting the top 25 collaborators of Gokul Ramaswami. A scholar is included among the top collaborators of Gokul Ramaswami 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 Gokul Ramaswami. Gokul Ramaswami 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.
Ramaswami, Gokul, Yeliz Yuva-Aydemir, Brynn N. Akerberg, et al.. (2024). Transcriptional characterization of iPSC-derived microglia as a model for therapeutic development in neurodegeneration. Scientific Reports. 14(1). 2153–2153. 7 indexed citations
2.
Ramaswami, Gokul, et al.. (2021). Gene co-expression network analysis in human spinal cord highlights mechanisms underlying amyotrophic lateral sclerosis susceptibility. Scientific Reports. 11(1). 5748–5748. 15 indexed citations
3.
Hartl, Christopher, Gokul Ramaswami, William G. Pembroke, et al.. (2021). Coexpression network architecture reveals the brain-wide and multiregional basis of disease susceptibility. Nature Neuroscience. 24(9). 1313–1323. 41 indexed citations
4.
Page, Nicholas F., Michael J. Gandal, Myka L. Estes, et al.. (2020). Alterations in Retrotransposition, Synaptic Connectivity, and Myelination Implicated by Transcriptomic Changes Following Maternal Immune Activation in Nonhuman Primates. Biological Psychiatry. 89(9). 896–910. 25 indexed citations
5.
Ramaswami, Gokul, Hyejung Won, Michael J. Gandal, et al.. (2020). Integrative genomics identifies a convergent molecular subtype that links epigenomic with transcriptomic differences in autism. Nature Communications. 11(1). 4873–4873. 61 indexed citations
6.
Wong, Chloe C. Y., Rebecca G. Smith, Eilís Hannon, et al.. (2019). Genome-wide DNA methylation profiling identifies convergent molecular signatures associated with idiopathic and syndromic autism in post-mortem human brain tissue. Human Molecular Genetics. 28(13). 2201–2211. 59 indexed citations
7.
Walker, Rebecca L., Gokul Ramaswami, Christopher Hartl, et al.. (2019). Genetic Control of Expression and Splicing in Developing Human Brain Informs Disease Mechanisms. Cell. 179(3). 750–771.e22. 146 indexed citations
8.
Gandal, Michael J., Jillian R. Haney, Neelroop Parikshak, et al.. (2019). Shared Molecular Neuropathology Across Major Psychiatric Disorders Parallels Polygenic Overlap. FOCUS The Journal of Lifelong Learning in Psychiatry. 17(1). 66–72. 113 indexed citations
9.
Tran, Stephen, Jae Hoon Bahn, Gokul Ramaswami, et al.. (2018). Widespread RNA editing dysregulation in brains from autistic individuals. Nature Neuroscience. 22(1). 25–36. 138 indexed citations
10.
Ramaswami, Gokul & Daniel H. Geschwind. (2018). Genetics of autism spectrum disorder. Handbook of clinical neurology. 147. 321–329. 125 indexed citations
11.
Parikshak, Neelroop, Vivek Swarup, T. Grant Belgard, et al.. (2016). Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism. Nature. 540(7633). 423–427. 445 indexed citations breakdown →
12.
Chaki, Moumita, Julia Hoefele, Susan J. Allen, et al.. (2011). Genotype–phenotype correlation in 440 patients with NPHP-related ciliopathies. Kidney International. 80(11). 1239–1245. 83 indexed citations
13.
Övünç, Buğsu, Edgar A. Otto, Virginia Vega-Warner, et al.. (2011). Exome Sequencing Reveals Cubilin Mutation as a Single-Gene Cause of Proteinuria. Journal of the American Society of Nephrology. 22(10). 1815–1820. 80 indexed citations
14.
García-Gonzalo, Francesc R., Kevin C. Corbit, Ma Salomé Sirerol-Piquer, et al.. (2011). A transition zone complex regulates mammalian ciliogenesis and ciliary membrane composition. Nature Genetics. 43(8). 776–784. 478 indexed citations breakdown →
15.
Otto, Edgar A., Gokul Ramaswami, Sabine Janssen, et al.. (2010). Mutation analysis of 18 nephronophthisis associated ciliopathy disease genes using a DNA pooling and next generation sequencing strategy. Journal of Medical Genetics. 48(2). 105–116. 97 indexed citations
16.
Janssen, Sabine, Gokul Ramaswami, Erica E. Davis, et al.. (2010). Mutation analysis in Bardet–Biedl syndrome by DNA pooling and massively parallel resequencing in 105 individuals. Human Genetics. 129(1). 79–90. 64 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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