Aruna Chakrabarty

1.5k total citations
49 papers, 932 citations indexed

About

Aruna Chakrabarty is a scholar working on Genetics, Neurology and Epidemiology. According to data from OpenAlex, Aruna Chakrabarty has authored 49 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 14 papers in Neurology and 10 papers in Epidemiology. Recurrent topics in Aruna Chakrabarty's work include Glioma Diagnosis and Treatment (18 papers), Meningioma and schwannoma management (7 papers) and Head and Neck Surgical Oncology (5 papers). Aruna Chakrabarty is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), Meningioma and schwannoma management (7 papers) and Head and Neck Surgical Oncology (5 papers). Aruna Chakrabarty collaborates with scholars based in United Kingdom, United States and Sweden. Aruna Chakrabarty's co-authors include Azzam Ismail, Thomas G. Beach, Adrian Smith, Christopher Buckley, Kerstin Heurling, Dietmar Rudolf Thal, Paul Chumas, Michelle Zanette, Leslie Bridges and Gill Farrar and has published in prestigious journals such as Journal of Biological Chemistry, Brain and International Journal of Cancer.

In The Last Decade

Aruna Chakrabarty

47 papers receiving 904 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aruna Chakrabarty United Kingdom 18 217 209 195 194 186 49 932
Noemí Vidal Spain 19 166 0.8× 109 0.5× 195 1.0× 263 1.4× 230 1.2× 65 936
R. Plasmati Italy 22 146 0.7× 74 0.4× 451 2.3× 327 1.7× 124 0.7× 42 1.5k
L. Robert Hill United States 21 386 1.8× 138 0.7× 174 0.9× 150 0.8× 75 0.4× 35 1.6k
Elena Prieto Spain 21 143 0.7× 123 0.6× 298 1.5× 150 0.8× 122 0.7× 72 1.2k
J. Viaño Spain 17 136 0.6× 91 0.4× 342 1.8× 140 0.7× 78 0.4× 61 869
Anna Maria Buccoliero Italy 20 89 0.4× 60 0.3× 122 0.6× 346 1.8× 274 1.5× 62 1.1k
Boleslaw H. Liwnicz United States 24 219 1.0× 299 1.4× 456 2.3× 388 2.0× 457 2.5× 57 1.6k
Marios Themistocleous Greece 19 103 0.5× 78 0.4× 409 2.1× 254 1.3× 172 0.9× 83 1.1k
Sung Jun Ahn South Korea 19 75 0.3× 369 1.8× 283 1.5× 209 1.1× 140 0.8× 95 1.2k
Elena Martínez‐Sáez Spain 21 154 0.7× 185 0.9× 242 1.2× 777 4.0× 387 2.1× 64 1.6k

Countries citing papers authored by Aruna Chakrabarty

Since Specialization
Citations

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

Fields of papers citing papers by Aruna Chakrabarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruna Chakrabarty

