Maeve O’Huallachain

2.1k total citations
5 papers, 454 citations indexed

About

Maeve O’Huallachain is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Maeve O’Huallachain has authored 5 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Maeve O’Huallachain's work include Genomic variations and chromosomal abnormalities (2 papers), Genomics and Rare Diseases (1 paper) and Cancer Genomics and Diagnostics (1 paper). Maeve O’Huallachain is often cited by papers focused on Genomic variations and chromosomal abnormalities (2 papers), Genomics and Rare Diseases (1 paper) and Cancer Genomics and Diagnostics (1 paper). Maeve O’Huallachain collaborates with scholars based in United States, France and Canada. Maeve O’Huallachain's co-authors include M Snyder, Konrad J. Karczewski, Alexander E. Urban, Sherman M. Weissman, Rui Chen, Lukas Habegger, Hanlee P. Ji, Mark Gerstein, Euan A. Ashley and Hugo Y. K. Lam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Journal of Bacteriology.

In The Last Decade

Maeve O’Huallachain

5 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maeve O’Huallachain United States	4	296	157	112	104	42	5	454
Gavin Whissell Spain	8	436 1.5×	68 0.4×	95 0.8×	56 0.5×	15 0.4×	8	714
Mattia D’Antonio Italy	12	397 1.3×	79 0.5×	48 0.4×	94 0.9×	25 0.6×	25	497
Luoyan Zhang China	11	277 0.9×	35 0.2×	29 0.3×	107 1.0×	143 3.4×	32	464
Shinya Kawabe Japan	16	216 0.7×	151 1.0×	86 0.8×	49 0.5×	9 0.2×	25	497
Jun Gu China	14	310 1.0×	33 0.2×	220 2.0×	35 0.3×	253 6.0×	22	680
Lijuan Zhao China	11	166 0.6×	67 0.4×	51 0.5×	33 0.3×	47 1.1×	33	419
Bethany Signal Australia	8	535 1.8×	43 0.3×	80 0.7×	432 4.2×	62 1.5×	16	703
Naoya Miyashita Japan	14	212 0.7×	95 0.6×	40 0.4×	55 0.5×	110 2.6×	31	575
Guan Wang China	9	251 0.8×	163 1.0×	35 0.3×	69 0.7×	224 5.3×	25	533
Honghui Zeng China	12	295 1.0×	61 0.4×	104 0.9×	75 0.7×	23 0.5×	38	471

Countries citing papers authored by Maeve O’Huallachain

Since Specialization

Citations

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

Fields of papers citing papers by Maeve O’Huallachain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maeve O’Huallachain. 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 Maeve O’Huallachain. The network helps show where Maeve O’Huallachain may publish in the future.

Co-authorship network of co-authors of Maeve O’Huallachain

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

All Works

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5 of 5 papers shown

1.

O’Huallachain, Maeve, Felice-Alessio Bava, Mary Shen, et al.. (2020). Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis. Communications Biology. 3(1). 213–213. 17 indexed citations

2.

O’Huallachain, Maeve, Felice-Alessio Bava, Mary Shen, et al.. (2020). Author Correction: Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis. Communications Biology. 3(1). 279–279. 2 indexed citations

3.

O’Huallachain, Maeve, Konrad J. Karczewski, Sherman M. Weissman, Alexander E. Urban, & M Snyder. (2012). Extensive genetic variation in somatic human tissues. Proceedings of the National Academy of Sciences. 109(44). 18018–18023. 99 indexed citations

4.

Lam, Hugo Y. K., Michael J. Clark, Rui Chen, et al.. (2011). Performance comparison of whole-genome sequencing platforms. Nature Biotechnology. 30(1). 78–82. 220 indexed citations

5.

Swingley, Wesley D., Stephen D. Mastrian, Chaitanya R. Acharya, et al.. (2006). The Complete Genome Sequence of Roseobacter denitrificans Reveals a Mixotrophic Rather than Photosynthetic Metabolism. Journal of Bacteriology. 189(3). 683–690. 116 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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