Matthew J. Munro

408 total citations
8 papers, 292 citations indexed

About

Matthew J. Munro is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Matthew J. Munro has authored 8 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Matthew J. Munro's work include Cancer Cells and Metastasis (5 papers), Pluripotent Stem Cells Research (2 papers) and Mesenchymal stem cell research (1 paper). Matthew J. Munro is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Pluripotent Stem Cells Research (2 papers) and Mesenchymal stem cell research (1 paper). Matthew J. Munro collaborates with scholars based in New Zealand, Australia and Sweden. Matthew J. Munro's co-authors include Swee T. Tan, Susrutha K. Wickremesekera, Lifeng Peng, Tinte Itinteang, Reginald Marsh, Clint Gray, Umadevi Kandalam, Steven Kaltman, Toshihisa Kawai and Bede van Schaijik and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Pathology.

In The Last Decade

Matthew J. Munro

8 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew J. Munro New Zealand	5	162	140	84	32	30	8	292
Federica Lorenzi United Kingdom	6	230 1.4×	192 1.4×	104 1.2×	31 1.0×	18 0.6×	8	372
Jana Plavá Slovakia	8	164 1.0×	208 1.5×	137 1.6×	19 0.6×	29 1.0×	16	357
Kiyoung Eun South Korea	8	258 1.6×	181 1.3×	122 1.5×	14 0.4×	28 0.9×	16	395
Trevor G. Levin United States	6	147 0.9×	189 1.4×	74 0.9×	25 0.8×	15 0.5×	15	314
Kieren D. Marini Australia	8	229 1.4×	118 0.8×	80 1.0×	42 1.3×	13 0.4×	9	330
Gudrun Hager Austria	11	171 1.1×	110 0.8×	109 1.3×	53 1.7×	16 0.5×	14	354
Charles Pallangyo Germany	4	126 0.8×	199 1.4×	102 1.2×	29 0.9×	18 0.6×	5	290
Manu Prasad Israel	12	183 1.1×	146 1.0×	83 1.0×	26 0.8×	13 0.4×	27	359
Marlene R.D. Quadros United States	7	201 1.2×	189 1.4×	60 0.7×	25 0.8×	22 0.7×	8	370
Marko Kornmann Germany	10	179 1.1×	178 1.3×	78 0.9×	41 1.3×	17 0.6×	26	375

Countries citing papers authored by Matthew J. Munro

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Munro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Munro. 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 Matthew J. Munro. The network helps show where Matthew J. Munro may publish in the future.

Co-authorship network of co-authors of Matthew J. Munro

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

All Works

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8 of 8 papers shown

Munro, Matthew J., Swee T. Tan, & Clint Gray. (2023). Applications for Colon Organoid Models in Cancer Research. SHILAP Revista de lepidopterología. 2(1). 37–49. 8 indexed citations

Munro, Matthew J., Susrutha K. Wickremesekera, Swee T. Tan, & Lifeng Peng. (2022). Proteomic analysis of low- and high-grade human colon adenocarcinoma tissues and tissue-derived primary cell lines reveals unique biological functions of tumours and new protein biomarker candidates. Clinical Proteomics. 19(1). 27–27. 2 indexed citations

Munro, Matthew J., Lifeng Peng, Susrutha K. Wickremesekera, & Swee T. Tan. (2021). Colon adenocarcinoma-derived cells possessing stem cell function can be modulated using renin-angiotensin system inhibitors. PLoS ONE. 16(8). e0256280–e0256280. 3 indexed citations

Munro, Matthew J., Lifeng Peng, Susrutha K. Wickremesekera, & Swee T. Tan. (2020). Colon adenocarcinoma-derived cells that express induced-pluripotent stem cell markers possess stem cell function. PLoS ONE. 15(5). e0232934–e0232934. 7 indexed citations

Kandalam, Umadevi, et al.. (2020). Predifferentiated Gingival Stem Cell-Induced Bone Regeneration in Rat Alveolar Bone Defect Model. Tissue Engineering Part A. 27(5-6). 424–436. 26 indexed citations

Munro, Matthew J., Susrutha K. Wickremesekera, Lifeng Peng, et al.. (2019). Cancer stem cell subpopulations in primary colon adenocarcinoma. PLoS ONE. 14(9). e0221963–e0221963. 23 indexed citations

Schaijik, Bede van, et al.. (2019). Proliferating infantile hemangioma promotes α-fetoprotein production by HepG2 cells. Pediatric Research. 87(1). 3–6. 1 indexed citations

Munro, Matthew J., Susrutha K. Wickremesekera, Lifeng Peng, Swee T. Tan, & Tinte Itinteang. (2017). Cancer stem cells in colorectal cancer: a review. Journal of Clinical Pathology. 71(2). 110–116. 222 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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