John Conibear

4.8k citations
29 papers · 328 · h-index 10

Impact in

  • Radiation top 10%
    • Advanced Radiotherapy Techniques
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

John Conibear

26 papers receiving 321 citations

Peers

John Conibear
Comparison fields: 5 of 49
  • Radiation 44
  • Oncology 80
  • Pulmonary and Respiratory Medicine 89
  • Cancer Research 29
  • Radiology, Nuclear Medicine and Imaging 43
Replace Victor Lewitzki with:
Victor Lewitzki Germany
Melissa A.L. Vyfhuis United States
Camilla Delli Paoli Italy
Angela Botticella France
William Leslie United States
Emanuela Olmetto Italy
Juliana Matiello Brazil
Gül Kanyılmaz Türkiye
Kathryn Banfill United Kingdom
Tetsuro Tamamoto Japan
John Conibear relative to Victor Lewitzki Germany Victor Lewitzki's profile →
Citations per field
00.5×1.5×1.8×
Victor Lewitzki · 1×
Citations per year

Countries citing papers authored by John Conibear

Since Specialization
Citations

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

Fields of papers citing papers by John Conibear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Conibear, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Conibear Line = papers co-authored together John Conibear links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201852
2 201341
3 201841
4 201638
5 201124
6 201923
7 202121
8 202115
9 202014
10 202310
11 20188
12 20138
13 20226
14 20175
15 20244
16 20193
17 20233
18 20232
19 20202
20 20122

About John Conibear

John Conibear is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Radiation and Neurology, having authored 29 papers that have together received 328 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (9 papers), Advanced Radiotherapy Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Treatment and Pharmacology (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), COVID-19 and healthcare impacts (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Radiation (44 citations), Oncology (80 citations), Pulmonary and Respiratory Medicine (89 citations), Cancer Research (29 citations) and Radiology, Nuclear Medicine and Imaging (43 citations). John Conibear has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David Landau, Elizabeth Miles, Emiliano Spezi, Matthew Maddocks, Gemma Eminowicz, Clare Shaw, Srabanti Mukherjee, Jane B. Hopkinson, Gerard G. Hanna and P.N. Plowman. Their work appears in journals such as Journal of Clinical Oncology, Clinical Oncology, BMJ Open, Radiotherapy and Oncology and Clinical Cancer Research.

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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