Sandra Ryeom

7.4k total citations · 3 hit papers
71 papers, 4.4k citations indexed

About

Sandra Ryeom is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sandra Ryeom has authored 71 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 20 papers in Oncology and 17 papers in Immunology. Recurrent topics in Sandra Ryeom's work include Signaling Pathways in Disease (13 papers), Angiogenesis and VEGF in Cancer (11 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Sandra Ryeom is often cited by papers focused on Signaling Pathways in Disease (13 papers), Angiogenesis and VEGF in Cancer (11 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Sandra Ryeom collaborates with scholars based in United States, South Korea and Japan. Sandra Ryeom's co-authors include A. Zaslavsky, Judah Folkman, Sam S. Yoon, Janet R. Sparrow, Roy L. Silverstein, Joseph E. Italiano, Kwan‐Hyuck Baek, Ryan C. Lynch, Giannoula Klement and Jennifer L. Richardson and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sandra Ryeom

66 papers receiving 4.3k citations

Hit Papers

Angiogenesis is regulated... 2007 2026 2013 2019 2007 2014 2025 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sandra Ryeom 2.3k 993 764 742 631 71 4.4k
N. Ferrara 2.5k 1.1× 742 0.7× 783 1.0× 746 1.0× 810 1.3× 21 5.1k
Susan E. Crawford 3.7k 1.6× 832 0.8× 636 0.8× 1.1k 1.5× 679 1.1× 92 5.9k
Kewal Asosingh 1.9k 0.8× 1.1k 1.1× 1.4k 1.8× 578 0.8× 617 1.0× 118 4.4k
Mariona Graupera 2.4k 1.1× 978 1.0× 494 0.6× 546 0.7× 493 0.8× 59 4.6k
Jaume Mora 3.1k 1.4× 1.2k 1.2× 715 0.9× 1.0k 1.4× 394 0.6× 216 5.5k
Jeffrey W. Pippin 3.5k 1.5× 715 0.7× 764 1.0× 276 0.4× 1.1k 1.8× 130 7.8k
David Plieth 2.8k 1.3× 1.4k 1.4× 1.5k 1.9× 651 0.9× 584 0.9× 16 5.6k
V S Harvey 2.7k 1.2× 788 0.8× 564 0.7× 1.1k 1.5× 371 0.6× 14 4.5k
Ingrid Laurendeau 2.1k 0.9× 619 0.6× 399 0.5× 795 1.1× 388 0.6× 63 4.2k
Georges Uzan 2.6k 1.1× 629 0.6× 433 0.6× 539 0.7× 801 1.3× 134 5.0k

Countries citing papers authored by Sandra Ryeom

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Ryeom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandra Ryeom

