Szeman Ruby Chan

971 total citations
17 papers, 751 citations indexed

About

Szeman Ruby Chan is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Szeman Ruby Chan has authored 17 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 6 papers in Immunology and 5 papers in Genetics. Recurrent topics in Szeman Ruby Chan's work include Cytokine Signaling Pathways and Interactions (6 papers), Estrogen and related hormone effects (4 papers) and Immune Cell Function and Interaction (4 papers). Szeman Ruby Chan is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), Estrogen and related hormone effects (4 papers) and Immune Cell Function and Interaction (4 papers). Szeman Ruby Chan collaborates with scholars based in United States, Italy and Sweden. Szeman Ruby Chan's co-authors include Bala Chandran, Clark Bloomer, Robert D. Schreiber, Amy M. Fowler, Alexis K. Smith, Natasha Girgis, Karla R. Wiehagen, Raluca Verona, Michael Quigley and Douglas H. Yamada and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Szeman Ruby Chan

17 papers receiving 744 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Szeman Ruby Chan United States 11 488 256 205 164 98 17 751
Christoph M. Ahlers United States 14 286 0.6× 197 0.8× 91 0.4× 232 1.4× 54 0.6× 38 690
Benjamin Ruf United States 14 343 0.7× 298 1.2× 192 0.9× 280 1.7× 83 0.8× 29 869
Huihua Zhang China 14 363 0.7× 151 0.6× 81 0.4× 322 2.0× 40 0.4× 38 757
Oliver Feyen Germany 16 176 0.4× 460 1.8× 117 0.6× 250 1.5× 108 1.1× 32 841
Fubiao Kang China 15 323 0.7× 370 1.4× 110 0.5× 234 1.4× 27 0.3× 26 782
Isao Miyazaki Japan 12 251 0.5× 99 0.4× 97 0.5× 215 1.3× 172 1.8× 35 651
Andrew H. Nguyen United States 14 427 0.9× 302 1.2× 146 0.7× 260 1.6× 37 0.4× 25 934
Chuen-Miin Leu Taiwan 11 150 0.3× 459 1.8× 84 0.4× 251 1.5× 33 0.3× 13 798
Ronald A. Peck United States 7 405 0.8× 246 1.0× 39 0.2× 260 1.6× 85 0.9× 10 611
Yonggang Lv China 16 208 0.4× 174 0.7× 151 0.7× 224 1.4× 26 0.3× 28 648

