Ayyappan Anitha

2.0k total citations
38 papers, 1.1k citations indexed

About

Ayyappan Anitha is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Ayyappan Anitha has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Genetics and 12 papers in Cognitive Neuroscience. Recurrent topics in Ayyappan Anitha's work include Genetics and Neurodevelopmental Disorders (14 papers), Autism Spectrum Disorder Research (10 papers) and MicroRNA in disease regulation (6 papers). Ayyappan Anitha is often cited by papers focused on Genetics and Neurodevelopmental Disorders (14 papers), Autism Spectrum Disorder Research (10 papers) and MicroRNA in disease regulation (6 papers). Ayyappan Anitha collaborates with scholars based in Japan, India and United States. Ayyappan Anitha's co-authors include Ismail Thanseem, Katsuaki Suzuki, Norio Mori, Mahesh Mundalil Vasu, Masatsugu Tsujii, Yasuhide Iwata, Kazuhiko Nakamura, Hideo Matsuzaki, Keiko Iwata and Toshiro Sugiyama and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and Annals of the New York Academy of Sciences.

In The Last Decade

Ayyappan Anitha

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayyappan Anitha Japan 17 492 353 329 178 112 38 1.1k
Ismail Thanseem Japan 15 462 0.9× 317 0.9× 262 0.8× 165 0.9× 98 0.9× 28 877
Keiko Iwata Japan 18 521 1.1× 368 1.0× 479 1.5× 131 0.7× 190 1.7× 47 1.4k
Ciara Fahey Ireland 19 572 1.2× 286 0.8× 254 0.8× 105 0.6× 136 1.2× 25 1.2k
Mark N. Ziats United States 16 617 1.3× 409 1.2× 352 1.1× 264 1.5× 91 0.8× 20 1.1k
Tomoyasu Wakuda Japan 13 281 0.6× 236 0.7× 370 1.1× 102 0.6× 140 1.3× 21 921
Virpi Leppä United States 9 645 1.3× 542 1.5× 421 1.3× 91 0.5× 88 0.8× 11 1.1k
Toshirou Sugiyama Japan 9 244 0.5× 288 0.8× 448 1.4× 103 0.6× 71 0.6× 11 933
Simone Gupta United States 14 422 0.9× 328 0.9× 264 0.8× 76 0.4× 66 0.6× 19 876
Aaron J. Towers United States 10 516 1.0× 328 0.9× 265 0.8× 53 0.3× 129 1.2× 11 1.2k
Andreas G. Chiocchetti Germany 17 474 1.0× 335 0.9× 284 0.9× 65 0.4× 77 0.7× 50 983

Countries citing papers authored by Ayyappan Anitha

Since Specialization
Citations

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

Fields of papers citing papers by Ayyappan Anitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayyappan Anitha

This figure shows the co-authorship network connecting the top 25 collaborators of Ayyappan Anitha. A scholar is included among the top collaborators of Ayyappan Anitha 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 Ayyappan Anitha. Ayyappan Anitha 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.
Vasu, Mahesh Mundalil, Sanjay Ganapathi, Panniyammakal Jeemon, et al.. (2024). Identification of novel endogenous control miRNAs in heart failure for normalization of qPCR data. International Journal of Biological Macromolecules. 261(Pt 2). 129714–129714. 3 indexed citations
2.
Anitha, Ayyappan, et al.. (2024). Rare Pathogenic Variants Identified in Whole Exome Sequencing of Monozygotic Twins With Autism Spectrum Disorder. Pediatric Neurology. 158. 113–123. 2 indexed citations
3.
Anitha, Ayyappan, et al.. (2022). MECP2 Mutations in the Rett Syndrome Patients from South India. Neurology India. 70(1). 249–253. 2 indexed citations
4.
Anitha, Ayyappan, et al.. (2021). Electroencephalography based detection of cognitive state during learning tasks: An extensive approach. 25(2). 157–178. 8 indexed citations
5.
6.
Anitha, Ayyappan, et al.. (2019). Telomeres in neurological disorders. Advances in clinical chemistry. 90. 81–132. 39 indexed citations
7.
Anitha, Ayyappan, et al.. (2017). IN SILICO TARGET IDENTIFICATION OF NOOTROPIC BIOACTIVE COMPOUNDS FROM AYURVEDIC HERBS. International Journal of Ayurveda and Pharma Research. 5(4). 1 indexed citations
8.
Anitha, Ayyappan, et al.. (2016). Exposure to Violence among Adolescents in Families with Domestic Violence. 8(2). 34–45. 3 indexed citations
9.
Anitha, Ayyappan, et al.. (2016). Prevalence of autism spectrum disorders in a semiurban community in south India. Annals of Epidemiology. 26(9). 663–665.e8. 45 indexed citations
10.
Vasu, Mahesh Mundalil, Ayyappan Anitha, Taro Takahashi, et al.. (2016). Fluoxetine Increases the Expression of miR-572 and miR-663a in Human Neuroblastoma Cell Lines. PLoS ONE. 11(10). e0164425–e0164425. 14 indexed citations
11.
Anitha, Ayyappan & Ismail Thanseem. (2015). microRNA and Autism. Advances in experimental medicine and biology. 888. 71–83. 23 indexed citations
12.
Wakuda, Tomoyasu, Keiko Iwata, Yasuhide Iwata, et al.. (2014). Perinatal asphyxia alters neuregulin-1 and COMT gene expression in the medial prefrontal cortex in rats. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 56. 149–154. 13 indexed citations
13.
Vasu, Mahesh Mundalil, Ayyappan Anitha, Ismail Thanseem, et al.. (2014). Serum microRNA profiles in children with autism. Molecular Autism. 5(1). 40–40. 172 indexed citations
14.
Thanseem, Ismail, Ayyappan Anitha, Kazuhiko Nakamura, et al.. (2011). Elevated Transcription Factor Specificity Protein 1 in Autistic Brains Alters the Expression of Autism Candidate Genes. Biological Psychiatry. 71(5). 410–418. 39 indexed citations
15.
Thanseem, Ismail, Kazuhiko Nakamura, Ayyappan Anitha, et al.. (2011). Association of Transcription Factor Gene LMX1B with Autism. PLoS ONE. 6(8). e23738–e23738. 7 indexed citations
16.
Suda, Shiro, Keiko Iwata, Yosuke Kameno, et al.. (2011). Decreased expression of axon-guidance receptors in the anterior cingulate cortex in autism. Molecular Autism. 2(1). 14–14. 73 indexed citations
17.
Suzuki, Katsuaki, Yasuhide Iwata, Hideo Matsuzaki, et al.. (2010). Reduced expression of apolipoprotein E receptor type 2 in peripheral blood lymphocytes from patients with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 34(6). 1007–1010. 13 indexed citations
18.
Iwata, Yasuhide, Kazuo Yamada, Yoshimi Iwayama, et al.. (2010). Failure to confirm genetic association of the FXYD6 gene with schizophrenia: The Japanese population and meta‐analysis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(6). 1221–1227. 7 indexed citations
19.
Nakamura, Kazuhiko, Ayyappan Anitha, Kazuo Yamada, et al.. (2008). Genetic and expression analyses reveal elevated expression of syntaxin 1A ( STX1A) in high functioning autism. The International Journal of Neuropsychopharmacology. 11(8). 1073–1073. 62 indexed citations
20.
Verghese, Susan T., et al.. (2002). A comparative study of the intestinal parasites prevalent among children living in rural and urban settings in and around Chennai.. PubMed. 34(1). 35–9. 40 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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