Pencilla Lang

48 papers receiving 373 citations

Peers

Pencilla Lang
Comparison fields: 5 of 56
  • Otorhinolaryngology 74
  • Health Informatics 15
  • Radiology, Nuclear Medicine and Imaging 100
  • Cardiology and Cardiovascular Medicine 55
  • Pulmonary and Respiratory Medicine 66
Replace Seyhan Karaçavuş with:
Seyhan Karaçavuş Türkiye
Hui-Min Ting Taiwan
Liyun Chang Taiwan
Fayu Liu China
Seitaro Oda Japan
Isabelle Fitton France
Cheng Zhao China
Mingxiang Wu China
Marco Bologna Italy
Sungwon Ham South Korea
Pencilla Lang relative to Seyhan Karaçavuş Türkiye Seyhan Karaçavuş's profile →
Citations per field
00.5×7.9×
Seyhan Karaçavuş · 1×
Citations per year

Countries citing papers authored by Pencilla Lang

Since Specialization
Citations

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

Fields of papers citing papers by Pencilla Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202036
2 202031
3 201230
4 202025
5 201225
6 202117
7 202214
8 202014
9 201114
10 199813
11 202012
12 200612
13 201311
14 20219
15 20188
16 20128
17 20227
18 20227
19 20237
20 20117

About Pencilla Lang

Pencilla Lang is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Biomedical Engineering, having authored 51 papers that have together received 382 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Head and Neck Cancer Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Lung Cancer Diagnosis and Treatment (7 papers), Aortic Disease and Treatment Approaches (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Soft Robotics and Applications (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). The work is most often cited by research in Otorhinolaryngology (74 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Cardiology and Cardiovascular Medicine (55 citations) and Pulmonary and Respiratory Medicine (66 citations). Pencilla Lang has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David A. Palma, Terry M. Peters, Sarah A. Mattonen, Anthony C. Nichols, Michael Chu, G Guiraudon, Daniel Bainbridge, Douglas L. Jones, Martin Rajchl and Keng Yeow Tay. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Radiotherapy and Oncology, IEEE Transactions on Biomedical Engineering and Brachytherapy.

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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