Mette Pøhl

751 citations
24 papers · 274 · h-index 9

Impact in

Papers in

Mette Pøhl

21 papers receiving 266 citations

Peers

Mette Pøhl
Comparison fields: 5 of 44
  • Radiation 47
  • Radiology, Nuclear Medicine and Imaging 71
  • Pulmonary and Respiratory Medicine 79
  • Cancer Research 29
  • Oncology 44
Replace Charleen Chan Wah Hak with:
Charleen Chan Wah Hak United Kingdom
Verdiana Trappetti Switzerland
Joanne Toohey Australia
Carole Massabeau France
Sandra Curras-Alonso France
D Jacqmin United States
K. Clarke United Kingdom
Heitetsu Sai Japan
Alessandra Fozza Italy
Mette Pøhl relative to Charleen Chan Wah Hak United Kingdom Charleen Chan Wah Hak's profile →
Citations per field
00.5×1.5×
Charleen Chan Wah Hak · 1×
Citations per year

Countries citing papers authored by Mette Pøhl

Since Specialization
Citations

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

Fields of papers citing papers by Mette Pøhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mette Pøhl, 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 Mette Pøhl Line = papers co-authored together Mette Pøhl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202055
2 199942
3 201333
4 201930
5 202021
6 201417
7 201313
8 201110
9 20239
10 20157
11 20236
12 20206
13 20224
14 20234
15 20224
16 20193
17 20183
18 20243
19 20172
20 20191

About Mette Pøhl

Mette Pøhl is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging, Oncology and Biomedical Engineering, having authored 24 papers that have together received 274 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Advanced Radiotherapy Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Treatments and Mutations (2 papers), Glutathione Transferases and Polymorphisms (1 paper), Lung Cancer Research Studies (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Radiation (47 citations), Radiology, Nuclear Medicine and Imaging (71 citations), Pulmonary and Respiratory Medicine (79 citations), Cancer Research (29 citations) and Oncology (44 citations). Mette Pøhl has collaborated with scholars based in Denmark, United Kingdom and Sweden. Frequent co-authors include Henrik J. Ditzel, Karen Ege Olsen, Mirjana Josipović, Morten F. Gjerstorff, Werner Jaschke, S. Peer, Gitte Fredberg Persson, Tine Schytte, Jonas Scherman and Lena Specht. Their work appears in journals such as Radiotherapy and Oncology, Acta Oncologica, Journal of Thoracic Oncology, Clinical Lung Cancer and Frontiers in Oncology.

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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