Catherine E. Welsh

1.9k total citations
11 papers, 862 citations indexed

About

Catherine E. Welsh is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Catherine E. Welsh has authored 11 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Catherine E. Welsh's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic and phenotypic traits in livestock (4 papers) and Wheat and Barley Genetics and Pathology (3 papers). Catherine E. Welsh is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic and phenotypic traits in livestock (4 papers) and Wheat and Barley Genetics and Pathology (3 papers). Catherine E. Welsh collaborates with scholars based in United States, Australia and France. Catherine E. Welsh's co-authors include Leonard McMillan, Gary A. Churchill, Abraham A. Palmer, Karen L. Svenson, Riyan Cheng, Elissa J. Chesler, Daniel M. Gatti, William Valdar, Jeremy Wang and Priscilla K. Tucker and has published in prestigious journals such as Nature Genetics, JNCI Journal of the National Cancer Institute and Genetics.

In The Last Decade

Catherine E. Welsh

9 papers receiving 857 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catherine E. Welsh United States	7	469	379	101	99	84	11	862
David L. Aylor United States	17	383 0.8×	334 0.9×	158 1.6×	63 0.6×	105 1.3×	28	912
Ryan J Buus United States	13	318 0.7×	284 0.7×	60 0.6×	217 2.2×	80 1.0×	21	925
Eun Yong Kang United States	14	503 1.1×	526 1.4×	67 0.7×	95 1.0×	36 0.4×	24	975
John P. Didion United States	12	367 0.8×	702 1.9×	104 1.0×	54 0.5×	113 1.3×	16	1.2k
Petr Šimeček Czechia	16	655 1.4×	627 1.7×	244 2.4×	90 0.9×	61 0.7×	29	1.4k
Michael Wittig Germany	15	504 1.1×	670 1.8×	211 2.1×	83 0.8×	44 0.5×	28	1.2k
Francisco M. De La Vega United States	14	437 0.9×	401 1.1×	73 0.7×	31 0.3×	74 0.9×	21	828
Lois Balmer Australia	15	156 0.3×	368 1.0×	71 0.7×	71 0.7×	115 1.4×	50	825
Thomas Rolland France	11	180 0.4×	884 2.3×	155 1.5×	106 1.1×	55 0.7×	14	1.1k

Countries citing papers authored by Catherine E. Welsh

Since Specialization

Citations

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

Fields of papers citing papers by Catherine E. Welsh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine E. Welsh. 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 Catherine E. Welsh. The network helps show where Catherine E. Welsh may publish in the future.

Co-authorship network of co-authors of Catherine E. Welsh

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

McCastlain, Kelly, Carrie R. Howell, Catherine E. Welsh, et al.. (2021). The Association of Mitochondrial Copy Number With Sarcopenia in Adult Survivors of Childhood Cancer. JNCI Journal of the National Cancer Institute. 113(11). 1570–1580. 12 indexed citations

2.

Morgan, Andrew P. & Catherine E. Welsh. (2020). Informatics resources for the Collaborative Cross and related mouse populations. UNC Libraries.

3.

Didion, John P., Michael W. Nachman, François Bonhomme, et al.. (2020). Subspecific origin and haplotype diversity in the laboratory mouse. UNC Libraries.

4.

Welsh, Catherine E., et al.. (2019). MitoMut. 177–182. 2 indexed citations

5.

Morgan, Andrew P. & Catherine E. Welsh. (2015). Informatics resources for the Collaborative Cross and related mouse populations. Mammalian Genome. 26(9-10). 521–539. 36 indexed citations

6.

Welsh, Catherine E., et al.. (2013). Fine-Scale Recombination Mapping of High-Throughput Sequence Data. 585–594. 2 indexed citations

7.

Svenson, Karen L., Daniel M. Gatti, William Valdar, et al.. (2012). High-Resolution Genetic Mapping Using the Mouse Diversity Outbred Population. Genetics. 190(2). 437–447. 337 indexed citations

8.

Welsh, Catherine E., Darla R. Miller, Kenneth F. Manly, et al.. (2012). Status and access to the Collaborative Cross population. Mammalian Genome. 23(9-10). 706–712. 105 indexed citations

9.

Welsh, Catherine E. & Leonard McMillan. (2012). Accelerating the Inbreeding of Multi-Parental Recombinant Inbred Lines Generated By Sibling Matings. G3 Genes Genomes Genetics. 2(2). 191–198. 12 indexed citations

10.

Welsh, Catherine E., et al.. (2012). Inferring ancestry in admixed populations using microarray probe intensities. 105–112. 16 indexed citations

11.

Yang, Hyuna, Jeremy Wang, John P. Didion, et al.. (2011). Subspecific origin and haplotype diversity in the laboratory mouse. Nature Genetics. 43(7). 648–655. 340 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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