Logan A. Walsh

11.4k total citations · 2 hit papers
55 papers, 3.4k citations indexed

About

Logan A. Walsh is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Logan A. Walsh has authored 55 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 21 papers in Molecular Biology and 19 papers in Immunology. Recurrent topics in Logan A. Walsh's work include Immune cells in cancer (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Immunotherapy and Immune Responses (9 papers). Logan A. Walsh is often cited by papers focused on Immune cells in cancer (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Immunotherapy and Immune Responses (9 papers). Logan A. Walsh collaborates with scholars based in Canada, United States and United Kingdom. Logan A. Walsh's co-authors include Daniela F. Quail, Şevin Turcan, Luc G.T. Morris, Timothy A. Chan, Jason T. Huse, Agnès Viale, Olga A. Guryanova, Emrullah Yilmaz, Timothy A. Chan and Armida W. M. Fabius and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Logan A. Walsh

53 papers receiving 3.4k citations

Hit Papers

IDH1 mutation is sufficient to establish the glioma hyper... 2012 2026 2016 2021 2012 2024 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Logan A. Walsh Canada 26 1.7k 1.1k 979 868 697 55 3.4k
Yu Yao China 33 1.1k 0.6× 772 0.7× 893 0.9× 1.1k 1.3× 670 1.0× 112 3.0k
Hualiang Xiao China 27 1.8k 1.0× 993 0.9× 1.1k 1.1× 378 0.4× 554 0.8× 77 3.2k
Christine E. Eyler United States 21 1.9k 1.1× 1.4k 1.3× 1.8k 1.8× 1.1k 1.3× 490 0.7× 41 3.9k
Mario L. Suvà United States 21 3.2k 1.8× 1.4k 1.3× 947 1.0× 946 1.1× 559 0.8× 47 4.4k
Max Chaffanet France 36 2.4k 1.4× 1.0k 1.0× 1.5k 1.5× 756 0.9× 377 0.5× 105 4.4k
Tonia Cenci Italy 25 1.3k 0.7× 803 0.7× 1.0k 1.1× 918 1.1× 270 0.4× 70 2.8k
Marta Pàez‐Ribes United Kingdom 15 1.9k 1.1× 1.1k 1.0× 1000 1.0× 296 0.3× 465 0.7× 18 3.2k
Robert Soriano United States 19 2.7k 1.6× 1.5k 1.3× 1.5k 1.6× 1.8k 2.1× 639 0.9× 20 5.1k
Tathiane M. Malta Brazil 15 2.0k 1.1× 1.2k 1.1× 768 0.8× 387 0.4× 410 0.6× 37 3.1k
Juan Manuel Sepúlveda-Sánchez Spain 29 1.2k 0.7× 637 0.6× 1.5k 1.5× 1.7k 1.9× 844 1.2× 181 3.9k

Countries citing papers authored by Logan A. Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Logan A. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Logan A. Walsh. 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 Logan A. Walsh. The network helps show where Logan A. Walsh may publish in the future.

