Narendra Kuber Bodhey

1.1k total citations
50 papers, 747 citations indexed

About

Narendra Kuber Bodhey is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Narendra Kuber Bodhey has authored 50 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Surgery and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Narendra Kuber Bodhey's work include AI in cancer detection (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Narendra Kuber Bodhey is often cited by papers focused on AI in cancer detection (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Narendra Kuber Bodhey collaborates with scholars based in India, Germany and United Kingdom. Narendra Kuber Bodhey's co-authors include Arun Kumar Gupta, Chandrasekharan Kesavadas, Bejoy Thomas, Krishnamoorthy Thamburaj, Tirur Raman Kapilamoorthy, Bikesh Kumar Singh, S. Purkayastha, T.R. Kapilamoorthy, Ram Bilas Pachori and Robert H. Anderson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and Journal of neurosurgery.

In The Last Decade

Narendra Kuber Bodhey

42 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narendra Kuber Bodhey India 13 254 247 157 121 115 50 747
Ercan Karaarslan Türkiye 18 173 0.7× 223 0.9× 98 0.6× 216 1.8× 234 2.0× 80 918
Raimund Kottke Switzerland 18 117 0.5× 188 0.8× 217 1.4× 142 1.2× 78 0.7× 61 767
Chun‐Jung Juan Taiwan 20 261 1.0× 410 1.7× 201 1.3× 155 1.3× 289 2.5× 94 1.1k
Christiaan Hendrik Bas van Niftrik Switzerland 18 266 1.0× 344 1.4× 263 1.7× 236 2.0× 88 0.8× 64 840
Furen Xiao Taiwan 19 297 1.2× 142 0.6× 225 1.4× 119 1.0× 175 1.5× 64 896
Jonathan Shapey United Kingdom 18 414 1.6× 284 1.1× 223 1.4× 54 0.4× 246 2.1× 60 961
Houman Sotoudeh United States 17 200 0.8× 331 1.3× 189 1.2× 129 1.1× 118 1.0× 74 814
Stuart Currie United Kingdom 15 198 0.8× 232 0.9× 197 1.3× 148 1.2× 116 1.0× 39 757
Mark M. Zaki United States 9 102 0.4× 79 0.3× 82 0.5× 64 0.5× 132 1.1× 37 585
Pertti Ryymin Finland 16 210 0.8× 429 1.7× 132 0.8× 167 1.4× 118 1.0× 32 829

Countries citing papers authored by Narendra Kuber Bodhey

Since Specialization
Citations

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

Fields of papers citing papers by Narendra Kuber Bodhey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narendra Kuber Bodhey. 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 Narendra Kuber Bodhey. The network helps show where Narendra Kuber Bodhey may publish in the future.

Co-authorship network of co-authors of Narendra Kuber Bodhey

This figure shows the co-authorship network connecting the top 25 collaborators of Narendra Kuber Bodhey. A scholar is included among the top collaborators of Narendra Kuber Bodhey 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 Narendra Kuber Bodhey. Narendra Kuber Bodhey 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.
Arora, Ripu Daman, et al.. (2024). Arora-Nagarkar Prognostic Classification for Rhinocerebral Mucormycosis©: A Novel Prognostic Classification System. Indian Journal of Otolaryngology and Head & Neck Surgery. 77(1). 412–416.
2.
Mehta, Rupa, et al.. (2024). Clinical, Radiological, and Pathological Correlation of Mandibular Invasion in Carcinoma Bucco-alveolar Complex. Indian Journal of Surgical Oncology. 15(2). 385–396.
3.
Sherly, Elizabeth, et al.. (2024). CirMNet: A Shape-Based Hybrid Feature Extraction Technique Using CNN and CMSMD for Alzheimer’s MRI Classification. IEEE Access. 12. 80491–80504. 2 indexed citations
4.
Bodhey, Narendra Kuber, et al.. (2024). Frontonasal Dysplasia: A Clinical Dilemma. Journal of Maxillofacial and Oral Surgery. 24(1). 74–77.
5.
Singh, Bikesh Kumar, et al.. (2023). Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm. Multimedia Tools and Applications. 83(7). 21347–21368. 30 indexed citations
6.
Bodhey, Narendra Kuber, et al.. (2023). Perforator-Based Propeller Flap with Additional Venous Pedicle for Lower Limb Reconstruction. Indian Journal of Plastic Surgery. 56(4). 373–377.
7.
Singh, Bikesh Kumar, et al.. (2023). A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach. Signal Image and Video Processing. 17(5). 1955–1963. 2 indexed citations
8.
Singh, Bikesh Kumar, et al.. (2023). Multi-Feature Classification of Breast Cancer Histopathology Images: An Experimental Investigation in Machine Learning and Deep Learning Paradigm. Brazilian Archives of Biology and Technology. 66. 2 indexed citations
9.
Verma, Shrish, et al.. (2022). CCsNeT: Automated Corpus Callosum segmentation using fully convolutional network based on U-Net. Journal of Applied Biomedicine. 42(1). 187–203. 8 indexed citations
10.
Bodhey, Narendra Kuber, et al.. (2022). Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI. South African Journal of Radiology. 26(1). 2480–2480.
11.
12.
Agrawal, Alok, et al.. (2022). Plasma Interleukin-33 Cannot Predict Hip Osteonecrosis in Patients With Sickle Cell Disease: A Case-Control Study. Cureus. 14(3). e23556–e23556. 1 indexed citations
13.
14.
Kesavadas, Chandrasekharan, et al.. (2010). Can diffusion tensor metrics help in preoperative grading of diffusely infiltrating astrocytomas? A retrospective study of 36 cases. Neuroradiology. 53(1). 63–68. 25 indexed citations
15.
Jayasree, Ramapurath S., Arun Kumar Gupta, Narendra Kuber Bodhey, & Mira Mohanty. (2009). Effect of 980-nm Diode Laser and 1064-nm Nd:YAG Laser on the Intervertebral Disc— In Vitro and in Vivo Studies. Photomedicine and Laser Surgery. 27(4). 547–552. 7 indexed citations
16.
Bodhey, Narendra Kuber, et al.. (2009). Chordoma of the Lumbar Spine Presenting as Sciatica and Treated with Vertebroplasty. CardioVascular and Interventional Radiology. 33(6). 1278–1281. 3 indexed citations
17.
Schmitt, Boris, Jan Falkenberg, Kai Rothaus, et al.. (2009). Three-dimensional alignment of the aggregated myocytes in the normal and hypertrophic murine heart. Journal of Applied Physiology. 107(3). 921–927. 18 indexed citations
18.
Kesavadas, Chandrasekharan, V. V. Radhakrishnan, Jitender Saini, et al.. (2008). Diffusion tensor mode in imaging of intracranial epidermoid cysts: one step ahead of fractional anisotropy. Neuroradiology. 51(2). 123–129. 18 indexed citations
19.
Bodhey, Narendra Kuber, et al.. (2006). Retroperitoneal Hematoma: An Unusual Complication After Femoral Vein Cannulation. Journal of Cardiothoracic and Vascular Anesthesia. 20(6). 859–861. 6 indexed citations
20.
Gupta, Amod, et al.. (2004). Cerebral Myxomatous Angiopathy. Imaging Features. Rivista di Neuroradiologia. 17(4). 558–560. 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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