Geeta Chacko

2.3k total citations
117 papers, 1.6k citations indexed

About

Geeta Chacko is a scholar working on Genetics, Neurology and Epidemiology. According to data from OpenAlex, Geeta Chacko has authored 117 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Genetics, 32 papers in Neurology and 32 papers in Epidemiology. Recurrent topics in Geeta Chacko's work include Glioma Diagnosis and Treatment (39 papers), Meningioma and schwannoma management (23 papers) and Pituitary Gland Disorders and Treatments (22 papers). Geeta Chacko is often cited by papers focused on Glioma Diagnosis and Treatment (39 papers), Meningioma and schwannoma management (23 papers) and Pituitary Gland Disorders and Treatments (22 papers). Geeta Chacko collaborates with scholars based in India, United States and Canada. Geeta Chacko's co-authors include Ari G. Chacko, Vedantam Rajshekhar, Sauradeep Sarkar, Simon Rajaratnam, Sunithi Mani, Krishna Prabhu, Mathew J. Chandy, Claudia S. Robertson, Leela Cherian and Sushil M. Chandi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of neurosurgery and Critical Care Medicine.

In The Last Decade

Geeta Chacko

108 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geeta Chacko India 23 499 483 422 400 379 117 1.6k
Maria Rosa Terreni Italy 23 440 0.9× 567 1.2× 353 0.8× 588 1.5× 366 1.0× 52 1.7k
Sérgio Cavalheiro Brazil 27 358 0.7× 727 1.5× 668 1.6× 337 0.8× 495 1.3× 193 2.5k
Koray Özduman Türkiye 25 525 1.1× 377 0.8× 327 0.8× 107 0.3× 466 1.2× 59 1.6k
Nail Bulakbaşı Türkiye 22 268 0.5× 374 0.8× 480 1.1× 187 0.5× 234 0.6× 83 1.7k
Bhawani S. Sharma India 24 409 0.8× 266 0.6× 730 1.7× 222 0.6× 480 1.3× 113 1.7k
Antônio José da Rocha Brazil 25 331 0.7× 342 0.7× 268 0.6× 162 0.4× 752 2.0× 124 2.1k
Manmohan Singh India 20 515 1.0× 257 0.5× 597 1.4× 186 0.5× 439 1.2× 133 1.6k
Ari G. Chacko India 25 456 0.9× 361 0.7× 760 1.8× 547 1.4× 380 1.0× 110 1.7k
Donald Ming-Tak Ho Taiwan 25 256 0.5× 506 1.0× 410 1.0× 194 0.5× 410 1.1× 50 1.5k
Dattatraya Muzumdar India 20 832 1.7× 219 0.5× 836 2.0× 319 0.8× 519 1.4× 63 1.8k

Countries citing papers authored by Geeta Chacko

Since Specialization
Citations

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

Fields of papers citing papers by Geeta Chacko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geeta Chacko

This figure shows the co-authorship network connecting the top 25 collaborators of Geeta Chacko. A scholar is included among the top collaborators of Geeta Chacko 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 Geeta Chacko. Geeta Chacko 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.
Chacko, Ari G., et al.. (2024). Is radiomics a useful addition to magnetic resonance imaging in the preoperative classification of PitNETs?. Acta Neurochirurgica. 166(1). 91–91. 7 indexed citations
2.
3.
Pai, Rekha, Ari G. Chacko, Leni G. Mathew, et al.. (2022). ZFTA (Zinc Finger Translocation Associated) Fusion in Supratentorial Ependymomas: Low Prevalence in South Asians and No Correlation with Survival. World Neurosurgery. 164. e82–e90. 1 indexed citations
4.
Pai, Rekha, et al.. (2022). Impact of Grade on Survival in Pleomorphic Xanthoastrocytoma and Low Prevalence of BRAF V600E Mutation. World Neurosurgery. 164. e922–e928. 1 indexed citations
5.
Madhuri, Vrisha, et al.. (2022). Abdominal Wall Reconstruction with Tissue-Engineered Mesh Using Muscle-Derived Stem Cells in an Animal Model. Regenerative Engineering and Translational Medicine. 8(4). 535–544. 2 indexed citations
6.
Sarkar, Sauradeep, Hesarghatta Shyamasunder Asha, Nitin Kapoor, et al.. (2021). A clinicoradiological analysis of silent corticotroph adenomas after the introduction of pituitary-specific transcription factors. Acta Neurochirurgica. 163(11). 3143–3154. 15 indexed citations
7.
Santosh, Vani, Sravya Palavalasa, Tejpal Gupta, et al.. (2019). ISNO consensus guidelines for practical adaptation of the WHO 2016 classification of adult diffuse gliomas. Neurology India. 67(1). 173–173. 29 indexed citations
8.
Manesh, Abi, Sunithi Mani, Rajiv Karthik, et al.. (2019). Symptomatic HIV CNS viral escape among patients on effective cART. International Journal of Infectious Diseases. 84. 39–43. 18 indexed citations
9.
10.
Iyadurai, Ramya, et al.. (2017). Leptomeningeal carcinomatosis in a patient with gallbladder carcinoma. Journal of Cytology. 34(2). 118–118. 3 indexed citations
11.
Gunasekaran, Karthik, et al.. (2016). Leprous neuromyositis: A rare clinical entity and review of the literature. Indian Journal of Medical Microbiology. 34(1). 95–97. 1 indexed citations
12.
Sarkar, Sauradeep, et al.. (2015). Pure endoscopic transsphenoidal surgery for functional pituitary adenomas: outcomes with Cushing’s disease. Acta Neurochirurgica. 158(1). 77–86. 30 indexed citations
13.
Chacko, Geeta, et al.. (2015). Clinicopathological correlates of primary central nervous system lymphoma: Experience from a tertiary care center in South India. Neurology India. 63(1). 77–77. 9 indexed citations
14.
Sarkar, Sauradeep, Simon Rajaratnam, Geeta Chacko, & Ari G. Chacko. (2014). Endocrinological outcomes following endoscopic and microscopic transsphenoidal surgery in 113 patients with acromegaly. Clinical Neurology and Neurosurgery. 126. 190–195. 60 indexed citations
15.
Chacko, Ari G., K. Srinivasa Babu, Roy Thomas Daniel, et al.. (2012). Awake craniotomy and electrophysiological mapping for eloquent area tumours. Clinical Neurology and Neurosurgery. 115(3). 329–334. 70 indexed citations
16.
Chacko, Geeta, et al.. (2011). Tectonic corneal graft for conjunctival rhinosporidiosis with scleral melt. Indian Journal of Ophthalmology. 59(3). 251–251. 9 indexed citations
17.
Chacko, Geeta, Ari G. Chacko, Matilde Lombardero, et al.. (2009). Clinicopathologic correlates of giant pituitary adenomas. Journal of Clinical Neuroscience. 16(5). 660–665. 30 indexed citations
18.
Bahuleyan, Biji, et al.. (2008). Epidermoid cysts of the velum interpositum. Journal of Clinical Neuroscience. 15(10). 1159–1161. 5 indexed citations
19.
Chacko, Geeta, et al.. (1998). Argyrophilic nucleolar organizer region proteins (AgNORs) as an index of clinical and radiological invasiveness in pituitary adenomas. British Journal of Neurosurgery. 12(6). 582–584. 3 indexed citations
20.
Chacko, Geeta, Sushil M. Chandi, & Mathew J. Chandy. (1998). Primary sphenoid and petrous apex esthesioneuroblastoma: case report. British Journal of Neurosurgery. 12(3). 264–266. 21 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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