Sarah M. Shin

585 total citations
11 papers, 73 citations indexed

About

Sarah M. Shin is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sarah M. Shin has authored 11 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Sarah M. Shin's work include Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Sarah M. Shin is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Sarah M. Shin collaborates with scholars based in United States, France and Australia. Sarah M. Shin's co-authors include Alexei Hernandez, Won Jin Ho, Nicole Groß, Soren Charmsaz, Elizabeth M. Jaffee, A.I. Saeed, Mark Yarchoan, Stephanie Xavier, Erin M. Coyne and Daniel J. Zabransky and has published in prestigious journals such as Hepatology, Cancer Research and Oncogene.

In The Last Decade

Sarah M. Shin

9 papers receiving 73 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah M. Shin United States 4 36 28 24 17 11 11 73
Alexei Hernandez United States 5 40 1.1× 30 1.1× 25 1.0× 18 1.1× 12 1.1× 12 78
Jinxia Bao China 4 37 1.0× 25 0.9× 21 0.9× 17 1.0× 10 0.9× 5 71
Divya Sakamuri United States 5 45 1.3× 22 0.8× 21 0.9× 9 0.5× 14 1.3× 6 75
Qichao Yu China 7 29 0.8× 71 2.5× 27 1.1× 30 1.8× 11 1.0× 9 110
Stephanie Xavier United States 4 45 1.3× 30 1.1× 29 1.2× 18 1.1× 19 1.7× 5 111
Hongyu Shi China 5 19 0.5× 43 1.5× 14 0.6× 14 0.8× 8 0.7× 11 71
Zhaohui Wei China 5 23 0.6× 47 1.7× 35 1.5× 19 1.1× 8 0.7× 7 110
Andrea Mayer-Mokler Germany 5 58 1.6× 23 0.8× 48 2.0× 8 0.5× 20 1.8× 10 77
Viola Katharina Vetter Switzerland 3 58 1.6× 18 0.6× 59 2.5× 7 0.4× 12 1.1× 8 92
M. Jankiewicz Poland 3 22 0.6× 31 1.1× 27 1.1× 27 1.6× 10 0.9× 6 89

Countries citing papers authored by Sarah M. Shin

Since Specialization
Citations

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

Fields of papers citing papers by Sarah M. Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah M. Shin. 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 Sarah M. Shin. The network helps show where Sarah M. Shin may publish in the future.

Co-authorship network of co-authors of Sarah M. Shin

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

All Works

11 of 11 papers shown
2.
Christenson, Eric S., Tri‐Long Nguyen, Soren Charmsaz, et al.. (2025). Ablating UNG activity in a mouse model inhibits colorectal cancer growth by increasing tumor immunogenicity. JCI Insight. 10(16).
3.
Anandappa, Gayathri, Amjad H. Talukder, Sarah M. Shin, et al.. (2025). Abstract CT012: Personalized neoantigen vaccine with or without pembrolizumab in patients with microsatellite-stable metastatic colorectal cancer. Cancer Research. 85(8_Supplement_2). CT012–CT012. 1 indexed citations
4.
Patel, Jay, Junwen Deng, Anusha Kambala, et al.. (2024). Spatial Mass Cytometry–Based Single-Cell Imaging Reveals a Disrupted Epithelial–Immune Axis in Prurigo Nodularis. Journal of Investigative Dermatology. 144(11). 2501–2512.e4. 3 indexed citations
5.
Charmsaz, Soren, Nicole Groß, Jae W. Lee, et al.. (2024). Abstract 5306: PTPN22 targeting partners with 41BB/OX40 costimulation to overcome anti-PD1 resistance in pancreatic ductal adenocarcinoma. Cancer Research. 84(6_Supplement). 5306–5306. 1 indexed citations
6.
Grasset, Eloïse M., Atul Deshpande, Jae W. Lee, et al.. (2024). Mapping the breast tumor microenvironment: proximity analysis reveals spatial relationships between macrophage subtypes and metastasis-initiating cancer cells. Oncogene. 43(39). 2927–2937. 2 indexed citations
7.
Li, Yan, Meredith L. Stone, Devora Delman, et al.. (2024). Multimodal immune phenotyping reveals microbial-T cell interactions that shape pancreatic cancer. Cell Reports Medicine. 5(2). 101397–101397. 17 indexed citations
8.
Bennetts, Bruce, et al.. (2024). Newborn Genomic Sequencing Needs Confirmation but Not Repeating. Children. 11(11). 1287–1287. 1 indexed citations
9.
Shin, Sarah M., Alexei Hernandez, Erin M. Coyne, et al.. (2023). Abstract 2270: Combination of CXCR4 antagonist and anti-PD1 therapy results in significant mobilization and increased infiltration of myeloid cells into the metastatic liver microenvironment of PDAC. Cancer Research. 83(7_Supplement). 2270–2270. 6 indexed citations
10.
Shin, Sarah M., Alexei Hernandez, Erin M. Coyne, et al.. (2022). CyTOF protocol for immune monitoring of solid tumors from mouse models. STAR Protocols. 4(1). 101949–101949. 4 indexed citations
11.
Zabransky, Daniel J., Ludmila Danilova, James M. Leatherman, et al.. (2022). Profiling of syngeneic mouse HCC tumor models as a framework to understand anti–PD‐1 sensitive tumor microenvironments. Hepatology. 77(5). 1566–1579. 38 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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