Manil Subesinghe

2.1k citations
39 papers · 1.2k indexed · 1 hit paper · h-index 14
Topics
Medical Imaging Techniques and Applications (12 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Lung Cancer Diagnosis and Treatment (9 papers)

In The Last Decade

Manil Subesinghe

35 papers receiving 1.2k citations

Hit Papers

British Thoracic Society guidelines for the investigation...20152026201820222015200400600

Peers

Manil Subesinghe
Comparison fields: 5 of 75
  • Pulmonary and Respiratory Medicine 860
  • Radiology, Nuclear Medicine and Imaging 633
  • Oncology 150
  • Surgery 143
  • Otorhinolaryngology 118
Replace Koichi Kawanaka with:
Koichi Kawanaka Japan
Nanda Horeweg Netherlands
Anne-Marie Sykes United States
Johannes Grueneisen Germany
Junji Ichinose Japan
Robert H. Press United States
David Chee Eng Ng Singapore
Richard P. Golding Netherlands
Paul Cane United Kingdom
Yeona Cho South Korea
Manil Subesinghe relative to Koichi Kawanaka Japan Koichi Kawanaka's profile →
Citations per field
00.5×4.0×
Koichi Kawanaka · 1×
Citations per year

Countries citing papers authored by Manil Subesinghe

Since Specialization
Citations

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

Fields of papers citing papers by Manil Subesinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manil Subesinghe

This figure shows the co-authorship network connecting the top 25 collaborators of Manil Subesinghe. A scholar is included among the top collaborators of Manil Subesinghe 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 Manil Subesinghe. Manil Subesinghe 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
#WorkIndexed citations
1 2
2 6
3 2
4 29
5 4
6 0
7 12
8 7
9 18
10 15
11 35
12 45
13
British Thoracic Society guidelines for the investigation and management of pulmonary nodules: accredited by NICEbreakdown →
604
14 31
15 1
16 7
17 64
18 29
19 2
20 11

About Manil Subesinghe

Manil Subesinghe is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Lung Cancer Diagnosis and Treatment (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (633 citations), Otorhinolaryngology (118 citations) and Pulmonary and Respiratory Medicine (860 citations). Manil Subesinghe has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Fergus Gleeson, K. Franks, Mathias Prokop, J. Draffan, Paul Cane, Ahsan R. Akram, Kirsty Rodger, Richard Graham, P. Malhotra and David Baldwin. Their work appears in journals such as PLoS ONE, Radiology and Cochrane Database of Systematic Reviews.

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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