Patrick Danaher

5.7k total citations · 4 hit papers
45 papers, 1.7k citations indexed

About

Patrick Danaher is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Patrick Danaher has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Oncology and 13 papers in Cancer Research. Recurrent topics in Patrick Danaher's work include Single-cell and spatial transcriptomics (16 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Cancer Genomics and Diagnostics (13 papers). Patrick Danaher is often cited by papers focused on Single-cell and spatial transcriptomics (16 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Cancer Genomics and Diagnostics (13 papers). Patrick Danaher collaborates with scholars based in United States, United Kingdom and France. Patrick Danaher's co-authors include Pei Wang, Daniela Witten, Sarah Warren, Joseph Beechem, Lucas Dennis, Kunle Odunsi, Melissa A. Geller, Leonard D’Amico, Steven P. Fling and Mary L. Disis and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Patrick Danaher

41 papers receiving 1.7k citations

Hit Papers

The Joint Graphical Lasso for Inverse Covariance Estimati... 2013 2026 2017 2021 2013 2017 2018 2022 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
    2013 527 citations Patrick Danaher, Pei Wang et al. profile →
  2. Gene expression markers of Tumor Infiltrating Leukocytes
    2017 478 citations Patrick Danaher, Sarah Warren et al. Journal for ImmunoTherapy of Cancer profile →
  3. Pan-cancer adaptive immune resistance as defined by the Tumor Inflammation Signature (TIS): results from The Cancer Genome Atlas (TCGA)
    2018 294 citations Patrick Danaher, Sarah Warren et al. Journal for ImmunoTherapy of Cancer profile →
  4. Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data
    2022 141 citations Patrick Danaher, Young‐Mi Kim et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Danaher United States 12 714 618 406 392 254 45 1.7k
Yufan Zhao United States 18 255 0.4× 674 1.1× 403 1.0× 201 0.5× 95 0.4× 38 1.4k
Arvind Rao United States 32 884 1.2× 1.4k 2.2× 625 1.5× 761 1.9× 625 2.5× 131 4.0k
Laura M. Heiser United States 25 972 1.4× 501 0.8× 154 0.4× 281 0.7× 357 1.4× 69 2.2k
Natália Becker Germany 23 851 1.2× 704 1.1× 183 0.5× 157 0.4× 388 1.5× 57 2.0k
Martin Sill Germany 23 678 0.9× 201 0.3× 94 0.2× 334 0.9× 403 1.6× 71 1.8k
Robert B. Scharpf United States 19 1.5k 2.1× 247 0.4× 156 0.4× 275 0.7× 580 2.3× 74 2.6k
Yinyin Yuan United Kingdom 25 963 1.3× 726 1.2× 247 0.6× 200 0.5× 544 2.1× 67 2.3k
Anestis Touloumis United Kingdom 8 555 0.8× 332 0.5× 125 0.3× 146 0.4× 567 2.2× 18 1.5k
Benjamin Ribba France 20 505 0.7× 443 0.7× 100 0.2× 159 0.4× 274 1.1× 59 1.5k
Kay Tatsuoka United States 12 318 0.4× 489 0.8× 410 1.0× 209 0.5× 169 0.7× 21 1.3k

Countries citing papers authored by Patrick Danaher

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Danaher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Danaher

