Vani Santosh

7.1k total citations · 1 hit paper
183 papers, 4.5k citations indexed

About

Vani Santosh is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Vani Santosh has authored 183 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Genetics, 58 papers in Molecular Biology and 39 papers in Neurology. Recurrent topics in Vani Santosh's work include Glioma Diagnosis and Treatment (79 papers), Neuroblastoma Research and Treatments (18 papers) and Meningioma and schwannoma management (18 papers). Vani Santosh is often cited by papers focused on Glioma Diagnosis and Treatment (79 papers), Neuroblastoma Research and Treatments (18 papers) and Meningioma and schwannoma management (18 papers). Vani Santosh collaborates with scholars based in India, United States and Japan. Vani Santosh's co-authors include Arimappamagan Arivazhagan, Kumaravel Somasundaram, Vikas Patil, Alangar S. Hegde, Bangalore A. Chandramouli, Anupama Hegde, T.C. Yasha, Anjali Arora, Abhirami Visvanathan and Anita Mahadevan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Vani Santosh

176 papers receiving 4.4k citations

Hit Papers

Essential role of METTL3-mediated m6A modification in gli... 2017 2026 2020 2023 2017 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
Vani Santosh India 33 2.1k 1.3k 1.3k 684 549 183 4.5k
Rifat Hamoudi United Kingdom 43 2.7k 1.3× 1.5k 1.2× 1.0k 0.8× 609 0.9× 382 0.7× 257 7.8k
Masaaki Yamamoto Japan 38 1.4k 0.7× 1.1k 0.8× 362 0.3× 666 1.0× 415 0.8× 237 5.0k
Ying Chi China 38 1.7k 0.8× 782 0.6× 973 0.8× 426 0.6× 228 0.4× 131 5.5k
Sidney Croul United States 39 1.7k 0.8× 382 0.3× 650 0.5× 328 0.5× 535 1.0× 90 4.2k
José A. Cancelas United States 49 2.8k 1.4× 465 0.4× 835 0.7× 328 0.5× 463 0.8× 204 6.6k
Gary L. Gallia United States 47 1.8k 0.8× 539 0.4× 1.4k 1.1× 1.4k 2.0× 1.2k 2.3× 235 6.9k
Norio Komatsu Japan 44 2.6k 1.2× 525 0.4× 1.8k 1.4× 267 0.4× 180 0.3× 384 6.7k
Sverre H. Torp Norway 39 863 0.4× 421 0.3× 1.7k 1.4× 1.3k 1.9× 793 1.4× 124 4.5k
Martha Quezado United States 38 1.8k 0.9× 846 0.7× 802 0.6× 930 1.4× 933 1.7× 153 6.8k
Juan F. Garcı́a Spain 42 1.3k 0.6× 559 0.4× 1.0k 0.8× 472 0.7× 460 0.8× 174 5.6k

Countries citing papers authored by Vani Santosh

Since Specialization
Citations

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

Fields of papers citing papers by Vani Santosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vani Santosh

