Mark Greenslade

473 total citations
10 papers, 262 citations indexed

About

Mark Greenslade is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Mark Greenslade has authored 10 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Surgery. Recurrent topics in Mark Greenslade's work include Genomics and Rare Diseases (2 papers), Glioma Diagnosis and Treatment (2 papers) and Cancer Genomics and Diagnostics (2 papers). Mark Greenslade is often cited by papers focused on Genomics and Rare Diseases (2 papers), Glioma Diagnosis and Treatment (2 papers) and Cancer Genomics and Diagnostics (2 papers). Mark Greenslade collaborates with scholars based in United Kingdom, New Zealand and Australia. Mark Greenslade's co-authors include Kathreena M. Kurian, Hayley Ellis, Andrea Sottoriva, Inmaculada Spiteri, Alan Fryer, Claire Bailey, Rita Horváth, Veronika Boczonadi, Boglárka Bánsági and Thalia Antoniadi and has published in prestigious journals such as Neurology, Atherosclerosis and Journal of Neuropathology & Experimental Neurology.

In The Last Decade

Mark Greenslade

10 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Greenslade United Kingdom 7 136 98 64 48 33 10 262
John DeSisto United States 9 147 1.1× 97 1.0× 30 0.5× 55 1.1× 13 0.4× 22 284
Xiang Lin China 10 211 1.6× 83 0.8× 119 1.9× 23 0.5× 37 1.1× 33 369
Brynn H. Cardozo United States 5 212 1.6× 48 0.5× 25 0.4× 55 1.1× 35 1.1× 6 371
Diana Aguilar‐Morante Spain 14 220 1.6× 35 0.4× 50 0.8× 36 0.8× 22 0.7× 16 329
Laura Sourd France 7 146 1.1× 48 0.5× 50 0.8× 27 0.6× 24 0.7× 16 320
Clarice Patrono Italy 9 126 0.9× 37 0.4× 77 1.2× 27 0.6× 19 0.6× 20 238
Alice Moncada Italy 6 178 1.3× 83 0.8× 18 0.3× 111 2.3× 28 0.8× 7 272
I‐Li Tan United States 7 220 1.6× 80 0.8× 17 0.3× 51 1.1× 19 0.6× 8 349
Anthony T. Trinh United States 8 296 2.2× 47 0.5× 30 0.5× 85 1.8× 22 0.7× 9 356
Loredana Guglielmi Italy 10 166 1.2× 80 0.8× 17 0.3× 34 0.7× 15 0.5× 14 278

Countries citing papers authored by Mark Greenslade

Since Specialization
Citations

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

Fields of papers citing papers by Mark Greenslade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Greenslade

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

All Works

10 of 10 papers shown
1.
Sousa, Sunita M C De, Timothy M. E. Davis, James Harraway, et al.. (2025). Australian and New Zealand joint society consensus statement on genetic testing for monogenic diabetes in adults. The Medical Journal of Australia. 223(9). 484–491. 2 indexed citations
2.
Tsai, Peter, Polona Le Quesne Stabej, Jing Rong, et al.. (2024). Benchmarking nanopore sequencing and rapid genomics feasibility: validation at a quaternary hospital in New Zealand. npj Genomic Medicine. 9(1). 57–57. 8 indexed citations
3.
Greenslade, Mark, et al.. (2023). Monogenic diabetes in New Zealand - An audit based revision of the monogenic diabetes genetic testing pathway in New Zealand. Frontiers in Endocrinology. 14. 1116880–1116880. 6 indexed citations
4.
Greenslade, Mark, et al.. (2021). Genomic characterisation of diffuse large B-cell lymphoma. Pathology. 53(3). 367–376. 13 indexed citations
5.
Forrester, Natalie, Rita Horváth, Lorenzo Maggi, et al.. (2020). Clinical and Genetic Features in a Series of Eight Unrelated Patients with Neuropathy Due to Glycyl-tRNA Synthetase (GARS) Variants. Journal of Neuromuscular Diseases. 7(2). 137–143. 12 indexed citations
6.
Bánsági, Boglárka, Helen Griffin, Roger G. Whittaker, et al.. (2017). Genetic heterogeneity of motor neuropathies. Neurology. 88(13). 1226–1234. 69 indexed citations
8.
Ellis, Hayley, et al.. (2015). Current Challenges in Glioblastoma: Intratumour Heterogeneity, Residual Disease, and Models to Predict Disease Recurrence. Frontiers in Oncology. 5. 251–251. 81 indexed citations
9.
Bailey, Claire, Alan Fryer, & Mark Greenslade. (2015). Warsaw Breakage Syndrome – A further report, emphasising cutaneous findings. European Journal of Medical Genetics. 58(4). 235–237. 27 indexed citations
10.
Faulkner, Claire, Hayley Ellis, Abigail Shaw, et al.. (2015). BRAF Fusion Analysis in Pilocytic Astrocytomas: KIAA1549-BRAF 15-9 Fusions Are More Frequent in the Midline Than Within the Cerebellum. Journal of Neuropathology & Experimental Neurology. 74(9). 867–872. 43 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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