This figure shows the co-authorship network connecting the top 25 collaborators of Aruna Chakrabarty. A scholar is included among the top collaborators of Aruna Chakrabarty 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 Aruna Chakrabarty. Aruna Chakrabarty 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.
Currie, Stuart, Kavi Fatania, Russell Frood, et al.. (2023). Imaging Spectrum of the Developing Glioblastoma: A Cross-Sectional Observation Study. Current Oncology. 30(7). 6682–6698. 4 indexed citations
2.
Lodha, Disha, Steven Pollock, Gemma Hemmings, et al.. (2023). GBMdeconvoluteR accurately infers proportions of neoplastic and immune cell populations from bulk glioblastoma transcriptomics data. Neuro-Oncology. 25(7). 1236–1248. 10 indexed citations
3.
Schramm, Moritz, Stuart Currie, Laurent J. Livermore, et al.. (2023). Do animal models of brain tumors replicate human peritumoral edema? a systematic literature search. Journal of Neuro-Oncology. 161(3). 451–467. 1 indexed citations
4.
Thomas, Morgan, Martina Finetti, Steven Pollock, et al.. (2023). PREDICTING GLIOBLASTOMA GENE EXPRESSION THERAPY RESPONSE WITH MACHINE LEARNING. Neuro-Oncology. 25(Supplement_3). iii13–iii14. 1 indexed citations
5.
Thal, Dietmar Rudolf, Thomas G. Beach, Michelle Zanette, et al.. (2018). Estimation of amyloid distribution by [18F]flutemetamol PET predicts the neuropathological phase of amyloid β-protein deposition. Acta Neuropathologica. 136(4). 557–567. 38 indexed citations
6.
Ikonomović, Miloš D., Christopher Buckley, Kerstin Heurling, et al.. (2016). Post-mortem histopathology underlying β-amyloid PET imaging following flutemetamol F 18 injection. Acta Neuropathologica Communications. 4(1). 130–130. 74 indexed citations
7.
Sinha, Priyank, Maleeha Ahmad, Azzam Ismail, et al.. (2014). Atypical teratoid rhabdoid tumour of the spine: report of a case and literature review. European Spine Journal. 24(S4). 472–484. 20 indexed citations
8.
Sinha, Priyank, Paul Chumas, Yahia Al-Tamimi, et al.. (2013). Occurrence and distribution of pilomyxoid astrocytoma. British Journal of Neurosurgery. 27(4). 413–418. 17 indexed citations
9.
Turnbull, Julie, Hannes Lohi, Elayne M. Chan, et al.. (2012). Early-onset Lafora body disease. Brain. 135(9). 2684–2698. 55 indexed citations
10.
Al‐Owais, Moza M., Jason L. Scragg, Mark Dallas, et al.. (2012). Carbon Monoxide Mediates the Anti-apoptotic Effects of Heme Oxygenase-1 in Medulloblastoma DAOY Cells via K+ Channel Inhibition. Journal of Biological Chemistry. 287(29). 24754–24764. 55 indexed citations
11.
Pal, Debasish, et al.. (2010). Metastatic malignant melanoma within meningioma with intratumoral infarct: report of an unusual case and literature review. Clinical Neuropathology. 29(3). 105–108. 8 indexed citations
12.
Németh, Pèter, et al.. (2010). The conjugation of an AQP1-directed immunotoxin in the study of site-directed therapy within the CNS. Child s Nervous System. 27(5). 811–818. 5 indexed citations
13.
Pal, Debashish, Gillian L. Hall, Carmel Loughrey, et al.. (2008). Primitive neuroectodermal tumour arising within low grade astrocytoma: transformation,de novoor radiation induced? Report of three cases and review of literature. British Journal of Neurosurgery. 22(3). 402–408. 1 indexed citations
14.
Chumas, Paul, et al.. (2006). Gorham’s disease of skull base and cervical spine – confusing picture in a two year old. Acta Neurochirurgica. 148(8). 909–913. 14 indexed citations
15.
Shivane, Aditya G., et al.. (2006). A rare case of recurrent secretory meningioma with malignant transformation. British Journal of Neurosurgery. 20(4). 250–253. 3 indexed citations
16.
Pal, Debashish, et al.. (2006). Cervical spine metastasis from adrenal pheochromocytoma. Acta Neurochirurgica. 148(11). 1219–1220. 13 indexed citations
17.
Pavlou, G., Debasish Pal, Sorin Bucur, Aruna Chakrabarty, & P. T. van Hille. (2006). Intracranial Non-Hodgkin’s MALT lymphoma mimicking a large convexity meningioma. Acta Neurochirurgica. 148(7). 791–793. 17 indexed citations
18.
Khandwala, Mona, et al.. (2005). Outcome of Periocular Basal Cell Carcinoma Managed by Overnight Paraffin Section. Orbit. 24(4). 243–247. 7 indexed citations
19.
Timothy, Jake, et al.. (1999). Olfactory Groove Schwannoma Revisited. Acta Neurochirurgica. 141(6). 671–672. 21 indexed citations
20.
Chakrabarty, Aruna, et al.. (1998). Craniopharyngioma invading the nasal and paranasal spaces, and presenting as nasal obstruction. British Journal of Neurosurgery. 12(4). 361–363. 9 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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