Arun Shastry

412 total citations
18 papers, 330 citations indexed

About

Arun Shastry is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Arun Shastry has authored 18 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Genetics. Recurrent topics in Arun Shastry's work include Muscle Physiology and Disorders (4 papers), Immune Cell Function and Interaction (4 papers) and Diabetes and associated disorders (4 papers). Arun Shastry is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Immune Cell Function and Interaction (4 papers) and Diabetes and associated disorders (4 papers). Arun Shastry collaborates with scholars based in India, Sweden and Latvia. Arun Shastry's co-authors include Arimappamagan Arivazhagan, Vani Santosh, Carani B. Sanjeevi, Saikiran K. Sedimbi, I. Rumba, Paturu Kondaiah, Raja Rajalingam, Milind M. Muley, Shridhar Narayanan and Ambrish Saxena and has published in prestigious journals such as Biochemical Journal, Annals of the New York Academy of Sciences and Nanoscale.

In The Last Decade

Arun Shastry

16 papers receiving 323 citations

Peers

Arun Shastry
Comparison fields: 5 of 70
  • Molecular Biology 196
  • Immunology 94
  • Oncology 69
  • Cancer Research 59
  • Genetics 45
Juri Na South Korea
Soumen Chakraborty India
Cornelia Schuster Norway
Anita Klous Netherlands
Weihong Xu United States
Ciarán J. Mooney Ireland
Santina Venuto Italy
Alana M. Neale Australia
Chun‐Wai Ko Hong Kong
Tina Nilsson Sweden
Juri Na South Korea View profile →
Citations per field, relative to Arun Shastry
Arun Shastry · 1×
Citations per year, relative to Arun Shastry
Arun Shastry · 1×

Countries citing papers authored by Arun Shastry

Since Specialization
Citations

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

Fields of papers citing papers by Arun Shastry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Shastry

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Shastry. A scholar is included among the top collaborators of Arun Shastry 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 Arun Shastry. Arun Shastry 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
# Title Journal Authors Indexed citations
1 Advancing antisense oligonucleotide delivery through click chemistry based chemical conjugation with designed short non-cationic peptides for Duchenne muscular dystrophy Methods Satyajit Ghosh, Nabanita Mukherjee et al. 0
2 Hydroxyapatite nanoparticle mediated delivery of full length dystrophin gene as a potential therapeutic for the treatment of Duchenne muscular dystrophy Nanoscale Indrani Talukdar, Sutapa Roy Ramanan et al. 0
3 Generation of two induced pluripotent stem cell (iPSC) lines from patients with Duchenne muscular dystrophy (IGIBi006-A and IGIBi008-A) carrying exonic deletions in the dystrophin gene Stem Cell Research Istaq Ahmad, Deepak Kumar et al. 1
4 Development and validation of machine learning prediction model for post-rehabilitation functional outcome after intracerebral hemorrhage Interdisciplinary Neurosurgery Shinya Sonobe, Tetsuo Ishikawa et al. 5
5 Matrilineal analysis of mutations in the DMD gene in a multigenerational South Indian cohort using DMD gene panel sequencing Molecular Genetics & Genomic Medicine Arun Shastry, Vedam L. Ramprasad et al. 5
6 Targeted sequencing of the DMD locus The Indian Journal of Medical Research Ashraf U. Mannan, Upendra Nongthomba et al. 13
7 Insulin-like growth factor binding protein-2 regulates β-catenin signaling pathway in glioma cells and together contributes to poor patient prognosis Neuro-Oncology Shilpa Patil, Priyanka Gokulnath et al. 22
8 Nuclear Protein Phosphatase 1 α (PP1A) Expression is Associated with Poor Prognosis in p53 Expressing Glioblastomas Pathology & Oncology Research Arun Shastry, Balaram Thota et al. 12
9 Manganese superoxide dismutase (MnSOD) is a malignant astrocytoma specific biomarker and associated with adverse prognosis in p53 expressing glioblastoma Pathology - Research and Practice Arun Shastry, Arimappamagan Arivazhagan et al. 13
10 STAT-1 expression is regulated by IGFBP-3 in malignant glioma cells and is a strong predictor of poor survival in patients with glioblastoma Journal of neurosurgery Balaram Thota, Arimappamagan Arivazhagan et al. 30
11 Expression Patterns of Insulin-Like Growth Factor Binding Protein Isoforms in Medulloblastoma Subtypes and Clinical Correlation Pediatric Neurosurgery Arun Shastry, Balaram Thota et al. 2
12 Tubastatin, a selective histone deacetylase 6 inhibitor shows anti-inflammatory and anti-rheumatic effects International Immunopharmacology Santosh Vishwakarma, Milind M. Muley et al. 107
13 Regulation of S100A2 expression by TGF-β-induced MEK/ERK signalling and its role in cell migration/invasion Biochemical Journal Sarwat Naz, Prathibha Ranganathan et al. 36
14 Different KIRs Confer Susceptibility and Protection to Adults with Latent Autoimmune Diabetes in Latvian and Asian Indian Populations Annals of the New York Academy of Sciences Arun Shastry, Saikiran K. Sedimbi et al. 15
15 Combination of KIR 2DL2 and HLA‐C1 (Asn80) confers susceptibility to type 1 diabetes in Latvians International Journal of Immunogenetics Arun Shastry, Saikiran K. Sedimbi et al. 32
16 No association of SUMO4 M55V with autoimmune diabetes in Asian‐Indian patients International Journal of Immunogenetics Saikiran K. Sedimbi, Alok Kumar Kanungo et al. 7
17 MICA marks additional risk factors for Type 1 diabetes on extended HLA haplotypes: An association and meta-analysis Molecular Immunology Behrooz Z. Alizadeh, Peter Eerligh et al. 20
18 Association of SUMO4 M55V Polymorphism with Autoimmune Diabetes in Latvian Patients Annals of the New York Academy of Sciences Saikiran K. Sedimbi, Arun Shastry et al. 10

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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