Serena Chee

8.0k citations
14 papers · 1.4k · h-index 10

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 3
    • Cancer Cells and Metastasis 2
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • Immune cells in cancer 2

Serena Chee

14 papers receiving 1.4k citations

Peers

Serena Chee
Comparison fields: 5 of 78
  • Immunology 625
  • Infectious Diseases 336
  • Oncology 470
  • Neurology 146
  • Pulmonary and Respiratory Medicine 201
Replace Yonghong Zhang with:
Yonghong Zhang China
Miro E. Raeber Switzerland
Michelle Hong Singapore
Nicola Tumino Italy
Fabiana Rizzo Italy
Emily S.J. Edwards Australia
Aili He China
Natasja A. M. Kragten Netherlands
Ralph E. Vatner United States
Dorit Fabricius Germany
Serena Chee relative to Yonghong Zhang China Yonghong Zhang's profile →
Citations per field
00.5×2.9×
Yonghong Zhang · 1×
Citations per year

Countries citing papers authored by Serena Chee

Since Specialization
Citations

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

Fields of papers citing papers by Serena Chee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017391
2 2020344
3 2021154
4 2020150
5 2019130
6 202183
7 202367
8 201755
9 202112
10 202310
11 20229
12 20246
13 20201
14 20151

About Serena Chee

Serena Chee is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Infectious Diseases and Neurology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), COVID-19 Clinical Research Studies (3 papers), CAR-T cell therapy research (3 papers), Long-Term Effects of COVID-19 (2 papers), Cancer Cells and Metastasis (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (625 citations), Infectious Diseases (336 citations), Oncology (470 citations), Neurology (146 citations) and Pulmonary and Respiratory Medicine (201 citations). Serena Chee has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Christian H. Ottensmeier, Pandurangan Vijayanand, Grégory Seumois, Gareth J. Thomas, Aiman Alzetani, Ciro Ramírez-Suástegui, James Clarke, Ferhat Ay, Hayley Simon and Toby Mellows. Their work appears in journals such as Nature Immunology, Cell Reports, Neuroendocrinology, Journal of Leukocyte Biology and Science Immunology.

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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