Marieta Chan

522 citations
17 papers · 372 · h-index 7

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Immune Cell Function and Interaction
    • Complement system in diseases

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 2
    • SARS-CoV-2 and COVID-19 Research 3

Marieta Chan

14 papers receiving 366 citations

Peers

Marieta Chan
Comparison fields: 5 of 56
  • Transplantation 122
  • Immunology 168
  • Nephrology 37
  • Hematology 54
  • Oncology 92
Replace N Chkoff with:
N Chkoff France
Mareen Matz Germany
Patrick Miqueu France
Francisco Boix Spain
Carmen Botella Spain
Brittany Shonts United States
Jean-Paul Soulillou France
Alexandre Dupont France
Alice Koenig France
S Ode-Hakim Germany
Marieta Chan relative to N Chkoff France N Chkoff's profile →
Citations per field
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N Chkoff · 1×
Citations per year

Countries citing papers authored by Marieta Chan

Since Specialization
Citations

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

Fields of papers citing papers by Marieta Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011140
2 201170
3 200548
4 201242
5 201122
6 202016
7 201512
8 20236
9 19934
10 20204
11 20223
12 20202
13 20232
14 20241
15 20230
16 20240
17 20230

About Marieta Chan

Marieta Chan is a scholar working on Immunology, Infectious Diseases, Oncology, Hematology and Organizational Behavior and Human Resource Management, having authored 17 papers that have together received 372 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (3 papers), Global Public Health Policies and Epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Transplantation (122 citations), Immunology (168 citations), Nephrology (37 citations), Hematology (54 citations) and Oncology (92 citations). Marieta Chan has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include S Bala, Ana M Guerreiro Hernández, Carolyn Y. Neuland, Patrick Archdeacon, LaRee Tracy, Jacob L. Meyer, Renata Albrecht, M Cavaillé‐Coll, Ergun Velidedeoğlu and Mickey Koh. Their work appears in journals such as European Heart Journal, Cytotherapy, Journal of Clinical Oncology, Journal of Immunotherapy and Experimental Hematology.

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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