M Abbott

1.7k total citations
4 papers, 72 citations indexed

About

M Abbott is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, M Abbott has authored 4 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Surgery. Recurrent topics in M Abbott's work include Hedgehog Signaling Pathway Studies (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Renal and related cancers (1 paper). M Abbott is often cited by papers focused on Hedgehog Signaling Pathway Studies (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Renal and related cancers (1 paper). M Abbott collaborates with scholars based in United States and Japan. M Abbott's co-authors include V A McKusick, Jeffrey C. Allen, Carol L. Clericuzio, John M. Graham, Leslie G. Biesecker, Theresa A. Grebe, S Kang, Frank G. Ondrey, Eric Green and Nicholas J. Patronas and has published in prestigious journals such as Journal of Medical Genetics, Clinical Genetics and PubMed.

In The Last Decade

M Abbott

4 papers receiving 68 citations

Peers

M Abbott
Kimberly Grace United States
Marta Amorim Portugal
Billur Moghaddam United States
Richard Redett United States
Şahin Avcı Türkiye
M Abbott
Citations per year, relative to M Abbott M Abbott (= 1×) peers Sophie Blesson

Countries citing papers authored by M Abbott

Since Specialization
Citations

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

Fields of papers citing papers by M Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Abbott

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

All Works

4 of 4 papers shown
1.
Abbott, M, et al.. (2000). Overlap of PIV syndrome, VACTERL and Pallister–Hall syndrome: clinical and molecular analysis. Clinical Genetics. 58(1). 28–30. 19 indexed citations
2.
Kang, S, Jeffrey C. Allen, John M. Graham, et al.. (1997). Linkage mapping and phenotypic analysis of autosomal dominant Pallister-Hall syndrome.. Journal of Medical Genetics. 34(6). 441–446. 38 indexed citations
3.
Biesecker, Leslie G., S Kang, A. A. Schaffer, et al.. (1996). Exclusion of candidate loci and cholesterol biosynthetic abnormalities in familial Pallister-Hall syndrome.. Journal of Medical Genetics. 33(11). 947–951. 7 indexed citations
4.
Folstein, Susan E., et al.. (1981). A phenocopy of Huntington's disease: lacunar infarcts of the corpus striatum.. PubMed. 148(3). 104–8. 8 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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