S. Church

51.4k total citations · 1 hit paper
89 papers, 3.0k citations indexed

About

S. Church is a scholar working on Astronomy and Astrophysics, Oncology and Immunology. According to data from OpenAlex, S. Church has authored 89 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Astronomy and Astrophysics, 20 papers in Oncology and 15 papers in Immunology. Recurrent topics in S. Church's work include Superconducting and THz Device Technology (23 papers), Radio Astronomy Observations and Technology (15 papers) and Cancer Immunotherapy and Biomarkers (14 papers). S. Church is often cited by papers focused on Superconducting and THz Device Technology (23 papers), Radio Astronomy Observations and Technology (15 papers) and Cancer Immunotherapy and Biomarkers (14 papers). S. Church collaborates with scholars based in United States, United Kingdom and France. S. Church's co-authors include Véronique Frémeaux‐Bacchi, Nicolas S. Merle, Lubka T. Roumenina, Dennis R. Burton, Meng Wang, Michael B. Zwick, Hermann Katinger, Renate Kunert, P. A. R. Ade and Jérôme Galon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Oncology.

In The Last Decade

S. Church

84 papers receiving 3.0k citations

Hit Papers

Complement System Part I – Molecular Mechanisms of Acti... 2015 2026 2018 2022 2015 250 500 750 1000

Peers

S. Church
Eric H. Ekland United States
Lucy H. Young United States
Sumire Kobayashi United States
John J. T. Owen United Kingdom
Jörg Ruppert United States
Andrew McWilliam United States
James P. Long United States
Eric H. Ekland United States
S. Church
Citations per year, relative to S. Church S. Church (= 1×) peers Eric H. Ekland

Countries citing papers authored by S. Church

Since Specialization
Citations

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

Fields of papers citing papers by S. Church

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Church

This figure shows the co-authorship network connecting the top 25 collaborators of S. Church. A scholar is included among the top collaborators of S. Church 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 S. Church. S. Church 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.
Beck, Jessica A., et al.. (2025). Spatial Transcriptomics Advances the Use of Canine Patients in Cancer Research: Analysis of Osteosarcoma-Bearing Pet Dogs Enrolled in a Clinical Trial. Clinical Cancer Research. 31(14). 2957–2962. 2 indexed citations
2.
Moaddel, Ruin, Julián Candia, Ceereena Ubaida‐Mohien, et al.. (2025). Healthy Aging Metabolomic and Proteomic Signatures Across Multiple Physiological Compartments. Aging Cell. 24(6). e70014–e70014.
3.
Gong, Zhaoyuan, Murat Bilgel, Palchamy Elango, et al.. (2024). Evidence of association between higher cardiorespiratory fitness and higher cerebral myelination in aging. Proceedings of the National Academy of Sciences. 121(35). e2402813121–e2402813121. 12 indexed citations
4.
Jovanović, Bojana, S. Church, Khrystyna North, et al.. (2024). Integrative Multiomic Profiling of Triple-Negative Breast Cancer for Identifying Suitable Therapies. Clinical Cancer Research. 30(20). 4768–4779. 3 indexed citations
5.
López, José I., et al.. (2023). Distinct spatial landscapes in clear-cell renal cell carcinoma as revealed by whole transcriptome analysis. Immuno-Oncology Technology. 21. 100690–100690. 4 indexed citations
6.
Mallardo, Domenico, Andrew White, Margaret Ottaviano, et al.. (2023). CD39 and LDHA affects the prognostic role of NLR in metastatic melanoma patients treated with immunotherapy. Journal of Translational Medicine. 21(1). 610–610. 19 indexed citations
7.
Church, S., et al.. (2023). 6 Interrogation of spatial transcriptomics on canine tumor and normal tissue. SHILAP Revista de lepidopterología. A6–A6. 1 indexed citations
8.
Abad, Leslie W., Edward D. Bonnevie, Bowen Chen, et al.. (2023). Abstract 986: A BioPharma best practices framework to enable successful morphology guided spatial biology studies using NanoString GeoMx® Digital Spatial Profiler. Cancer Research. 83(7_Supplement). 986–986. 1 indexed citations
9.
Church, S., et al.. (2023). 205 AI driven interrogation of spatial proteomic and transcriptomics atlases in the tumor microenvironment of triple negative breast cancer. SHILAP Revista de lepidopterología. A233–A233. 1 indexed citations
10.
Bendahl, Pär‐Ola, S. Church, Maria Ekholm, et al.. (2022). PAM50 subtyping and ROR score add long-term prognostic information in premenopausal breast cancer patients. npj Breast Cancer. 8(1). 61–61. 9 indexed citations
11.
Kulasinghe, Arutha, Habib Sadeghirad, Ning Liu, et al.. (2022). 117 High-plex spatial proteomic profiling of immunotherapy response groups in head and neck cancer identifies tissue signatures associated with therapy response. Regular and Young Investigator Award Abstracts. A129–A129. 1 indexed citations
12.
Schlam, Ilana, S. Church, Tyler Hether, et al.. (2021). The tumor immune microenvironment of primary and metastatic HER2− positive breast cancers utilizing gene expression and spatial proteomic profiling. Journal of Translational Medicine. 19(1). 480–480. 24 indexed citations
13.
Nadal, Ernest, Simon Heeke, Jonathan Benzaquen, et al.. (2020). Two Patients With Advanced-Stage Lung Adenocarcinoma With Radiologic Complete Response to Nivolumab Treatment Harboring an STK11/LKB1 Mutation. JCO Precision Oncology. 4(4). 1239–1245. 11 indexed citations
14.
Pedrosa, Leire, Juan Moreno, F. Espósito, et al.. (2019). Immune signatures identify three immune clusters in mCRC, with potential clinical implications. Annals of Oncology. 30. iv120–iv120. 1 indexed citations
15.
Chen, Che-Yu, Shaye Storm, Zhi‐Yun Li, et al.. (2019). Investigating the complex velocity structures within dense molecular cloud cores with GBT-Argus. Monthly Notices of the Royal Astronomical Society. 490(1). 527–539. 14 indexed citations
16.
Church, S. & Jérôme Galon. (2017). Regulation of CTL Infiltration Within the Tumor Microenvironment. Advances in experimental medicine and biology. 1036. 33–49. 25 indexed citations
17.
Cleary, Kieran, Dongwoo T. Chung, S. Church, et al.. (2016). The CO Mapping Array Pathfinder (COMAP). 227. 7 indexed citations
18.
Church, S., Judy M. Lau, T. Gaier, et al.. (2011). Technology developments for a scalable heterodyne MMIC array at W-band. arXiv (Cornell University). 527–530. 3 indexed citations
19.
Church, S., et al.. (2004). Acute necrotising pancreatitis following grain overload in a donkey. Australian Veterinary Journal. 82(10). 619–621. 10 indexed citations
20.
Griffin, Matt, et al.. (1990). Performance tests on Ge:Ga and Ge:Be detectors for the ISO long wavelength spectrometer. ORCA Online Research @Cardiff (Cardiff University). 29. 359–364. 2 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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