Sugama Chicklore

1.5k total citations · 2 hit papers
18 papers, 1.1k citations indexed

About

Sugama Chicklore is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Sugama Chicklore has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Sugama Chicklore's work include Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Sugama Chicklore is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Sugama Chicklore collaborates with scholars based in United Kingdom, Australia and United States. Sugama Chicklore's co-authors include Gary Cook, Vicky Goh, Paul Marsden, Arunabha Roy, Musib Siddique, Connie Yip, Muhammad Siddique, David Landau, Shahreen Ahmad and Benjamin Taylor and has published in prestigious journals such as Radiology, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Sugama Chicklore

17 papers receiving 1.1k citations

Hit Papers

Quantifying tumour heterogeneity in 18F-FDG PET/CT imagin... 2012 2026 2016 2021 2012 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sugama Chicklore United Kingdom 10 944 437 206 174 145 18 1.1k
Sonia Skamene Canada 9 718 0.8× 328 0.8× 222 1.1× 127 0.7× 125 0.9× 21 923
Dominik Nörenberg Germany 17 646 0.7× 281 0.6× 257 1.2× 205 1.2× 137 0.9× 64 1000
Jessica Goya-Outi France 4 864 0.9× 317 0.7× 189 0.9× 180 1.0× 99 0.7× 5 964
Emine Şebnem Durmaz Türkiye 15 672 0.7× 349 0.8× 182 0.9× 94 0.5× 102 0.7× 26 915
Mariyah Selmi United Kingdom 3 719 0.8× 202 0.5× 132 0.6× 181 1.0× 96 0.7× 4 834
N. Albarghach France 4 806 0.9× 285 0.7× 144 0.7× 132 0.8× 181 1.2× 5 890
Sabina Dizdarevic United Kingdom 13 600 0.6× 338 0.8× 103 0.5× 174 1.0× 116 0.8× 46 864
Cristiana Fanciullo Italy 6 726 0.8× 251 0.6× 244 1.2× 131 0.8× 79 0.5× 10 867
Hailiang Li China 10 697 0.7× 254 0.6× 108 0.5× 170 1.0× 133 0.9× 31 819
Sarah A. Mattonen Canada 13 796 0.8× 457 1.0× 214 1.0× 138 0.8× 81 0.6× 36 963

Countries citing papers authored by Sugama Chicklore

Since Specialization
Citations

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

Fields of papers citing papers by Sugama Chicklore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sugama Chicklore

This figure shows the co-authorship network connecting the top 25 collaborators of Sugama Chicklore. A scholar is included among the top collaborators of Sugama Chicklore 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 Sugama Chicklore. Sugama Chicklore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Barlow, Stephen, Sugama Chicklore, Yulan He, et al.. (2024). Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning. BMC Medical Informatics and Decision Making. 24(1). 396–396. 1 indexed citations
2.
Dickson, John, et al.. (2023). BNMS UK PET standards. Nuclear Medicine Communications. 45(1). 1–15. 1 indexed citations
4.
Bosch, Karen, Sugama Chicklore, Gary Cook, et al.. (2019). Staging FDG PET-CT changes management in patients with gastric adenocarcinoma who are eligible for radical treatment. European Journal of Nuclear Medicine and Molecular Imaging. 47(4). 759–767. 21 indexed citations
5.
Murphy, David J., Luciana Mendonça Alves, Paul Bassett, et al.. (2019). The effect of a novel Bayesian penalised likelihood PET reconstruction algorithm on the assessment of malignancy risk in solitary pulmonary nodules according to the British Thoracic Society guidelines. European Journal of Radiology. 117. 149–155. 7 indexed citations
6.
Szyszko, Teresa, Manil Subesinghe, Barbara Malene Fischer, et al.. (2019). The role of new PET tracers for lung cancer. Research Portal (King's College London). 58(1).
7.
Cook, Gary, Mary O’Brien, Sugama Chicklore, et al.. (2015). Heterogeneity of 18F-FDG PET uptake: Association with treatment response and prognosis in non-small cell lung cancer treated with erlotinib.. Radiology. 276(3). 5 indexed citations
8.
Cook, Gary, Mary O’Brien, Muhammad Siddique, et al.. (2015). Non–Small Cell Lung Cancer Treated with Erlotinib: Heterogeneity of18F-FDG Uptake at PET—Association with Treatment Response and Prognosis. Radiology. 276(3). 883–893. 139 indexed citations
9.
Chicklore, Sugama, Klaus‐Martin Schulte, Nadia Talat, et al.. (2014). 18F-FDG PET Rarely Provides Additional Information to 11C-Methionine PET Imaging in Hyperparathyroidism. Clinical Nuclear Medicine. 39(3). 237–242. 11 indexed citations
10.
Cook, Gary, Musib Siddique, Benjamin Taylor, et al.. (2014). Radiomics in PET: principles and applications. Clinical and Translational Imaging. 2(3). 269–276. 97 indexed citations
11.
Klabatsa, Astero, Sugama Chicklore, Sally F. Barrington, et al.. (2013). The association of 18F-FDG PET/CT parameters with survival in malignant pleural mesothelioma. European Journal of Nuclear Medicine and Molecular Imaging. 41(2). 276–282. 44 indexed citations
12.
13.
Chicklore, Sugama, Vicky Goh, Musib Siddique, et al.. (2012). Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. European Journal of Nuclear Medicine and Molecular Imaging. 40(1). 133–140. 382 indexed citations breakdown →
14.
Bent, Clare, et al.. (2012). Do emergency physicians and radiologists reliably interpret pelvic radiographs obtained as part of a trauma series?. Emergency Medicine Journal. 30(2). 106–111. 10 indexed citations
15.
Cook, Gary, Connie Yip, Muhammad Siddique, et al.. (2012). Are Pretreatment 18F-FDG PET Tumor Textural Features in Non–Small Cell Lung Cancer Associated with Response and Survival After Chemoradiotherapy?. Journal of Nuclear Medicine. 54(1). 19–26. 329 indexed citations breakdown →
16.
Chicklore, Sugama, Gopinath Gnanasegaran, Sanjay Vijayanathan, & Ignac Fogelman. (2012). Potential role of multislice SPECT/CT in impingement syndrome and soft-tissue pathology of the ankle and foot. Nuclear Medicine Communications. 34(2). 130–139. 32 indexed citations
17.
Chicklore, Sugama, Humayun Bashir, Sanjay Vijayanathan, & Gopinath Gnanasegaran. (2009). Tc-99m MDP Bone Scintigraphy in Septic Shock. Clinical Nuclear Medicine. 34(11). 834–835. 2 indexed citations
18.
Gnanasegaran, Gopinath, et al.. (2009). Diabetes and bone: advantages and limitations of radiological, radionuclide and hybrid techniques in the assessment of diabetic foot.. PubMed. 34(3). 237–54. 7 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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