Matthew Donne

1.1k total citations
9 papers, 793 citations indexed

About

Matthew Donne is a scholar working on Molecular Biology, Physiology and Biotechnology. According to data from OpenAlex, Matthew Donne has authored 9 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Biotechnology. Recurrent topics in Matthew Donne's work include CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (2 papers) and Renal and related cancers (2 papers). Matthew Donne is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (2 papers) and Renal and related cancers (2 papers). Matthew Donne collaborates with scholars based in United States, United Kingdom and Austria. Matthew Donne's co-authors include Paul J. Wolters, Jason R. Rock, Gary Green, Beñat Mallavia, Mark R. Looney, Supparerk Disayabutr, Ram P. Naikawadi, Prescott G. Woodruff, Owen D. Solberg and Meng Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Development.

In The Last Decade

Matthew Donne

9 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Donne United States	7	438	256	151	88	83	9	793
Luís F. Menezes United States	19	1.2k 2.6×	132 0.5×	70 0.5×	15 0.2×	21 0.3×	30	1.7k
Michelle Breuiller-Fouché France	19	246 0.6×	146 0.6×	146 1.0×	276 3.1×	328 4.0×	44	954
Emily K. Blue United States	12	343 0.8×	21 0.1×	52 0.3×	61 0.7×	38 0.5×	19	497
Duncan B. Johnstone United States	13	450 1.0×	35 0.1×	53 0.4×	21 0.2×	47 0.6×	16	844
Xinhui Sun China	9	491 1.1×	61 0.2×	47 0.3×	12 0.1×	60 0.7×	22	961
Emmanouil Athanasakis Italy	14	301 0.7×	52 0.2×	33 0.2×	8 0.1×	98 1.2×	35	602
Verena Brand Germany	14	443 1.0×	290 1.1×	620 4.1×	5 0.1×	126 1.5×	20	1.0k
Ja‐Hyun Jang South Korea	17	382 0.9×	61 0.2×	74 0.5×	13 0.1×	43 0.5×	121	990
Periklis Makrythanasis Switzerland	18	402 0.9×	111 0.4×	81 0.5×	7 0.1×	54 0.7×	58	798
Siru Mäkelä Finland	11	342 0.8×	173 0.7×	32 0.2×	5 0.1×	111 1.3×	27	653

Countries citing papers authored by Matthew Donne

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Donne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Donne

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

All Works

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9 of 9 papers shown

Kolundžić, Nikola, Preeti Khurana, Liani Devito, et al.. (2019). Induced pluripotent stem cell line heterozygous for p.R2447X mutation in filaggrin: KCLi002-A. Stem Cell Research. 38. 101462–101462. 5 indexed citations

Devito, Liani, Matthew Donne, Nikola Kolundžić, et al.. (2018). Induced pluripotent stem cell line from an atopic dermatitis patient heterozygous for c.2282del4 mutation in filaggrin: KCLi001-A. Stem Cell Research. 31. 122–126. 4 indexed citations

Zeng, Hanlin, Aparna Jorapur, A. Hunter Shain, et al.. (2018). Bi-allelic Loss of CDKN2A Initiates Melanoma Invasion via BRN2 Activation. Cancer Cell. 34(1). 56–68.e9. 86 indexed citations

Stanton, Morgan M., et al.. (2018). Prospects for the Use of Induced Pluripotent Stem Cells in Animal Conservation and Environmental Protection. Stem Cells Translational Medicine. 8(1). 7–13. 43 indexed citations

Naikawadi, Ram P., Supparerk Disayabutr, Beñat Mallavia, et al.. (2016). Telomere dysfunction in alveolar epithelial cells causes lung remodeling and fibrosis. JCI Insight. 1(14). e86704–e86704. 186 indexed citations

Zdravkovic, Tamara, Kristopher L. Nazor, Nicholas Larocque, et al.. (2015). Human stem cells from single blastomeres reveal pathways of Embryonic or trophoblast fate specification. Development. 142(23). 4010–25. 59 indexed citations

Ameri, Kurosh, Vien Nguyen, T. A. B. Sanders, et al.. (2013). Nuclear Localization of the Mitochondrial Factor HIGD1A during Metabolic Stress. PLoS ONE. 8(4). e62758–e62758. 32 indexed citations

Huang, Fen, Hongkang Zhang, Meng Wu, et al.. (2012). Calcium-activated chloride channel TMEM16A modulates mucin secretion and airway smooth muscle contraction. Proceedings of the National Academy of Sciences. 109(40). 16354–16359. 282 indexed citations

Genbačev, Olga, Matthew Donne, Mirhan Kapidzic, et al.. (2011). Establishment of Human Trophoblast Progenitor Cell Lines from the Chorion. Stem Cells. 29(9). 1427–1436. 96 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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