Hannah Carter

16.9k total citations · 2 hit papers
95 papers, 4.4k citations indexed

About

Hannah Carter is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hannah Carter has authored 95 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 32 papers in Cancer Research and 29 papers in Oncology. Recurrent topics in Hannah Carter's work include Cancer Genomics and Diagnostics (28 papers), Immunotherapy and Immune Responses (17 papers) and Cancer Immunotherapy and Biomarkers (17 papers). Hannah Carter is often cited by papers focused on Cancer Genomics and Diagnostics (28 papers), Immunotherapy and Immune Responses (17 papers) and Cancer Immunotherapy and Biomarkers (17 papers). Hannah Carter collaborates with scholars based in United States, United Kingdom and Canada. Hannah Carter's co-authors include Trey Ideker, Rachel Karchin, Matan Hofree, Andrew M. Gross, John Paul Shen, Peter D. Stenson, D.N. Cooper, Christopher Douville, Joan Font-Burgada and Maurizio Zanetti and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Hannah Carter

85 papers receiving 4.3k citations

Hit Papers

Network-based stratification of tumor mutations 2013 2026 2017 2021 2013 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah Carter United States 31 2.6k 1.3k 945 880 629 95 4.4k
Olivier Harismendy United States 32 3.0k 1.2× 1.0k 0.8× 611 0.6× 774 0.9× 507 0.8× 90 4.9k
Izhak Haviv Australia 29 2.3k 0.9× 1.2k 0.9× 1.3k 1.4× 356 0.4× 604 1.0× 56 4.4k
Shumpei Ishikawa Japan 37 2.1k 0.8× 705 0.5× 1.1k 1.2× 497 0.6× 367 0.6× 126 4.5k
David Rossell Spain 19 2.0k 0.8× 854 0.7× 2.1k 2.2× 422 0.5× 582 0.9× 39 4.5k
Shuichi Tsutsumi Japan 43 4.4k 1.7× 1.2k 0.9× 773 0.8× 606 0.7× 452 0.7× 83 5.8k
Brigitte M. Pützer Germany 41 2.9k 1.1× 905 0.7× 1.9k 2.1× 491 0.6× 404 0.6× 112 4.3k
Qianxing Mo United States 39 3.2k 1.2× 1.0k 0.8× 1.8k 1.9× 545 0.6× 845 1.3× 138 6.2k
Mark Merchant United States 32 3.1k 1.2× 591 0.5× 1.6k 1.7× 601 0.7× 567 0.9× 64 4.9k
Keith A. Ching United States 24 6.6k 2.6× 989 0.8× 894 0.9× 1.4k 1.5× 1000 1.6× 45 8.8k
Derek Y. Chiang United States 31 3.9k 1.5× 1.8k 1.4× 1.1k 1.2× 656 0.7× 348 0.6× 57 6.0k