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-authorship network of co-authors of Szeman Ruby Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Szeman Ruby Chan. A scholar is included among the top collaborators of Szeman Ruby Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Szeman Ruby Chan. Szeman Ruby Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Zwolak, Adam, Szeman Ruby Chan, Anthony A. Armstrong, et al.. (2022). A stable, engineered TL1A ligand co-stimulates T cells via specific binding to DR3. Scientific Reports. 12(1). 20538–20538. 5 indexed citations
2.
Drake, Charles G., Alex Garcia, Chia‐Wei Chang, et al.. (2022). 326 Off-the-shelf iPSC-derived CAR-T cells targeting KLK2 demonstrate prolonged tumor control and survival in xenograft models of prostate cancer. Regular and Young Investigator Award Abstracts. A343–A343. 2 indexed citations
3.
Chan, Szeman Ruby, Yanni Zhu, Andrew S. Gilder, et al.. (2022). FT555: Off-the-Shelf CAR-NK Cell Therapy Co-Targeting GPRC5D and CD38 for the Treatment of Multiple Myeloma. Blood. 140(Supplement 1). 4560–4561. 18 indexed citations
4.
Smith, Melissa, Diana Chin, Szeman Ruby Chan, et al.. (2020). Abstract 5567: In vivo administration of the STING agonist, JNJ-67544412, leads to complete regression of established murine subcutaneous tumors. Cancer Research. 80(16_Supplement). 5567–5567. 9 indexed citations
5.
Gatta, Luisa Benerini, Laura Melocchi, Francesco Missale, et al.. (2019). Hyper-Activation of STAT3 Sustains Progression of Non-Papillary Basal-Type Bladder Cancer via FOSL1 Regulome. Cancers. 11(9). 1219–1219. 37 indexed citations
6.
Wiehagen, Karla R., Natasha Girgis, Douglas H. Yamada, et al.. (2017). Combination of CD40 Agonism and CSF-1R Blockade Reconditions Tumor-Associated Macrophages and Drives Potent Antitumor Immunity. Cancer Immunology Research. 5(12). 1109–1121. 135 indexed citations
7.
Chan, Szeman Ruby, et al.. (2017). Sex as a Biologic Variable in Preclinical Imaging Research: Initial Observations with 18F-FLT. Journal of Nuclear Medicine. 59(5). 833–838. 7 indexed citations
8.
Capietto, Aude-Hélène, Szeman Ruby Chan, Biancamaria Ricci, et al.. (2016). Novel ERα positive breast cancer model with estrogen independent growth in the bone microenvironment. Oncotarget. 7(31). 49751–49764. 8 indexed citations
9.
Mori, Hidetoshi, Robert D. Cardiff, Josephine F. Trott, et al.. (2015). Abnormal Mammary Development in 129:STAT1-Null Mice is Stroma-Dependent. PLoS ONE. 10(6). e0129895–e0129895. 7 indexed citations
10.
Chan, Szeman Ruby, Amy M. Fowler, Julie Allen, et al.. (2014). Longitudinal Noninvasive Imaging of Progesterone Receptor as a Predictive Biomarker of Tumor Responsiveness to Estrogen Deprivation Therapy. Clinical Cancer Research. 21(5). 1063–1070. 31 indexed citations
11.
Lee, Sang‐Hun, Javier A. Carrero, Ravindra Uppaluri, et al.. (2013). Identifying the Initiating Events of Anti- Listeria Responses Using Mice with Conditional Loss of IFN-γ Receptor Subunit 1 (IFNGR1). The Journal of Immunology. 191(8). 4223–4234. 47 indexed citations
12.
Chan, Szeman Ruby, Charles G. Rickert, William Vermi, et al.. (2013). Dysregulated STAT1-SOCS1 control of JAK2 promotes mammary luminal progenitor cell survival and drives ERα+ tumorigenesis. Cell Death and Differentiation. 21(2). 234–246. 37 indexed citations
13.
Chan, Szeman Ruby, William Vermi, Jingqin Luo, et al.. (2012). STAT1-deficient mice spontaneously develop estrogen receptor α-positive luminal mammary carcinomas. Breast Cancer Research. 14(1). R16–R16. 140 indexed citations
14.
Fowler, Amy M., Szeman Ruby Chan, Terry L. Sharp, et al.. (2012). Small-Animal PET of Steroid Hormone Receptors Predicts Tumor Response to Endocrine Therapy Using a Preclinical Model of Breast Cancer. Journal of Nuclear Medicine. 53(7). 1119–1126. 54 indexed citations
15.
Chan, Szeman Ruby & Bala Chandran. (2000). Characterization of Human Herpesvirus 8 ORF59 Protein (PF-8) and Mapping of the Processivity and Viral DNA Polymerase-Interacting Domains. Journal of Virology. 74(23). 10920–10929. 48 indexed citations
16.
Chan, Szeman Ruby, Clark Bloomer, & Bala Chandran. (1998). Identification and Characterization of Human Herpesvirus-8 Lytic Cycle-Associated ORF 59 Protein and the Encoding cDNA by Monoclonal Antibody. Virology. 240(1). 118–126. 77 indexed citations
17.
Chandran, Bala, Clark Bloomer, Szeman Ruby Chan, et al.. (1998). Human Herpesvirus-8 ORF K8.1 Gene Encodes Immunogenic Glycoproteins Generated by Spliced Transcripts. Virology. 249(1). 140–149. 89 indexed citations

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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