Kyle Halliwill

1.3k total citations
16 papers, 662 citations indexed

About

Kyle Halliwill is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Kyle Halliwill has authored 16 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Kyle Halliwill's work include Cancer Genomics and Diagnostics (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer Cells and Metastasis (4 papers). Kyle Halliwill is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer Cells and Metastasis (4 papers). Kyle Halliwill collaborates with scholars based in United States, United Kingdom and Netherlands. Kyle Halliwill's co-authors include Allan Balmain, Reyno Delrosario, Kuang‐Yu Jen, David J. Adams, David A. Quigley, Erik Fredlund, Minh D. To, Thomas Keane, Mamunur Rashid and Peter M.K. Westcott and has published in prestigious journals such as Nature, Science and Nature Medicine.

In The Last Decade

Kyle Halliwill

16 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Halliwill United States 10 348 253 197 117 109 16 662
Ping Jin China 15 459 1.3× 156 0.6× 199 1.0× 71 0.6× 63 0.6× 29 725
Alona Zilberberg Israel 15 637 1.8× 159 0.6× 145 0.7× 96 0.8× 66 0.6× 27 838
Rachid Drissi United States 20 813 2.3× 144 0.6× 142 0.7× 67 0.6× 109 1.0× 45 1.1k
Maria Gagliardi Italy 17 492 1.4× 124 0.5× 133 0.7× 60 0.5× 93 0.9× 30 827
Masahiro Matsuki Japan 8 231 0.7× 280 1.1× 120 0.6× 109 0.9× 152 1.4× 14 839
Verónica Miguela United States 5 320 0.9× 135 0.5× 81 0.4× 146 1.2× 120 1.1× 7 758
Leo J.Y. Kim United States 13 801 2.3× 292 1.2× 365 1.9× 254 2.2× 79 0.7× 18 1.3k
Jeomil Bae South Korea 11 390 1.1× 167 0.7× 119 0.6× 143 1.2× 31 0.3× 16 647
Catherine Clarke United Kingdom 14 430 1.2× 313 1.2× 190 1.0× 55 0.5× 49 0.4× 18 830
Xiaochao Tan United States 17 636 1.8× 156 0.6× 392 2.0× 80 0.7× 63 0.6× 31 955

Countries citing papers authored by Kyle Halliwill

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Halliwill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Halliwill

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

All Works

16 of 16 papers shown
1.
Kandyba, Eve, Kyle Halliwill, Reyno Delrosario, et al.. (2025). Long-Term Latency of Highly Mutated Cells in Normal Mouse Skin Is Reversed by Exposure to Tumor Promoters and Chronic Tissue Damage. Cancer Discovery. 15(6). 1115–1128. 2 indexed citations
2.
Ma, Liqian, Jacob Pfeil, Hui‐Wen Lo, et al.. (2025). Abstract A099: The IO-Atlas Project: A cross-cohort tumor immunophenotyping platform enhancing precision immuno-oncology. Cancer Immunology Research. 13(2_Supplement). A099–A099. 1 indexed citations
3.
Taylor, Mark A., Eve Kandyba, Kyle Halliwill, et al.. (2024). Stem-cell states converge in multistage cutaneous squamous cell carcinoma development. Science. 384(6699). eadi7453–eadi7453. 9 indexed citations
4.
Turan, Tolga, Sarah Kongpachith, Kyle Halliwill, et al.. (2023). iBRIDGE: A Data Integration Method to Identify Inflamed Tumors from Single-cell RNA-Seq Data and Differentiate Cell Type–Specific Markers of Immune-Cell Infiltration. Cancer Immunology Research. 11(6). 732–746. 2 indexed citations
5.
Park, Brian, Austin K. Mattox, Daniel Clayburgh, et al.. (2022). Chemoradiation therapy alters the PD-L1 score in locoregional recurrent squamous cell carcinomas of the head and neck. Oral Oncology. 135. 106183–106183. 9 indexed citations
6.
Baumgartner, Christina K., Marcia N. Paddock, Jennifer M. Frost, et al.. (2022). Abstract ND06: ABBV-CLS-484: An active site PTPN2/N1 inhibitor that augments the immune response and sensitizes tumors to immune-mediated killing. Cancer Research. 82(12_Supplement). ND06–ND06. 4 indexed citations
7.
Halliwill, Kyle, Cassandra Adams, Vivek Iyer, et al.. (2020). Mutational signatures in tumours induced by high and low energy radiation in Trp53 deficient mice. Nature Communications. 11(1). 394–394. 56 indexed citations
8.
Turan, Tolga, Sarah Kongpachith, Kyle Halliwill, et al.. (2020). A balance score between immune stimulatory and suppressive microenvironments identifies mediators of tumour immunity and predicts pan-cancer survival. British Journal of Cancer. 124(4). 760–769. 17 indexed citations
9.
Turan, Tolga, Sarah Kongpachith, Kyle Halliwill, et al.. (2020). Correction: A balance score between immune stimulatory and suppressive microenvironments identifies mediators of tumour immunity and predicts pan-cancer survival. British Journal of Cancer. 124(7). 1340–1340. 13 indexed citations
10.
Turan, Tolga, Maulik Patel, J. Matthew Barnes, et al.. (2018). Immune oncology, immune responsiveness and the theory of everything. Journal for ImmunoTherapy of Cancer. 6(1). 50–50. 46 indexed citations
11.
Huang, Phillips, Eve Kandyba, Arnaud Jabouille, et al.. (2017). Lgr6 is a stem cell marker in mouse skin squamous cell carcinoma. Nature Genetics. 49(11). 1624–1632. 46 indexed citations
12.
Halliwill, Kyle, David A. Quigley, Hio Chung Kang, et al.. (2016). Panx3 links body mass index and tumorigenesis in a genetically heterogeneous mouse model of carcinogen-induced cancer. Genome Medicine. 8(1). 83–83. 11 indexed citations
13.
Quigley, David A., Eve Kandyba, Phillips Huang, et al.. (2016). Gene Expression Architecture of Mouse Dorsal and Tail Skin Reveals Functional Differences in Inflammation and Cancer. Cell Reports. 16(4). 1153–1165. 20 indexed citations
14.
McCreery, Melissa Q., Kyle Halliwill, Reyno Delrosario, et al.. (2015). Evolution of metastasis revealed by mutational landscapes of chemically induced skin cancers. Nature Medicine. 21(12). 1514–1520. 90 indexed citations
15.
DeSalvo, Michael K., et al.. (2014). The Drosophila surface glia transcriptome: evolutionary conserved blood-brain barrier processes. Frontiers in Neuroscience. 8. 346–346. 97 indexed citations
16.
Westcott, Peter M.K., Kyle Halliwill, Minh D. To, et al.. (2014). The mutational landscapes of genetic and chemical models of Kras-driven lung cancer. Nature. 517(7535). 489–492. 239 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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