Jamie Guenthoer

1.8k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Jamie Guenthoer is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jamie Guenthoer has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Jamie Guenthoer's work include SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Immunology Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jamie Guenthoer is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Immunology Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jamie Guenthoer collaborates with scholars based in United States, South Africa and Canada. Jamie Guenthoer's co-authors include Jason H. Bielas, Peggy L. Porter, Stephen R. Williams, Raphaël Gottardo, Cedric R. Uytingco, Matthew R. Stone, Thomas H. Pulliam, Paul Nghiem, Edward Zhao and Kimberly S. Smythe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Cancer Research.

In The Last Decade

Jamie Guenthoer

18 papers receiving 1.0k citations

Hit Papers

Spatial transcriptomics at subspot resolution with BayesS... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie Guenthoer United States 11 696 240 239 218 71 18 1.0k
Robert Cornelison United States 18 770 1.1× 297 1.2× 114 0.5× 230 1.1× 41 0.6× 29 1.1k
Andreas Mund Denmark 17 1.1k 1.6× 237 1.0× 162 0.7× 154 0.7× 79 1.1× 28 1.5k
Shih‐Yu Chen Taiwan 14 484 0.7× 183 0.8× 280 1.2× 98 0.4× 65 0.9× 29 973
Anja Sieber Germany 12 775 1.1× 227 0.9× 195 0.8× 185 0.8× 60 0.8× 19 1.2k
Deena M.A. Gendoo Canada 15 528 0.8× 336 1.4× 141 0.6× 322 1.5× 19 0.3× 25 990
Marion Chevrier France 10 610 0.9× 127 0.5× 291 1.2× 181 0.8× 122 1.7× 20 974
Anna Vähärautio Finland 12 950 1.4× 209 0.9× 191 0.8× 368 1.7× 45 0.6× 18 1.5k
Michaël Schubert Netherlands 9 683 1.0× 200 0.8× 263 1.1× 189 0.9× 22 0.3× 14 1.0k
Anna Arutyunyan United States 8 570 0.8× 125 0.5× 220 0.9× 134 0.6× 74 1.0× 10 825
Jessica A. Engel Australia 9 610 0.9× 106 0.4× 194 0.8× 172 0.8× 54 0.8× 15 848

Countries citing papers authored by Jamie Guenthoer

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Guenthoer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Guenthoer

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

All Works

18 of 18 papers shown
1.
Lilly, Michelle M., Vrasha Chohan, Jamie Guenthoer, et al.. (2024). Delineating the functional activity of antibodies with cross-reactivity to SARS-CoV-2, SARS-CoV-1 and related sarbecoviruses. PLoS Pathogens. 20(10). e1012650–e1012650. 1 indexed citations
2.
Guenthoer, Jamie, Meghan Garrett, Michelle M. Lilly, et al.. (2024). The S2 subunit of spike encodes diverse targets for functional antibody responses to SARS-CoV-2. PLoS Pathogens. 20(8). e1012383–e1012383. 6 indexed citations
3.
Itell, Hannah L., et al.. (2024). Host cell glycosylation selects for infection with CCR5- versus CXCR4-tropic HIV-1. Nature Microbiology. 9(11). 2985–2996. 3 indexed citations
4.
Guenthoer, Jamie, Michelle M. Lilly, Tyler N. Starr, et al.. (2023). Identification of broad, potent antibodies to functionally constrained regions of SARS-CoV-2 spike following a breakthrough infection. Proceedings of the National Academy of Sciences. 120(23). e2220948120–e2220948120. 23 indexed citations
5.
Zhao, Edward, Matthew R. Stone, Xing Ren, et al.. (2021). Spatial transcriptomics at subspot resolution with BayesSpace. Nature Biotechnology. 39(11). 1375–1384. 448 indexed citations breakdown →
6.
Li, Christopher I., Yuping Zhang, Marcin Cieślik, et al.. (2021). Cancer Cell Intrinsic and Immunologic Phenotypes Determine Clinical Outcomes in Basal-like Breast Cancer. Clinical Cancer Research. 27(11). 3079–3093. 10 indexed citations
7.
Dvinge, Heidi, Jamie Guenthoer, Peggy L. Porter, & Robert K. Bradley. (2019). RNA components of the spliceosome regulate tissue- and cancer-specific alternative splicing. Genome Research. 29(10). 1591–1604. 105 indexed citations
8.
Stepanenko, Valeriy, Jamie Guenthoer, Kenneth J. Kopecky, et al.. (2019). Female breast cancer risk in Bryansk Oblast, Russia, following prolonged low dose rate exposure to radiation from the Chernobyl power station accident. International Journal of Epidemiology. 49(2). 448–456. 16 indexed citations
9.
Rodler, Eve T., Brenda F. Kurland, Melissa Griffin, et al.. (2016). Phase I Study of Veliparib (ABT-888) Combined with Cisplatin and Vinorelbine in Advanced Triple-Negative Breast Cancer and/or BRCA Mutation–Associated Breast Cancer. Clinical Cancer Research. 22(12). 2855–2864. 69 indexed citations
10.
Morrish, Fionnuala, Daniel J. Graham, Jamie Guenthoer, et al.. (2016). An unsupervised MVA method to compare specific regions in human breast tumor tissue samples using ToF-SIMS. The Analyst. 141(6). 1947–1957. 23 indexed citations
11.
12.
Gharpure, Kshipra M., Susan L. Tucker, Shelley M. Herbrich, et al.. (2015). Abstract 2273: Mechanistic and functional implications of FABP4 in ovarian cancer metastasis. Cancer Research. 75(15_Supplement). 2273–2273. 1 indexed citations
13.
Tucker, Susan L., Kshipra M. Gharpure, Shelley M. Herbrich, et al.. (2014). Molecular Biomarkers of Residual Disease after Surgical Debulking of High-Grade Serous Ovarian Cancer. Clinical Cancer Research. 20(12). 3280–3288. 68 indexed citations
14.
Robins, Harlan, Nolan G. Ericson, Jamie Guenthoer, et al.. (2013). Digital Genomic Quantification of Tumor-Infiltrating Lymphocytes. Science Translational Medicine. 5(214). 214ra169–214ra169. 49 indexed citations
15.
Emerson, Ryan, Anna Sherwood, Mark J. Rieder, et al.. (2013). High‐throughput sequencing of T‐cell receptors reveals a homogeneous repertoire of tumour‐infiltrating lymphocytes in ovarian cancer. The Journal of Pathology. 231(4). 433–440. 119 indexed citations
16.
Guenthoer, Jamie, Scott J. Diede, Hisashi Tanaka, et al.. (2011). Assessment of palindromes as platforms for DNA amplification in breast cancer. Genome Research. 22(2). 232–245. 28 indexed citations
17.
Diede, Scott J., Jamie Guenthoer, Linda N. Geng, et al.. (2009). DNA methylation of developmental genes in pediatric medulloblastomas identified by denaturation analysis of methylation differences. Proceedings of the National Academy of Sciences. 107(1). 234–239. 46 indexed citations
18.
Loo, Lenora W. M., Carl C.T. Ton, Douglas I. Grove, et al.. (2006). Identification of genomic alterations differentiating lobular and ductal subtypes of breast cancer. Cancer Research. 66. 611–612. 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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