Chirag Ahuja

3.5k total citations · 1 hit paper
237 papers, 2.1k citations indexed

About

Chirag Ahuja is a scholar working on Neurology, Surgery and Epidemiology. According to data from OpenAlex, Chirag Ahuja has authored 237 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Neurology, 66 papers in Surgery and 49 papers in Epidemiology. Recurrent topics in Chirag Ahuja's work include Glioma Diagnosis and Treatment (28 papers), Pituitary Gland Disorders and Treatments (28 papers) and Meningioma and schwannoma management (27 papers). Chirag Ahuja is often cited by papers focused on Glioma Diagnosis and Treatment (28 papers), Pituitary Gland Disorders and Treatments (28 papers) and Meningioma and schwannoma management (27 papers). Chirag Ahuja collaborates with scholars based in India, United Kingdom and United States. Chirag Ahuja's co-authors include Niranjan Khandelwal, Jainy Sachdeva, Vinod Kumar, Indra Gupta, Sivashanmugam Dhandapani, Pinaki Dutta, Sameer Vyas, Preetam Bhardwaj, Arghya Chakravorty and R. P. Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Neurology.

In The Last Decade

Chirag Ahuja

202 papers receiving 2.0k citations

Hit Papers

Recent progress and growth in biosensors technology: A cr... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chirag Ahuja India 20 490 419 401 363 276 237 2.1k
Zhongxiang Ding China 23 215 0.4× 247 0.6× 124 0.3× 106 0.3× 1.2k 4.3× 126 2.2k
Zhe Zhang China 28 168 0.3× 78 0.2× 138 0.3× 295 0.8× 761 2.8× 178 2.8k
Chang Liu China 23 81 0.2× 115 0.3× 246 0.6× 156 0.4× 348 1.3× 108 1.6k
Jürgen Meixensberger Germany 31 137 0.3× 97 0.2× 1.3k 3.3× 894 2.5× 439 1.6× 185 3.5k
George Nikiforidis Greece 26 123 0.3× 53 0.1× 189 0.5× 617 1.7× 514 1.9× 108 2.3k
Dong Hwan Kim South Korea 28 146 0.3× 56 0.1× 156 0.4× 445 1.2× 383 1.4× 166 2.7k
Norlisah Ramli Malaysia 22 50 0.1× 109 0.3× 469 1.2× 244 0.7× 381 1.4× 123 1.5k
Richard H. Wiggins United States 26 50 0.1× 116 0.3× 479 1.2× 560 1.5× 376 1.4× 105 2.0k
Hiroyuki Akai Japan 28 102 0.2× 104 0.2× 165 0.4× 451 1.2× 1.8k 6.6× 97 3.2k
Rongguo Zhang China 20 107 0.2× 63 0.2× 161 0.4× 156 0.4× 399 1.4× 68 1.3k

Countries citing papers authored by Chirag Ahuja

Since Specialization
Citations

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

Fields of papers citing papers by Chirag Ahuja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chirag Ahuja