This figure shows the co-authorship network connecting the top 25 collaborators of Vani Santosh. A scholar is included among the top collaborators of Vani Santosh 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 Vani Santosh. Vani Santosh 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.
Wesseling, Pieter, David Capper, Guido Reifenberger, et al.. (2025). cIMPACTNOW update 11: Proposal on adaptation of diagnostic criteria for IDH ‐ and H3 ‐wildtype diffuse high‐grade gliomas and for posterior fossa ependymal tumors. Brain Pathology. 36(1). e70035–e70035. 1 indexed citations
4.
Sadashiva, Nishanth, Dhaval Shukla, Manish Beniwal, et al.. (2024). Thalamic H3K27M altered diffuse midline gliomas: Clinicopathological and outcome analysis. Clinical Neurology and Neurosurgery. 244. 108449–108449.
5.
Rao, Shilpa, et al.. (2023). MYCN amplification in spinal ependymoma: A five‐year retrospective study. Neuropathology. 43(6). 457–462. 1 indexed citations
6.
Buckland, Michael E., Chitra Sarkar, Vani Santosh, et al.. (2023). Announcing the Asian Oceanian Society of Neuropathology guidelines for Adapting Diagnostic Approaches for Practical Taxonomy in Resource‐Restrained Regions (AOSNP‐ADAPTR). Brain Pathology. 34(2). e13201–e13201. 11 indexed citations
8.
Rao, Shilpa, et al.. (2021). Maternal embryonal leucine zipper kinase immunoreactivity in atypical teratoid/rhabdoid tumors: a study of 50 cases. Child s Nervous System. 37(12). 3769–3775. 2 indexed citations
9.
Singh, Pradeep K., et al.. (2021). Combined amino acid PET-MRI for identifying recurrence in post-treatment gliomas: together we grow. SHILAP Revista de lepidopterología. 5(1). 15–15. 12 indexed citations
10.
Shukla, Sudhanshu, Irene Rosita Pia Patric, Sujaya Srinivasan, et al.. (2013). A DNA Methylation Prognostic Signature of Glioblastoma: Identification of NPTX2-PTEN-NF-κB Nexus. Cancer Research. 73(22). 6563–6573. 64 indexed citations
11.
Ramaswamy, Suvasini, Balaram Thota, Sridevi Vijay Shinde, et al.. (2011). Insulin Growth Factor-2 Binding Protein 3 (IGF2BP3) Is a Glioblastoma-specific Marker That Activates Phosphatidylinositol 3-Kinase/Mitogen-activated Protein Kinase (PI3K/MAPK) Pathways by Modulating IGF-2. Journal of Biological Chemistry. 286(29). 25882–25890. 133 indexed citations
12.
Sreekanthreddy, Peddagangannagari, Harish Srinivasan, Durairaj Mohan Kumar, et al.. (2010). Identification of Potential Serum Biomarkers of Glioblastoma: Serum Osteopontin Levels Correlate with Poor Prognosis. Cancer Epidemiology Biomarkers & Prevention. 19(6). 1409–1422. 105 indexed citations
13.
Donakonda, Sainitin, Shipra Agrawal, Balaram Thota, et al.. (2010). Glioblastoma-Specific Protein Interaction Network Identifies PP1A and CSK21 as Connecting Molecules between Cell Cycle–Associated Genes. Cancer Research. 70(16). 6437–6447. 19 indexed citations
14.
Somasundaram, Kumaravel, Katyayni Vinnakota, Ramona Britto, et al.. (2005). Upregulation of ASCL1 and inhibition of Notch signaling pathway characterize progressive astrocytoma. Oncogene. 24(47). 7073–7083. 99 indexed citations
15.
Dubey, Arvind, et al.. (2005). Intracranial fungal granuloma: analysis of 40 patients and review of the literature. Surgical Neurology. 63(3). 254–260. 123 indexed citations
16.
Mahadevan, Anita, et al.. (2003). A rare case of cellular schwannoma involving the trigeminal ganglion. Brain Tumor Pathology. 20(2). 79–83. 8 indexed citations
17.
Shankar, S K, et al.. (2002). Glioneuronal migration and development disorders: histological and immunohistochemical study with a comment on evolution.. PubMed. 50(4). 444–51. 9 indexed citations
18.
Santosh, Vani, et al.. (2001). Giant orbital and intracranial xanthogranuloma--a short report.. PubMed. 49(2). 208–10. 4 indexed citations
19.
Mahadevan, Anita, Anil Kumar, Vani Santosh, P Satishchandra, & S.K. Shankar. (2000). Multiple Cranial Nerve Involvement In Cryptococcal Meningitis. SHILAP Revista de lepidopterología. 3 indexed citations
20.
Gayathri, Narayanappa, et al.. (1999). Metabolic Disorders Presenting as Vacuolar Myopathy. SHILAP Revista de lepidopterología. 2 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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