T.R. Kapilamoorthy

583 total citations
29 papers, 306 citations indexed

About

T.R. Kapilamoorthy is a scholar working on Neurology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, T.R. Kapilamoorthy has authored 29 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 10 papers in Surgery and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in T.R. Kapilamoorthy's work include Vascular Malformations Diagnosis and Treatment (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). T.R. Kapilamoorthy is often cited by papers focused on Vascular Malformations Diagnosis and Treatment (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). T.R. Kapilamoorthy collaborates with scholars based in India and Norway. T.R. Kapilamoorthy's co-authors include Chandrasekharan Kesavadas, Bejoy Thomas, Amod Gupta, Kannath Santhosh, Krishnamoorthy Thamburaj, Arun Kumar Gupta, V. V. Radhakrishnan, S. Purkayastha, Mathew Abraham and Neelima Radhakrishnan and has published in prestigious journals such as The Annals of Thoracic Surgery, American Journal of Neuroradiology and Journal of Magnetic Resonance Imaging.

In The Last Decade

T.R. Kapilamoorthy

28 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.R. Kapilamoorthy India 9 129 111 100 80 50 29 306
Martin Sameš Czechia 12 167 1.3× 86 0.8× 107 1.1× 82 1.0× 45 0.9× 56 371
Kannath Santhosh India 9 142 1.1× 163 1.5× 113 1.1× 98 1.2× 46 0.9× 17 318
Anant Naik United States 10 92 0.7× 65 0.6× 53 0.5× 44 0.6× 53 1.1× 67 296
Daniel Pinggera Austria 12 146 1.1× 71 0.6× 46 0.5× 61 0.8× 71 1.4× 50 388
Fee Keil Germany 10 102 0.8× 58 0.5× 72 0.7× 48 0.6× 49 1.0× 43 317
Jeevak Almast United States 10 200 1.6× 169 1.5× 123 1.2× 171 2.1× 56 1.1× 20 529
L Barletta Italy 11 44 0.3× 87 0.8× 93 0.9× 69 0.9× 60 1.2× 19 329
Bik Ling Man China 10 113 0.9× 96 0.9× 52 0.5× 107 1.3× 42 0.8× 33 378
Hisaya Hiramatsu Japan 11 198 1.5× 67 0.6× 66 0.7× 73 0.9× 37 0.7× 34 294
Samantha E. Schoeneman United States 9 148 1.1× 93 0.8× 69 0.7× 47 0.6× 70 1.4× 12 335

Countries citing papers authored by T.R. Kapilamoorthy

Since Specialization
Citations

This map shows the geographic impact of T.R. Kapilamoorthy'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 T.R. Kapilamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.R. Kapilamoorthy more than expected).

Fields of papers citing papers by T.R. Kapilamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.R. Kapilamoorthy. 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 T.R. Kapilamoorthy. The network helps show where T.R. Kapilamoorthy may publish in the future.

