Rita Chan

631 citations
9 papers · 418 · h-index 8

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 6
    • Bacterial biofilms and quorum sensing 5
    • Biochemical and Structural Characterization 2
    • S100 Proteins and Annexins 1

Rita Chan

9 papers receiving 407 citations

Peers

Rita Chan
Comparison fields: 5 of 63
  • Infectious Diseases 161
  • Microbiology 44
  • Immunology 127
  • Endocrinology 29
  • Molecular Medicine 23
Replace Piergiorgio Catalanotti with:
Piergiorgio Catalanotti Italy
Ana Friães Portugal
Eleonora Gabrielli Italy
Grace R. Pidwill United Kingdom
Jennifer Geraci Germany
Vincent Zijnge Netherlands
Hailyn V. Nielsen United States
Anya Loncaric United States
Yuru Shi China
Melissa Hamilton United States
Rita Chan relative to Piergiorgio Catalanotti Italy Piergiorgio Catalanotti's profile →
Citations per field
00.5×8.3×
Piergiorgio Catalanotti · 1×
Citations per year

Countries citing papers authored by Rita Chan

Since Specialization
Citations

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

Fields of papers citing papers by Rita Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2018161
2 199281
3 201955
4 202046
5 202030
6 201921
7 202113
8 20179
9 20042

About Rita Chan

Rita Chan is a scholar working on Infectious Diseases, Molecular Biology, Microbiology, Immunology and Genetics, having authored 9 papers that have together received 418 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (5 papers), Antimicrobial Peptides and Activities (3 papers), Biochemical and Structural Characterization (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Urinary Bladder and Prostate Research (1 paper), Poisoning and overdose treatments (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Infectious Diseases (161 citations), Microbiology (44 citations), Immunology (127 citations), Endocrinology (29 citations) and Molecular Medicine (23 citations). Rita Chan has collaborated with scholars based in United States, Netherlands and Singapore. Frequent co-authors include Victor J. Torres, Mohini Bhattacharya, Evelien T.M. Berends, Daniel J. Wozniak, W C Lye, Sashwati Roy, G Kumarasinghe, Chandan K. Sen, Xuhui Zheng and Preston J. Hill. Their work appears in journals such as Proceedings of the National Academy of Sciences, Infection and Immunity, Journal of Bacteriology, The Journal of Experimental Medicine and The Journal of Infectious Diseases.

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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