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Danaher. A scholar is included among the top collaborators of Patrick Danaher 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 Patrick Danaher. Patrick Danaher 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.
Sun, Siyu, Patrick Danaher, Michael J. Raabe, et al.. (2025). LINE-1 ORF1p Mimics Viral Innate Immune Evasion Mechanisms in Pancreatic Ductal Adenocarcinoma. Cancer Discovery. 15(5). 1063–1082. 1 indexed citations
2.
Wen, Hongzhi, Yixin Wang, Wei Jin, et al.. (2024). Deep Learning in Single-cell Analysis. ACM Transactions on Intelligent Systems and Technology. 15(3). 1–62. 8 indexed citations
3.
Jones, Daniel C., Patrick Danaher, Young‐Mi Kim, et al.. (2023). An information theoretic approach to detecting spatially varying genes. Cell Reports Methods. 3(6). 100507–100507. 4 indexed citations
4.
He, Shanshan, Patrick Danaher, Jason Reeves, et al.. (2023). 86 Reveal spatial signatures of tumor microenvironment and oncogenic pathways using 6,000-plex single-cell spatial molecular imaging on FFPE tissue. SHILAP Revista de lepidopterología. A99–A99. 1 indexed citations
5.
Kim, Youngmi, Patrick Danaher, Patrick J. Cimino, et al.. (2023). Highly Multiplexed Spatially Resolved Proteomic and Transcriptional Profiling of the Glioblastoma Microenvironment Using Archived Formalin-Fixed Paraffin-Embedded Specimens. Modern Pathology. 36(1). 100034–100034. 11 indexed citations
6.
Gedda, Mallikarjuna Rao, Patrick Danaher, Lipei Shao, et al.. (2022). Longitudinal transcriptional analysis of peripheral blood leukocytes in COVID-19 convalescent donors. Journal of Translational Medicine. 20(1). 587–587. 11 indexed citations
7.
Danaher, Patrick, et al.. (2022). Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data. Nature Communications. 13(1). 385–385. 141 indexed citations breakdown →
8.
Gedda, Mallikarjuna Rao, Patrick Danaher, Leo Chen, et al.. (2021). 953 Transcriptional analysis of leukocytes from COVID convalescent donors reveals persistent activation of the innate and adaptive immune system. SHILAP Revista de lepidopterología. A1002–A1003. 1 indexed citations
9.
Bartlett, John M.S., Jane Bayani, Elizabeth Kornaga, et al.. (2020). Computational approaches to support comparative analysis of multiparametric tests: Modelling versus Training. PLoS ONE. 15(9). e0238593–e0238593. 6 indexed citations
10.
Li, Xiaotong, Sarah Warren, Vasiliki Pelekanou, et al.. (2019). Immune profiling of pre- and post-treatment breast cancer tissues from the SWOG S0800 neoadjuvant trial. Journal for ImmunoTherapy of Cancer. 7(1). 88–88. 46 indexed citations
11.
Danaher, Patrick, et al.. (2019). A gene expression assay for simultaneous measurement of microsatellite instability and anti-tumor immune activity. Journal for ImmunoTherapy of Cancer. 7(1). 15–15. 20 indexed citations
12.
Warren, Sarah, Patrick Danaher, Afshin Mashadi-Hossein, et al.. (2019). Development of Gene Expression-Based Biomarkers on the nCounter® Platform for Immuno-Oncology Applications. Methods in molecular biology. 2055. 273–300. 3 indexed citations
13.
Danaher, Patrick, Sarah Warren, Rongze Lu, et al.. (2018). Pan-cancer adaptive immune resistance as defined by the Tumor Inflammation Signature (TIS): results from The Cancer Genome Atlas (TCGA). Journal for ImmunoTherapy of Cancer. 6(1). 63–63. 294 indexed citations breakdown →
14.
Vadakekolathu, Jayakumar, Tasleema Patel, Stephen Reeder, et al.. (2017). Immune gene expression profiling in children and adults with acute myeloid leukemia identifies distinct phenotypic patterns. Blood. 130. 3942–3942. 9 indexed citations
15.
Danaher, Patrick, Sarah Warren, Lucas Dennis, et al.. (2017). Gene expression markers of Tumor Infiltrating Leukocytes. Journal for ImmunoTherapy of Cancer. 5(1). 18–18. 478 indexed citations breakdown →
16.
17.
Danaher, Patrick, Debashis Paul, & Pei Wang. (2015). Covariance-based analyses of biological pathways. Biometrika. 102(3). 533–544. 2 indexed citations
18.
Tran, Nam T., et al.. (2015). PC36. Preoperative Risk Score for the Prediction of Mortality Following Repair of Ruptured Abdominal Aortic Aneurysms. Journal of Vascular Surgery. 61(6). 127S–127S. 5 indexed citations
19.
McDavid, Andrew, Lucas Dennis, Patrick Danaher, et al.. (2014). Modeling Bi-modality Improves Characterization of Cell Cycle on Gene Expression in Single Cells. PLoS Computational Biology. 10(7). e1003696–e1003696. 41 indexed citations
20.
Danaher, Patrick, et al.. (2014). Facile semi-automated forensic body fluid identification by multiplex solution hybridization of NanoString® barcode probes to specific mRNA targets. Forensic Science International Genetics. 14. 18–30. 25 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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