John Gibson

689 total citations · 1 hit paper
12 papers, 351 citations indexed

About

John Gibson is a scholar working on Otorhinolaryngology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, John Gibson has authored 12 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Otorhinolaryngology, 3 papers in Pathology and Forensic Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in John Gibson's work include Oral Health Pathology and Treatment (2 papers), Head and Neck Cancer Studies (2 papers) and Ocular Infections and Treatments (1 paper). John Gibson is often cited by papers focused on Oral Health Pathology and Treatment (2 papers), Head and Neck Cancer Studies (2 papers) and Ocular Infections and Treatments (1 paper). John Gibson collaborates with scholars based in United States, United Kingdom and Malaysia. John Gibson's co-authors include Sarah Barman, Paolo Remagnino, Jian Han Lim, Rosnah Binti Zain, Rahmi Amtha, Wanninayake Mudiyanselage Tilakaratne, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Thomas George Kallarakkal and Sok Ching Cheong and has published in prestigious journals such as PLoS ONE, IEEE Access and The Journal of Pediatrics.

In The Last Decade

John Gibson

12 papers receiving 327 citations

Hit Papers

Automated Detection and Classification of Oral Lesions Us... 2020 2026 2022 2024 2020 50 100 150 200

Peers

John Gibson
Comparison fields: 5 of 85
  • Artificial Intelligence 132
  • Otorhinolaryngology 112
  • Radiology, Nuclear Medicine and Imaging 89
  • Periodontics 76
  • Oral Surgery 47
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Citations per field, relative to John Gibson
John Gibson · 1×
Citations per year, relative to John Gibson
John Gibson · 1×

Countries citing papers authored by John Gibson

Since Specialization
Citations

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

Fields of papers citing papers by John Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Gibson

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 7
2 4
3
Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer breakdown →
203
4 3
5 4
6 50
7
Nicorandil-induced oral ulceration
3
8 41
9 2
10 16
11 8
12 10

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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