Looket Dihge

20 papers receiving 238 citations

Peers

Looket Dihge
Comparison fields: 5 of 43
  • Cancer Research 124
  • Health Informatics 7
  • Oncology 42
  • Radiology, Nuclear Medicine and Imaging 27
  • Pathology and Forensic Medicine 16
Replace Chiara Frascarelli with:
Chiara Frascarelli Italy
Giulia Cursano Italy
Chengliang Dong United States
Tycho Bismeijer Netherlands
Michele L. Lenoue-Newton United States
Wen‐Chien Ting Taiwan
Ling Xin China
Sitanshu Gakkhar Canada
Kelly Offermans Netherlands
Looket Dihge relative to Chiara Frascarelli Italy Chiara Frascarelli's profile →
Citations per field
00.5×10×20×27×
Chiara Frascarelli · 1×
Citations per year

Countries citing papers authored by Looket Dihge

Since Specialization
Citations

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

Fields of papers citing papers by Looket Dihge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201757
2 200751
3 201937
4 201928
5 201612
6 20139
7 20238
8 20226
9 20225
10 20245
11 20214
12 20243
13 20213
14 20252
15 20242
16 20222
17 20232
18 20241
19 20221
20 20171

About Looket Dihge

Looket Dihge is a scholar working on Cancer Research, Pathology and Forensic Medicine, Artificial Intelligence, Surgery and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 239 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (20 papers), AI in cancer detection (4 papers), Breast Lesions and Carcinomas (4 papers), Breast Implant and Reconstruction (3 papers), HER2/EGFR in Cancer Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Breast Cancer Therapies (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cancer Research (124 citations), Health Informatics (7 citations), Oncology (42 citations), Radiology, Nuclear Medicine and Imaging (27 citations) and Pathology and Forensic Medicine (16 citations). Looket Dihge has collaborated with scholars based in Sweden, Denmark and Finland. Frequent co-authors include Lisa Rydén, Pär‐Ola Bendahl, Dorthe Grabau, Mårten Fernö, Mattias Ohlsson, Kristina Lövgren, Jorma Isola, Patrik Edén, Johan Staaf and Anna Ehinger. Their work appears in journals such as British journal of surgery, Acta Oncologica, Cancer Research, BMC 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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