Matilda Lee

483 citations
16 papers · 338 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Cancer Immunotherapy and Biomarkers
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Lung Cancer Treatments and Mutations 3
    • Advanced Breast Cancer Therapies 3
    • Renal cell carcinoma treatment 2
    • Lung Cancer Diagnosis and Treatment 2
    • Cancer Immunotherapy and Biomarkers 4
    • HER2/EGFR in Cancer Research 3
    • Cancer Treatment and Pharmacology 2

Matilda Lee

14 papers receiving 332 citations

Peers

Matilda Lee
Comparison fields: 5 of 68
  • Infectious Diseases 106
  • Oncology 131
  • Cancer Research 49
  • Obstetrics and Gynecology 22
  • Pulmonary and Respiratory Medicine 66
Replace Aiping Ma with:
Aiping Ma China
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Mingfang Xu China
Cecilia Egoavil Spain
Jun-Sang Kim South Korea
Abhenil Mittal India
Núria Baixeras Spain
Tatsunori Kiriu Japan
J. SALVADOR-BAYARRI Spain
Changhua Yu China
Matilda Lee relative to Aiping Ma China Aiping Ma's profile →
Citations per field
00.5×1.5×2.2×
Aiping Ma · 1×
Citations per year

Countries citing papers authored by Matilda Lee

Since Specialization
Citations

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

Fields of papers citing papers by Matilda Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2021115
2 2018104
3 202220
4 201818
5 202116
6 202113
7 202213
8 202111
9 201210
10 20188
11 20216
12 20202
13 20201
14 20181
15 20260
16 20240

About Matilda Lee

Matilda Lee is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Infectious Diseases and Molecular Biology, having authored 16 papers that have together received 338 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), HER2/EGFR in Cancer Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Advanced Breast Cancer Therapies (3 papers), Cancer Treatment and Pharmacology (2 papers), Renal cell carcinoma treatment (2 papers), Cancer Genomics and Diagnostics (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Infectious Diseases (106 citations), Oncology (131 citations), Cancer Research (49 citations), Obstetrics and Gynecology (22 citations) and Pulmonary and Respiratory Medicine (66 citations). Matilda Lee has collaborated with scholars based in Singapore, Taiwan and Australia. Frequent co-authors include Lingzhi Wang, Gautam Sethi, Andrea L.A. Wong, Jayshree L. Hirpara, Boon-Cher Goh, Yu Yang Soon, Sen Hee Tay, Soo Chin Lee, Ainsley Ryan Yan Bin Lee and Mark Muthiah. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Cancers, Journal of Gynecologic Oncology and Breast Cancer Research and Treatment.

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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