Nilesh Sable

1.3k total citations · 1 hit paper
65 papers, 625 citations indexed

About

Nilesh Sable is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nilesh Sable has authored 65 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 21 papers in Surgery and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nilesh Sable's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Head and Neck Cancer Studies (9 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). Nilesh Sable is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Head and Neck Cancer Studies (9 papers) and Prostate Cancer Diagnosis and Treatment (7 papers). Nilesh Sable collaborates with scholars based in India, United Kingdom and United States. Nilesh Sable's co-authors include Abhishek Mahajan, Meenakshi Thakur, Sanjay N. Talbar, Palak Popat, Santosh Menon, Kumar Prabhash, Vanita Noronha, Sudeep Gupta, Ganesh Bakshi and Gagan Prakash and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Nilesh Sable

51 papers receiving 610 citations

Hit Papers

Prostate-Only Versus Whole-Pelvic Radiation Therapy in Hi... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nilesh Sable India 11 276 181 133 85 84 65 625
Changjuan Tao China 12 188 0.7× 321 1.8× 130 1.0× 174 2.0× 71 0.8× 29 703
Michael Dohopolski United States 14 196 0.7× 227 1.3× 86 0.6× 176 2.1× 25 0.3× 56 497
Mi Huang United States 10 195 0.7× 403 2.2× 85 0.6× 57 0.7× 33 0.4× 10 505
Mattea Welch Canada 12 269 1.0× 691 3.8× 104 0.8× 154 1.8× 31 0.4× 28 854
H. Geng United States 10 184 0.7× 288 1.6× 34 0.3× 255 3.0× 38 0.5× 26 509
Brian Hrycushko United States 15 240 0.9× 406 2.2× 93 0.7× 346 4.1× 41 0.5× 54 742
Karin Söderström Sweden 11 133 0.5× 148 0.8× 205 1.5× 105 1.2× 41 0.5× 16 451
Sonia Skamene Canada 9 328 1.2× 718 4.0× 125 0.9× 31 0.4× 26 0.3× 21 923
Seung Yeun Chung South Korea 14 159 0.6× 194 1.1× 67 0.5× 156 1.8× 13 0.2× 31 537
Baher Elgohari United States 16 177 0.6× 323 1.8× 109 0.8× 122 1.4× 40 0.5× 33 616

Countries citing papers authored by Nilesh Sable

Since Specialization
Citations

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

Fields of papers citing papers by Nilesh Sable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilesh Sable

This figure shows the co-authorship network connecting the top 25 collaborators of Nilesh Sable. A scholar is included among the top collaborators of Nilesh Sable 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 Nilesh Sable. Nilesh Sable 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.
Sable, Nilesh, et al.. (2025). Sarcasm Detection an Explainable AI Approach for Reddit Political Text. Mathematical Modelling and Engineering Problems. 12(1). 219–226. 1 indexed citations
3.
Sable, Nilesh, et al.. (2024). Deep Learning-Based Approach for Monitoring and Controlling Fake Reviews. 4(3). 377–386.
4.
Noronha, Vanita, Amit Joshi, Nandini Menon, et al.. (2024). Clinical Profile and Outcomes of Carcinoma Penis Patients Receiving Systemic Therapy at an Indian tertiary care Center: A Retrospective Observational Study. Clinical Genitourinary Cancer. 22(3). 102053–102053. 1 indexed citations
5.
Popat, Palak, Amita Maheshwari, Smita Manchanda, et al.. (2023). Imaging Recommendations for Diagnosis, Staging, and Management of Cervical Cancer. Indian Journal of Medical and Paediatric Oncology. 44(1). 119–129.
6.
Sable, Nilesh, et al.. (2023). Imaging Recommendations for Diagnosis, Staging, and Management of Prostate Cancer. Indian Journal of Medical and Paediatric Oncology. 44(1). 130–137.
7.
Prakash, Gagan, et al.. (2023). Imaging Recommendations for Diagnosis, Staging, and Management of Bladder and Urethral Malignancies. Indian Journal of Medical and Paediatric Oncology. 44(2). 268–274.
8.
Popat, Palak, Nilesh Sable, Archi Agrawal, et al.. (2023). Imaging Recommendations for Diagnosis, Staging, and Management of Penile Cancer. Indian Journal of Medical and Paediatric Oncology. 44(2). 281–286.
9.
Vaish, Richa, Abhishek Mahajan, Nilesh Sable, et al.. (2023). Role of computed tomography in the evaluation of regional metastasis in well-differentiated thyroid cancer. SHILAP Revista de lepidopterología. 3. 1243000–1243000. 2 indexed citations
10.
Gurram, Lavanya, Supriya Chopra, Akshay Baheti, et al.. (2021). Validation and applicability of para-aortic lymph nodal contouring atlas in cervical cancer. Radiotherapy and Oncology. 165. 32–36. 3 indexed citations
11.
Abraham, George, Vijay Patil, Nandini Menon, et al.. (2021). An Audit of Systemic Therapy in Medullary Carcinoma Thyroid. Indian Journal of Surgical Oncology. 13(1). 61–67. 1 indexed citations
12.
Baid, Ujjwal, Sanjay N. Talbar, Swapnil Rane, et al.. (2020). A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas. Frontiers in Computational Neuroscience. 14. 10–10. 77 indexed citations
13.
Maheshwari, Amita, Neha Kumar, Sudeep Gupta, et al.. (2018). Outcomes of advanced epithelial ovarian cancer treated with neoadjuvant chemotherapy. Indian Journal of Cancer. 55(1). 50–50. 16 indexed citations
14.
Mahajan, Abhishek, et al.. (2018). Radiomics based detection and characterization of suspicious lesions on full field digital mammograms. Computer Methods and Programs in Biomedicine. 163. 1–20. 31 indexed citations
15.
Prakash, Gagan, Amit Joshi, Amitesh Anand, et al.. (2017). Kidney cancer demographics and outcome data from 2013 at a tertiary cancer hospital in India. Indian Journal of Cancer. 54(4). 601–601. 13 indexed citations
16.
Ramaswamy, Anant, Amit Joshi, Vanita Noronha, et al.. (2016). Patterns of Care and Clinical Outcomes in Patients With Metastatic Renal Cell Carcinoma—Results From a Tertiary Cancer Center in India. Clinical Genitourinary Cancer. 15(3). e345–e355. 9 indexed citations
17.
Prabhash, Kumar, Saurabh Zanwar, Amit Joshi, et al.. (2016). Patterns of care and outcomes for second-line targeted therapy in metastatic renal cell carcinomas: A registry based analysis. Indian Journal of Cancer. 53(4). 579–579. 4 indexed citations
18.
19.
Mahajan, Abhishek, Nilesh Sable, Palak Popat, et al.. (2016). Magnetic Resonance Imaging of Gynecological Malignancies: Role in Personalized Management. Seminars in Ultrasound CT and MRI. 38(3). 231–268. 11 indexed citations
20.
Mahajan, Abhishek, Richa Vaish, Nilesh Sable, et al.. (2016). 391P Incremental value of preoperative CT in the surgical management of papillary thyroid cancer. Annals of Oncology. 27. ix121–ix121. 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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