This figure shows the co-authorship network connecting the top 25 collaborators of Chirag Ahuja. A scholar is included among the top collaborators of Chirag Ahuja 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 Chirag Ahuja. Chirag Ahuja 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.
Ahuja, Chirag, et al.. (2025). (Un)Common Carotid Trifurcation. Neurology India. 73(2). 349–351.
3.
Walia, Rama, Chirag Ahuja, Sivashanmugam Dhandapani, et al.. (2025). A novel molecular imaging technique using [68Ga]Ga-mDesmo PET-CT for localizing tumors in Cushing’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 52(12). 4558–4568. 1 indexed citations
4.
Sachdeva, Jainy, et al.. (2024). Multiscale segmentation net for segregating heterogeneous brain tumors: Gliomas on multimodal MR images. Image and Vision Computing. 149. 105191–105191. 6 indexed citations
5.
Gupta, Nidhi, Rama Walia, Sanjay Kumar Bhadada, et al.. (2024). An objective way to predict remission and relapse in Cushing disease using Bayes’ theorem of probability. Journal of Endocrinological Investigation. 47(10). 2461–2468. 1 indexed citations
6.
Sachdeva, Jainy, et al.. (2024). A Novel Hybrid Multimodal Medical Image Fusion Scheme Based on Non-subsampled Shearlet Transform. Circuits Systems and Signal Processing. 43(6). 3627–3648. 3 indexed citations
7.
Das, Liza, Chirag Ahuja, Sivashanmugam Dhandapani, et al.. (2023). Impulse Control Disorders with Short-term Use of Cabergoline in Macroprolactinomas: A Prospective Study with a Brief Review of Literature. Neurology India. 71(1). 107–112. 7 indexed citations
8.
Bansal, Sandeep, Sameer Vyas, Vikas Bhatia, et al.. (2023). Clinicoradiological Profile of COVID-19–Associated Rhino-Orbital Cerebral Mucormycosis with a Focus on Computed Tomography: A Clinical Case Series and Review. American Journal of Tropical Medicine and Hygiene. 109(3). 600–607. 1 indexed citations
9.
Premkumar, Madhumita, Kamal Kajal, Anand V. Kulkarni, et al.. (2023). Intravenous BCAA Infusion Does Not Lead to a Sustained Recovery From Overt HE in ACLF – An Open Label Randomized Clinical Trial. Journal of Clinical and Experimental Hepatology. 13(6). 977–988. 2 indexed citations
10.
Gupta, Kirti, et al.. (2021). Intraoperative consultation in the diagnosis of posterior fossa brain tumors following the 2016 WHO update. Cytopathology. 32(4). 459–471. 2 indexed citations
11.
Ahuja, Chirag, et al.. (2021). Cerebral proliferative angiopathy: a rare cause of stroke and seizures in young. BMJ Case Reports. 14(2). e240468–e240468. 6 indexed citations
12.
Ahuja, Chirag, Karthik Kulanthaivelu, Sarita Mohapatra, et al.. (2020). COVID-19: Indian Society of Neuroradiology (ISNR) Consensus Statement and Recommendations for Safe Practice of Neuroimaging and Neurointerventions. The Neuroradiology Journal. 33(5). 353–367. 1 indexed citations
13.
Walia, Rama, Rahul Gupta, Anil Bhansali, et al.. (2020). Molecular Imaging Targeting Corticotropin-releasing Hormone Receptor for Corticotropinoma: A Changing Paradigm. The Journal of Clinical Endocrinology & Metabolism. 106(4). 1816–1826. 32 indexed citations
14.
Das, Liza, Anil Bhansali, Rosario Pivonello, et al.. (2020). ACTH increment post total bilateral adrenalectomy for Cushing’s disease: a consistent biosignature for predicting Nelson’s syndrome. Pituitary. 23(5). 488–497. 12 indexed citations
15.
Dutta, Pinaki, et al.. (2018). A Rare Cause Of Sellar-Suprasellar Mass: Igg4-Related Infundibulo-Hypophysitis. AACE Clinical Case Reports. 4(5). e422–e426. 3 indexed citations
16.
Kumar, Vinod, et al.. (2018). Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking.. arXiv (Cornell University).
18.
Ahuja, Chirag, et al.. (2015). Detection of nude images on large scale using Hadoop. International Conference on Computing for Sustainable Global Development. 849–853. 1 indexed citations
19.
Sachdeva, Jainy, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, & Chirag Ahuja. (2012). Hybrid model for 2-D rigid multimodal registration of brain images. 20(2). 67–90. 1 indexed citations
20.
Kumar, Ajay, Chirag Ahuja, Sameer Vyas, et al.. (2012). Hepatic Arteriovenous Fistulae: Role of Interventional Radiology. Digestive Diseases and Sciences. 57(10). 2703–2712. 36 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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