Szeman Ruby Chan
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
- Oncology 12
- Cytokine Signaling Pathways and Interactions 6
- Viral-associated cancers and disorders 3
-
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
- Co-authors
- Bala Chandran (3 shared papers)Clark Bloomer (2 shared papers)Robert D. Schreiber (6 shared papers)Amy M. Fowler (4 shared papers)Natasha Girgis (1 shared paper)Iqbal S. Grewal (1 shared paper)Douglas H. Yamada (2 shared papers)Karla R. Wiehagen (1 shared paper)
- Journals
- Journal of Nuclear Medicine (2 papers)Virology (2 papers)Blood (1 paper)Scientific Reports (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesItalySweden
In The Last Decade
Szeman Ruby Chan
17 papers receiving 744 citations
Peers
Comparison fields: 5 of 63
- Oncology 488
- Immunology 256
- Cancer Research 95
- Epidemiology 205
- Infectious Diseases 71
Countries citing papers authored by Szeman Ruby Chan
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 140 | |
| 2 | 2017 | 135 | |
| 3 | 1998 | 89 | |
| 4 | 1998 | 77 | |
| 5 | 2012 | 54 | |
| 6 | 2000 | 48 | |
| 7 | 2013 | 47 | |
| 8 | 2013 | 37 | |
| 9 | 2019 | 37 | |
| 10 | 2014 | 31 | |
| 11 | 2022 | 18 | |
| 12 | 2020 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2015 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 2 |
About Szeman Ruby Chan
Szeman Ruby Chan is a scholar working on Oncology, Immunology, Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 751 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Estrogen and related hormone effects (4 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Viral-associated cancers and disorders (3 papers), Herpesvirus Infections and Treatments (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 (488 citations), Immunology (256 citations), Cancer Research (95 citations), Epidemiology (205 citations) and Infectious Diseases (71 citations). Szeman Ruby Chan has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include Bala Chandran, Clark Bloomer, Robert D. Schreiber, Amy M. Fowler, Natasha Girgis, Iqbal S. Grewal, Douglas H. Yamada, Karla R. Wiehagen, Michael Quigley and Raluca Verona. Their work appears in journals such as Journal of Nuclear Medicine, Virology, Blood, Scientific Reports and Clinical Cancer Research.
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.