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Ryeom. A scholar is included among the top collaborators of Sandra Ryeom 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 Sandra Ryeom. Sandra Ryeom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dunbar, Karen J., Su‐Hyung Lee, Yoonkyung Won, et al.. (2025). A Cell Marker Atlas to Distinguish Metaplastic Transitions in Human Esophagus and Stomach. Cellular and Molecular Gastroenterology and Hepatology. 19(12). 101611–101611. 1 indexed citations
2.
Zhi, Xiaofei, Ermanno Malagola, Biyun Zheng, et al.. (2025). Nociceptive neurons promote gastric tumour progression via a CGRP–RAMP1 axis. Nature. 640(8059). 802–810. 29 indexed citations breakdown →
3.
Wu, Lawrence W., et al.. (2024). Diffuse Gastric Cancer: A Comprehensive Review of Molecular Features and Emerging Therapeutics. Targeted Oncology. 19(6). 845–865. 5 indexed citations
4.
Cattaneo, Giulia, Jingyu Jia, Maria Chiara Gelmi, et al.. (2024). Chimeric Antigen Receptor T Cell with an Inducible Caspase-9 Suicide Gene Eradicates Uveal Melanoma Liver Metastases via B7-H3 Targeting. Clinical Cancer Research. 30(15). 3243–3258. 14 indexed citations
5.
Cattaneo, Giulia, Jingyu Jia, Luke Maggs, et al.. (2023). 317 B7-H3-targeted CAR T cell with an inducible caspase 9 suicide gene effectively eradicates uveal melanoma liver metastases. SHILAP Revista de lepidopterología. A360–A360. 1 indexed citations
6.
Moy, Ryan H., et al.. (2023). The Present and Future of Neoadjuvant and Adjuvant Therapy for Locally Advanced Gastric Cancer. Cancers. 15(16). 4114–4114. 11 indexed citations
7.
Ryeom, Sandra, et al.. (2023). Effect of MDSC-targeted TFF2-MSA with PD-1 blockade therapy in advanced gastric cancer models.. Journal of Clinical Oncology. 41(16_suppl). e16037–e16037.
9.
Yoon, Changhwan, Ju Lu, Bang‐Jin Kim, et al.. (2023). Patient-Derived Organoids from Locally Advanced Gastric Adenocarcinomas Can Predict Resistance to Neoadjuvant Chemotherapy. Journal of Gastrointestinal Surgery. 27(4). 666–676. 8 indexed citations
10.
Lu, Zhen, Angélica Ortiz, Ioannis I. Verginadis, et al.. (2021). Regulation of intercellular biomolecule transfer–driven tumor angiogenesis and responses to anticancer therapies. Journal of Clinical Investigation. 131(10). 14 indexed citations
11.
Hoffman, Rebecca, Bang‐Jin Kim, Payal D. Shah, et al.. (2021). Damage to cardiac vasculature may be associated with breast cancer treatment-induced cardiotoxicity. Cardio-Oncology. 7(1). 15–15. 17 indexed citations
12.
Barrett, Richard, Jaewon Kim, Diana Avery, et al.. (2019). Deletion of Calcineurin Promotes a Protumorigenic Fibroblast Phenotype. Cancer Research. 79(15). 3928–3939. 6 indexed citations
13.
Schadler, Keri, Erika J. Crosby, Alice Y. Zhou, et al.. (2014). Immunosurveillance by Antiangiogenesis: Tumor Growth Arrest by T Cell–Derived Thrombospondin-1. Cancer Research. 74(8). 2171–2181. 14 indexed citations
14.
Zhou, Alice Y. & Sandra Ryeom. (2014). Cyclosporin A Promotes Tumor Angiogenesis in a Calcineurin-Independent Manner by Increasing Mitochondrial Reactive Oxygen Species. Molecular Cancer Research. 12(11). 1663–1676. 22 indexed citations
15.
Zaslavsky, A., Catherine Chen, Kwan‐Hyuck Baek, et al.. (2010). Regional Control of Tumor Growth. Molecular Cancer Research. 8(9). 1198–1206. 18 indexed citations
16.
Rakhra, Kavya, Pavan Bachireddy, Tahera Zabuawala, et al.. (2010). CD4+ T Cells Contribute to the Remodeling of the Microenvironment Required for Sustained Tumor Regression upon Oncogene Inactivation. Cancer Cell. 18(6). 696–696. 9 indexed citations
17.
Lee, Mi-Ni, Se Hee Kim, Bora Kim, et al.. (2010). Roles of Arrest-Defective Protein 1225 and Hypoxia-Inducible Factor 1α in Tumor Growth and Metastasis. JNCI Journal of the National Cancer Institute. 102(6). 426–442. 17 indexed citations
19.
Giuriato, Sylvie, Sandra Ryeom, Alice C. Fan, et al.. (2006). Sustained regression of tumors upon MYC inactivation requires p53 or thrombospondin-1 to reverse the angiogenic switch. Proceedings of the National Academy of Sciences. 103(44). 16266–16271. 115 indexed citations
20.
Ryeom, Sandra, Rebecca J. Greenwald, Arlene H. Sharpe, & Frank McKeon. (2003). The threshold pattern of calcineurin-dependent gene expression is altered by loss of the endogenous inhibitor calcipressin. Nature Immunology. 4(9). 874–881. 105 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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