Subhashini John

593 total citations
31 papers, 449 citations indexed

About

Subhashini John is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Subhashini John has authored 31 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Epidemiology. Recurrent topics in Subhashini John's work include Cervical Cancer and HPV Research (7 papers), Advanced Radiotherapy Techniques (6 papers) and Head and Neck Cancer Studies (6 papers). Subhashini John is often cited by papers focused on Cervical Cancer and HPV Research (7 papers), Advanced Radiotherapy Techniques (6 papers) and Head and Neck Cancer Studies (6 papers). Subhashini John collaborates with scholars based in India, United States and Switzerland. Subhashini John's co-authors include Partha Basu, Ajay Mehta, Sudeep Gupta, Robert G. Petit, Minish Jain, Rajnish Nagarkar, Abraham Peedicayil, Priya Abraham, Gopalan Sridharan and Narayanan Sathish and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiotherapy and Oncology.

In The Last Decade

Subhashini John

29 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhashini John India 12 151 105 94 75 73 31 449
Teresa Lettini Italy 11 62 0.4× 36 0.3× 130 1.4× 48 0.6× 64 0.9× 62 364
Tyler O. Kirby United States 15 140 0.9× 182 1.7× 185 2.0× 52 0.7× 51 0.7× 27 608
Л Э Завалишина Russia 11 131 0.9× 88 0.8× 146 1.6× 38 0.5× 58 0.8× 70 417
C Natter Austria 11 227 1.5× 89 0.8× 93 1.0× 70 0.9× 54 0.7× 14 422
Ciaran O’Neill United Kingdom 9 160 1.1× 141 1.3× 153 1.6× 32 0.4× 109 1.5× 13 598
J Rahhal Austria 7 191 1.3× 102 1.0× 101 1.1× 46 0.6× 24 0.3× 8 336
Dominik Nann Germany 9 75 0.5× 44 0.4× 123 1.3× 21 0.3× 46 0.6× 24 346
I. Aref United States 12 64 0.4× 63 0.6× 149 1.6× 13 0.2× 165 2.3× 28 602
Ilaria Sabatucci Italy 14 163 1.1× 155 1.5× 131 1.4× 29 0.4× 69 0.9× 37 543
Hae‐Seong Nam South Korea 11 148 1.0× 56 0.5× 95 1.0× 26 0.3× 265 3.6× 32 498

Countries citing papers authored by Subhashini John

Since Specialization
Citations

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

Fields of papers citing papers by Subhashini John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhashini John

This figure shows the co-authorship network connecting the top 25 collaborators of Subhashini John. A scholar is included among the top collaborators of Subhashini John 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 Subhashini John. Subhashini John 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.
Jeyaseelan, Visalakshi, et al.. (2025). Prognostic significance of Bcl-2 expression in carcinoma of the uterine cervix: A systematic review and meta-analysis. Journal of Laboratory Physicians. 18. 3–11.
3.
Bowen, Stephen R., et al.. (2021). Framework for Machine Learning of CT and PET Radiomics to Predict Local Failure after Radiotherapy in Locally Advanced Head and Neck Cancers. Journal of Medical Physics. 46(3). 181–188. 11 indexed citations
4.
John, Subhashini, et al.. (2021). In-vivo dose measurements with MOSFET dosimeters during MV portal imaging. Reports of Practical Oncology & Radiotherapy. 26(1). 93–100. 2 indexed citations
5.
Chacko, Raju Titus, et al.. (2021). Primary mediastinal germ cell tumours: real world experience in the low middle income (LMIC) setting. ecancermedicalscience. 15. 1186–1186. 5 indexed citations
6.
Mathew, Manu, et al.. (2020). Patterns of Recurrence in Locally Advanced Resectable Oesophageal Carcinoma: Retrospective Review from a Tertiary Cancer Centre in South India. Journal of Gastrointestinal Cancer. 52(2). 711–718. 1 indexed citations
7.
John, Subhashini, et al.. (2020). Effects of radiotherapy on olfaction and nasal function in head and neck cancer patients. American Journal of Otolaryngology. 41(4). 102537–102537. 14 indexed citations
8.
Basu, Partha, Ajay Mehta, Minish Jain, et al.. (2018). A Randomized Phase 2 Study of ADXS11-001 Listeria monocy'togenes-Listeriolysin O Immunotherapy With or Without Cisplatin in Treatment of Advanced Cervical Cancer. International Journal of Gynecological Cancer. 28(4). 764–772. 126 indexed citations
10.
John, Subhashini, et al.. (2016). Management of Locally Advanced Carcinoma Oesophagus with Radiation/Chemoradiation: Single Institute Experience. Journal of Gastrointestinal Cancer. 47(3). 313–317. 1 indexed citations
11.
John, Subhashini, et al.. (2016). Radiation dose measurements during kilovoltage-cone beam computed tomography imaging in radiotherapy. Journal of Cancer Research and Therapeutics. 12(2). 858–863. 9 indexed citations
12.
Balakrishnan, Rajesh, et al.. (2016). Outcome of radiotherapy for pituitary adenomas. Reports of Practical Oncology & Radiotherapy. 21(5). 466–472. 11 indexed citations
13.
Samanta, Santanu, et al.. (2016). Current Role of Magnetic Resonance Imaging in Evaluation and Radiotherapy in Locally Advanced Carcinoma Cervix. Indian Journal of Gynecologic Oncology. 14(2). 1 indexed citations
14.
Rajshekhar, Vedantam, et al.. (2016). Results of a Conservative Dose Plan Linear Accelerator–Based Stereotactic Radiosurgery for Pediatric Intracranial Arteriovenous Malformations. World Neurosurgery. 95. 425–433. 14 indexed citations
15.
Chandramohan, Anuradha, et al.. (2015). Role of conventional and diffusion weighted MRI in predicting treatment response after low dose radiation and chemotherapy in locally advanced carcinoma cervix. Radiotherapy and Oncology. 117(2). 288–293. 22 indexed citations
16.
John, Subhashini, et al.. (2013). Hypofractionated palliative radiotherapy in locally advanced inoperable head and neck cancer: CMC vellore experience. Indian Journal of Palliative Care. 19(2). 93–93. 36 indexed citations
17.
Seshadri, M. S., Nihal Thomas, Thomas V. Paul, et al.. (2012). High Index of Clinical Suspicion With Optimal Surgical Techniques and Adjuvant Radiotherapy Is Critical to Reduce Locoregional Disease Progression in Parathyroid Carcinoma. American Journal of Clinical Oncology. 36(1). 64–69. 10 indexed citations
18.
John, Subhashini, et al.. (2011). Rare Cause of Stricture Esophagus—Sarcoma: A Case Report and Review of the literature. SHILAP Revista de lepidopterología. 2011. 1–5. 5 indexed citations
19.
John, Subhashini, et al.. (2011). Comparison of geometric uncertainties between alpha cradle and thermoplastic ray cast immobilisation in abdominopelvic radiotherapy: a prospective study. Journal of Radiotherapy in Practice. 11(4). 239–248. 1 indexed citations
20.
Sathish, Narayanan, Priya Abraham, Abraham Peedicayil, et al.. (2004). Human Papillomavirus 16 E6/E7 Transcript and E2 Gene Status in Patients with Cervical Neoplasia. Molecular Diagnosis. 8(1). 57–64. 26 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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