Seumas McCroskery

1.1k total citations · 1 hit paper
6 papers, 894 citations indexed

About

Seumas McCroskery is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Seumas McCroskery has authored 6 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Seumas McCroskery's work include Signaling Pathways in Disease (3 papers), Mesenchymal stem cell research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Seumas McCroskery is often cited by papers focused on Signaling Pathways in Disease (3 papers), Mesenchymal stem cell research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Seumas McCroskery collaborates with scholars based in New Zealand and United States. Seumas McCroskery's co-authors include Mark Thomas, Mridula Sharma, Ravi Kambadur, Linda Maxwell, Mathew P. Daniels, Takanori Nishimura, Lance McLeay, Alex Hennebry, Lin Lin and Ann M. Bailey and has published in prestigious journals such as The Journal of Cell Biology, Journal of Cell Science and Neuroscience.

In The Last Decade

Seumas McCroskery

6 papers receiving 874 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Myostatin negatively regulates satellite cell activation and self-renewal

2003 617 citations Seumas McCroskery, Mark Thomas et al. The Journal of Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seumas McCroskery New Zealand	6	745	255	229	156	132	6	894
Leslie Houghton United States	8	1.0k 1.4×	267 1.0×	247 1.1×	139 0.9×	154 1.2×	10	1.2k
Kathleen M. McCormick United States	11	667 0.9×	212 0.8×	146 0.6×	173 1.1×	117 0.9×	18	885
Joseph X. DiMario United States	18	1.2k 1.6×	207 0.8×	156 0.7×	206 1.3×	156 1.2×	41	1.3k
Thea Shavlakadze Australia	16	861 1.2×	356 1.4×	237 1.0×	100 0.6×	145 1.1×	21	1.1k
Norio Motohashi Japan	20	1.4k 1.8×	324 1.3×	159 0.7×	288 1.8×	210 1.6×	47	1.6k
Stefano Biressi Italy	17	1.2k 1.6×	196 0.8×	146 0.6×	322 2.1×	218 1.7×	31	1.4k
Glen B. Banks United States	21	1.0k 1.4×	235 0.9×	154 0.7×	141 0.9×	127 1.0×	28	1.2k
M. Wehling United States	8	912 1.2×	370 1.5×	207 0.9×	128 0.8×	99 0.8×	12	1.1k
Steven G. Webster United States	4	995 1.3×	129 0.5×	162 0.7×	133 0.9×	124 0.9×	6	1.2k
Daniel J. Bogan United States	18	838 1.1×	150 0.6×	114 0.5×	228 1.5×	116 0.9×	23	977

Countries citing papers authored by Seumas McCroskery

Since Specialization

Citations

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

Fields of papers citing papers by Seumas McCroskery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seumas McCroskery

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

All Works

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6 of 6 papers shown

1.

Wagner, Wolfgang, Seumas McCroskery, & John A. Hammer. (2011). An efficient method for the long-term and specific expression of exogenous cDNAs in cultured Purkinje neurons. Journal of Neuroscience Methods. 200(2). 95–105. 22 indexed citations

2.

Lin, Lin, et al.. (2010). Induction of filopodia-like protrusions by transmembrane agrin: Role of agrin glycosaminoglycan chains and Rho-family GTPases. Experimental Cell Research. 316(14). 2260–2277. 17 indexed citations

3.

McCroskery, Seumas, Ann M. Bailey, Lin Lin, & Mathew P. Daniels. (2009). Transmembrane agrin regulates dendritic filopodia and synapse formation in mature hippocampal neuron cultures. Neuroscience. 163(1). 168–179. 34 indexed citations

4.

McCroskery, Seumas, et al.. (2006). Transmembrane agrin regulates filopodia in rat hippocampal neurons in culture. Molecular and Cellular Neuroscience. 33(1). 15–28. 43 indexed citations

5.

McCroskery, Seumas, Mark Thomas, Alex Hennebry, et al.. (2005). Improved muscle healing through enhanced regeneration and reduced fibrosis in myostatin-null mice. Journal of Cell Science. 118(15). 3531–3541. 161 indexed citations

6.

McCroskery, Seumas, Mark Thomas, Linda Maxwell, Mridula Sharma, & Ravi Kambadur. (2003). Myostatin negatively regulates satellite cell activation and self-renewal. The Journal of Cell Biology. 162(6). 1135–1147. 617 indexed citations breakdown →

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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