Szeman Ruby Chan

984 citations
17 papers · 777 · h-index 11

Impact in

  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Cytokine Signaling Pathways and Interactions
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Cytokine Signaling Pathways and Interactions 5
    • Viral-associated cancers and disorders 3
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 2

Szeman Ruby Chan

17 papers receiving 768 citations

Peers

Szeman Ruby Chan
Comparison fields: 5 of 61
  • Oncology 471
  • Immunology 259
  • Epidemiology 198
  • Cancer Research 85
  • Infectious Diseases 66
Replace Benjamin Ruf with:
Benjamin Ruf United States
Oliver Feyen Germany
Isao Miyazaki Japan
Andrea K. Miyahira United States
James Ihle United States
M T Maunoury France
Huihua Zhang China
Colt A. Egelston United States
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Citations per field
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Citations per year

Countries citing papers authored by Szeman Ruby Chan

Since Specialization
Citations

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

Fields of papers citing papers by Szeman Ruby Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012143
2 2017141
3 199894
4 199877
5 201259
6 200051
7 201348
8 201938
9 201337
10 201433
11 202218
12 20209
13 20168
14 20177
15 20157
16 20225
17 20222

About Szeman Ruby Chan

Szeman Ruby Chan is a scholar working on Oncology, Immunology, Genetics, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 777 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Immune Cell Function and Interaction (4 papers), Estrogen and related hormone effects (3 papers), Viral-associated cancers and disorders (3 papers), Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Immunotherapy and Immune Responses (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Oncology (471 citations), Immunology (259 citations), Epidemiology (198 citations), Cancer Research (85 citations) and Infectious Diseases (66 citations). Szeman Ruby Chan has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Bala Chandran, Clark Bloomer, Robert D. Schreiber, Amy M. Fowler, Alexis K. Smith, Natasha Girgis, Raluca Verona, Iqbal S. Grewal, Michael Quigley and Douglas H. Yamada. Their work appears in journals such as Journal of Nuclear Medicine, Virology, Cell Death and Differentiation, Clinical Cancer Research and The Journal of 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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