Co-authorship network of co-authors of T.R. Kapilamoorthy

This figure shows the co-authorship network connecting the top 25 collaborators of T.R. Kapilamoorthy. A scholar is included among the top collaborators of T.R. Kapilamoorthy 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 T.R. Kapilamoorthy. T.R. Kapilamoorthy 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.
Kapilamoorthy, T.R., et al.. (2023). Spontaneous cerebrospinal fluid fistula secondary to hyper-pneumatized paranasal sinuses and skull base: two case reports. The Egyptian Journal of Radiology and Nuclear Medicine. 54(1). 1 indexed citations
2.
Sivasankaran, S, et al.. (2020). Prognostic value of late gadolinium enhancement in cardiac MRI of non-ischemic dilated cardiomyopathy patients. Indian Heart Journal. 72(5). 362–368. 11 indexed citations
3.
Kesavadas, Chandrasekharan, et al.. (2017). Combining Diffusion Tensor Metrics and DSC Perfusion Imaging: Can It Improve the Diagnostic Accuracy in Differentiating Tumefactive Demyelination from High-Grade Glioma?. American Journal of Neuroradiology. 38(4). 685–690. 23 indexed citations
4.
Srinivasan, Krishnan, Bejoy Thomas, Drishti Shah, et al.. (2016). Quantification of diffusion and anisotropy in intracranial epidermoids using diffusion tensor metrics and p: q tensor decomposition. Journal of Neuroradiology. 43(6). 363–370. 3 indexed citations
5.
Kapilamoorthy, T.R., et al.. (2016). Surgical Closure of Aortopulmonary Window in a Topsy-Turvy Heart: A Surgical Challenge. The Annals of Thoracic Surgery. 101(5). 1982–1984. 6 indexed citations
6.
Jain, Narendra Kumar, et al.. (2015). Spinal venous hypertension secondary to pelvic extra-spinal arteriovenous fistula—a previously unreported cause of congestive myelopathy. The Spine Journal. 16(2). e41–e42. 3 indexed citations
7.
Sandhyamani, S, et al.. (2014). Intracalvarial schwannoma: A case report with review of literature. Neurology India. 62(2). 222–222. 4 indexed citations
8.
Radhakrishnan, Neelima, et al.. (2014). Rosette forming glioneuronal tumor of the fourth ventricle in squash cytology smear. Journal of Cytology. 31(4). 215–215. 8 indexed citations
9.
Prabhu, Mukund A., et al.. (2013). An unusual cause for unruptured sinus of valsalva aneurysm. Indian Heart Journal. 65(4). 484–487. 4 indexed citations
10.
Kesavadas, Chandrasekharan, et al.. (2013). Susceptibility weighted imaging in the evaluation of movement disorders. Clinical Radiology. 68(6). e338–e348. 15 indexed citations
11.
12.
Radhakrishnan, Neelima, et al.. (2011). Tanycytic ependymoma of filum terminale: A case report. Clinical Neurology and Neurosurgery. 114(2). 169–171. 11 indexed citations
13.
Kesavadas, Chandrasekharan, et al.. (2010). Advanced MRI in Rosai–Dorfman disease: Correlation with histopathology. Journal of Neuroradiology. 38(2). 113–117. 16 indexed citations
14.
Santhosh, Kannath, Bejoy Thomas, Chandrasekharan Kesavadas, et al.. (2008). Metabolite signature of developmental foregut cyst on in vivo and in vitro 1H MR spectroscopy. Journal of Magnetic Resonance Imaging. 28(2). 493–496. 5 indexed citations
15.
Santhosh, Kannath, Chandrasekharan Kesavadas, Bejoy Thomas, et al.. (2008). Susceptibility weighted imaging: a new tool in magnetic resonance imaging of stroke. Clinical Radiology. 64(1). 74–83. 114 indexed citations
16.
Koshy, Thomas, Prabhat Kumar Sinha, Chelakara Subramanian, & T.R. Kapilamoorthy. (2007). An Unusual Chest Radiograph. Journal of Cardiothoracic and Vascular Anesthesia. 21(5). 758–760. 1 indexed citations
17.
Santhosh, Kannath, Chandrasekharan Kesavadas, V. V. Radhakrishnan, et al.. (2007). Usefulness of T2*-weighted MR sequence for the diagnosis of subfrontal schwannoma. Journal of Neuroradiology. 34(5). 330–333. 15 indexed citations
18.
Gupta, Amod, S. Purkayastha, Krishnamoorthy Thamburaj, et al.. (2006). Endovascular Treatment of Intracranial Aneurysms: Long-Term Follow-up. The Neuroradiology Journal. 19(3). 339–347. 2 indexed citations
19.
Gupta, Anil K., et al.. (2003). Percutaneous Laser Disc Decompression. Rivista di Neuroradiologia. 16(6). 1371–1372. 1 indexed citations
20.
Gupta, Amod, et al.. (2003). Carotid Artery Stenting. Rivista di Neuroradiologia. 16(6). 1169–1172.

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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