Countries citing papers authored by Hannah Carter

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Carter. A scholar is included among the top collaborators of Hannah Carter 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 Hannah Carter. Hannah Carter 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.
Pagadala, Meghana S., Asona Lui, Julie A. Lynch, et al.. (2024). Healthy lifestyle and prostate cancer risk in the Million Veteran Program. Cancer. 130(20). 3496–3505. 4 indexed citations
2.
Castro, Andrea, et al.. (2024). Identifying Strong Neoantigen MHC-I/II Binding Candidates for Targeted Immunotherapy with SINE. International Journal of Molecular Sciences. 26(1). 205–205.
3.
Dow, Michelle T., et al.. (2024). In vitro evolution and whole genome analysis to study chemotherapy drug resistance in haploid human cells. Scientific Reports. 14(1). 13989–13989. 1 indexed citations
4.
Pagadala, Meghana S., Stephen Ryan, Hannah Carter, & Juan Javier‐Desloges. (2023). Comparison of Genomic Inflation Estimates in Genome-Wide Association Studies Using Genetically Identified Ancestry vs Self-Identified Race/Ethnicity in Prostate Cancer Patients in ELLIPSE Cohort. The Journal of Urology. 211(3). 465–468. 1 indexed citations
5.
Pagadala, Meghana S., Julie A. Lynch, Roshan Karunamuni, et al.. (2022). Polygenic risk of any, metastatic, and fatal prostate cancer in the Million Veteran Program. JNCI Journal of the National Cancer Institute. 115(2). 190–199. 22 indexed citations
6.
Deichaite, Ida, Tyler J. Nelson, Brent S. Rose, et al.. (2022). Differential regulation of TNFα and IL-6 expression contributes to immune evasion in prostate cancer. Journal of Translational Medicine. 20(1). 527–527. 18 indexed citations
7.
Su, Xian, Magalie Dosset, Gonzalo Almanza, et al.. (2021). The unfolded protein response links tumor aneuploidy to local immune dysregulation. EMBO Reports. 22(12). e52509–e52509. 30 indexed citations
8.
Wang, Zishan, Xiao Fan, Yufeng Shen, et al.. (2021). Non-cancer-related pathogenic germline variants and expression consequences in ten-thousand cancer genomes. Genome Medicine. 13(1). 147–147. 4 indexed citations
9.
Chen, Kevin, Ted Liefeld, Michael Reich, et al.. (2021). A phenotypically supervised single-cell analysis protocol to study within-cell-type heterogeneity of cultured mammalian cells. STAR Protocols. 2(2). 100561–100561. 1 indexed citations
10.
Stoner, Samuel A., Katherine Liu, Kei‐ichiro Arimoto, et al.. (2020). The RUNX1-ETO target gene RASSF2 suppresses t(8;21) AML development and regulates Rac GTPase signaling. Blood Cancer Journal. 10(2). 16–16. 9 indexed citations
11.
Rodvold, Jeffrey J., Xian Su, Julia K. Nussbacher, et al.. (2020). IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells. Scientific Reports. 10(1). 8348–8348. 17 indexed citations
12.
Rodvold, Jeffrey J., Xian Su, Stephen Searles, et al.. (2020). IRE1α regulates macrophage polarization, PD-L1 expression, and tumor survival. PLoS Biology. 18(6). e3000687–e3000687. 63 indexed citations
13.
Goodman, Aaron M., Andrea Castro, Rachel Marty Pyke, et al.. (2020). MHC-I genotype and tumor mutational burden predict response to immunotherapy. Genome Medicine. 12(1). 45–45. 79 indexed citations
14.
Kumar, Aditya, Kevin Chen, Afsheen Banisadr, et al.. (2019). Cell Adhesiveness Serves as a Biophysical Marker for Metastatic Potential. Cancer Research. 80(4). 901–911. 47 indexed citations
15.
Contijoch, Francisco, Hannah Carter, Chun Chieh Fan, et al.. (2019). Using a genetic risk score to calculate the optimal age for an individual to undergo coronary artery calcium screening. Journal of cardiovascular computed tomography. 13(4). 203–210. 21 indexed citations
16.
Carter, Hannah, Rachel Marty, Matan Hofree, et al.. (2017). Interaction Landscape of Inherited Polymorphisms with Somatic Events in Cancer. Cancer Discovery. 7(4). 410–423. 87 indexed citations
17.
Hofree, Matan, Hannah Carter, Jason F. Kreisberg, et al.. (2016). Challenges in identifying cancer genes by analysis of exome sequencing data. Nature Communications. 7(1). 12096–12096. 29 indexed citations
18.
Chen, Yunching, Christopher Douville, Cheng Wang, et al.. (2014). A Probabilistic Model to Predict Clinical Phenotypic Traits from Genome Sequencing. PLoS Computational Biology. 10(9). e1003825–e1003825. 40 indexed citations
19.
Carter, Hannah, Sining Chen, Leyla Işık, et al.. (2009). Cancer-Specific High-Throughput Annotation of Somatic Mutations: Computational Prediction of Driver Missense Mutations. Cancer Research. 69(16). 6660–6667. 321 indexed citations
20.
Newman, Scott H., Hannah Carter, Deanne J. Whitworth, & J. G. Zinkl. (2005). Health Assessments and Stress Response of Xantus's Murrelets to Capture, Handling, and Radio-marking. Marine ornithology. 33(2). 16 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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