Co-authorship network of co-authors of Logan A. Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of Logan A. Walsh. A scholar is included among the top collaborators of Logan A. Walsh 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 Logan A. Walsh. Logan A. Walsh 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.
Desharnais, Lysanne, Mark Sorin, Morteza Rezanejad, et al.. (2025). Spatially mapping the tumour immune microenvironments of non-small cell lung cancer. Nature Communications. 16(1). 1345–1345. 9 indexed citations
2.
Camilleri‐Broët, Sophie, Caroline Huynh, Leora Witkowski, et al.. (2023). Next-generation sequencing of non-small cell lung cancer at a Quebec health care cancer centre. Cancer Treatment and Research Communications. 35. 100696–100696. 6 indexed citations
3.
Hooren, Luuk van, Daan J. Kloosterman, Elham Karimi, et al.. (2023). CD103+ regulatory T cells underlie resistance to radio-immunotherapy and impair CD8+ T cell activation in glioblastoma. Nature Cancer. 4(5). 665–681. 57 indexed citations
4.
Attalla, Sherif Samer, Jonathan Boucher, Tarek Taifour, et al.. (2023). HER2Δ16 Engages ENPP1 to Promote an Immune-Cold Microenvironment in Breast Cancer. Cancer Immunology Research. 11(9). 1184–1202. 7 indexed citations
5.
Jenner, Adrianne L., Elham Karimi, Benoit Fiset, et al.. (2023). Agent-Based Modelling Reveals the Role of the Tumor Microenvironment on the Short-Term Success of Combination Temozolomide/Immune Checkpoint Blockade to Treat Glioblastoma. Journal of Pharmacology and Experimental Therapeutics. 387(1). 66–77. 7 indexed citations
6.
Walsh, Logan A. & Daniela F. Quail. (2023). Decoding the tumor microenvironment with spatial technologies. Nature Immunology. 24(12). 1982–1993. 89 indexed citations
7.
Philpott, Holly T., Trevor B. Birmingham, Benoit Fiset, et al.. (2022). Tensile strain and altered synovial tissue metabolism in human knee osteoarthritis. Scientific Reports. 12(1). 17367–17367. 5 indexed citations
8.
Desharnais, Lysanne, Logan A. Walsh, & Daniela F. Quail. (2021). Exploiting the obesity-associated immune microenvironment for cancer therapeutics. Pharmacology & Therapeutics. 229. 107923–107923. 20 indexed citations
9.
Philpott, Holly T., Trevor B. Birmingham, Steven J. MacDonald, et al.. (2020). Mechanobiological responses in synovium: insights into the benefits of exercise and the role of inflammation in knee osteoarthritis. Osteoarthritis and Cartilage. 28. S77–S77. 1 indexed citations
10.
Rayes, Roni, Ioana Nicolau, France Bourdeau, et al.. (2019). Primary tumors induce neutrophil extracellular traps with targetable metastasis-promoting effects. JCI Insight. 4(16). 202 indexed citations
11.
Perus, Lucas J. M. & Logan A. Walsh. (2019). Microenvironmental Heterogeneity in Brain Malignancies. Frontiers in Immunology. 10. 2294–2294. 71 indexed citations
12.
Dalin, Martin G., Alexis Desrichard, Nora Katabi, et al.. (2016). Comprehensive Molecular Characterization of Salivary Duct Carcinoma Reveals Actionable Targets and Similarity to Apocrine Breast Cancer. Clinical Cancer Research. 22(18). 4623–4633. 135 indexed citations
13.
Riaz, Nadeem, Jonathan J. Havel, Sviatoslav M. Kendall, et al.. (2016). Recurrent SERPINB3 and SERPINB4 mutations in patients who respond to anti-CTLA4 immunotherapy. Nature Genetics. 48(11). 1327–1329. 101 indexed citations
14.
Walsh, Logan A., et al.. (2014). Driver mutations of cancer epigenomes. Protein & Cell. 5(4). 265–296. 119 indexed citations
15.
Walsh, Logan A., David M. Roy, Marsha Reyngold, et al.. (2014). RECK controls breast cancer metastasis by modulating a convergent, STAT3-dependent neoangiogenic switch. Oncogene. 34(17). 2189–2203. 32 indexed citations
16.
Quail, Daniela F., Logan A. Walsh, Guihua Zhang, et al.. (2012). Embryonic Protein Nodal Promotes Breast Cancer Vascularization. Cancer Research. 72(15). 3851–3863. 34 indexed citations
17.
Quail, Daniela F., Guihua Zhang, Logan A. Walsh, et al.. (2012). Embryonic Morphogen Nodal Promotes Breast Cancer Growth and Progression. PLoS ONE. 7(11). e48237–e48237. 35 indexed citations
18.
Turcan, Şevin, Daniel Rohle, Anuj Goenka, et al.. (2012). IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype. Nature. 483(7390). 479–483. 1382 indexed citations breakdown →
19.
Walsh, Logan A., et al.. (2007). Soluble membrane-type 3 matrix metalloprioteinase causes changes in gene expression and increased gelatinase activity during Xenopus laevis development. The International Journal of Developmental Biology. 51(5). 389–396. 9 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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