Denise Lee

19 papers receiving 245 citations

Peers

Denise Lee
Comparison fields: 5 of 56
  • Immunology and Allergy 58
  • Health Informatics 8
  • Nephrology 34
  • Dermatology 30
  • Hematology 35
Replace Sonya Jackson with:
Sonya Jackson Sweden
Quynh Anh Lu United States
José Eduardo Navarro‐Zarza Mexico
Hitohiko Murakami Japan
Marcus Hjort Sweden
Sérgio San Juan Dertkigil Brazil
Donald D. Hegland United States
Changyan Wang China
Francesco Natalucci Italy
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Denise Lee relative to Sonya Jackson Sweden Sonya Jackson's profile →
Citations per field
00.5×10×14.5×
Sonya Jackson · 1×
Citations per year

Countries citing papers authored by Denise Lee

Since Specialization
Citations

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

Fields of papers citing papers by Denise Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201376
2 200736
3 201834
4 201330
5 201713
6 202411
7 202310
8 20158
9 20228
10
The Role of Coupling Terms in Variable Impedance Policies Learning
20166
11 20245
12 20224
13 20223
14 20242
15
Robotic Calligraphy: Learning From Character Images
20151
16 20241
17 20201
18 20221
19 20221
20 20240

About Denise Lee

Denise Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Surgery and Genetics, having authored 25 papers that have together received 251 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Thyroid and Parathyroid Surgery (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Allergic Rhinitis and Sensitization (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Immunology and Allergy (58 citations), Health Informatics (8 citations), Nephrology (34 citations), Dermatology (30 citations) and Hematology (35 citations). Denise Lee has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Martin Rosewich, Stefan Zielen, Jennifer H. Kuo, John A. Chabot, Marcella D. Walker, James A. Lee, Michael Souvatzoglou, Stephan G. Nekolla, Markus Schwaiger and Raymonde Busch. Their work appears in journals such as Journal of Clinical Oncology, Surgery, World Journal of Surgery, British Journal of Haematology and Human Vaccines & Immunotherapeutics.

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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