Michael M. Khayat

781 total citations
7 papers, 136 citations indexed

About

Michael M. Khayat is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Michael M. Khayat has authored 7 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 2 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Michael M. Khayat's work include Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Michael M. Khayat is often cited by papers focused on Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Michael M. Khayat collaborates with scholars based in United States, United Kingdom and China. Michael M. Khayat's co-authors include Richard A. Gibbs, Jennifer E. Posey, Aniko Sabo, David R. Murdock, James R. Lupski, Yunyun Jiang, Michael F. Wangler, Shalini N. Jhangiani, Qingchang Meng and Luis Sánchez‐Pulido and has published in prestigious journals such as The American Journal of Human Genetics, Genome biology and Human Mutation.

In The Last Decade

Michael M. Khayat

7 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael M. Khayat United States	6	84	74	18	15	15	7	136
Alan Lenarcic United States	5	110 1.3×	159 2.1×	10 0.6×	32 2.1×	6 0.4×	5	261
Razib Khan United States	5	102 1.2×	51 0.7×	11 0.6×	21 1.4×	3 0.2×	7	165
Kumitaa Theva Das Malaysia	5	43 0.5×	114 1.5×	6 0.3×	8 0.5×	13 0.9×	13	146
Ginger D. Shaw United States	8	67 0.8×	62 0.8×	4 0.2×	9 0.6×	12 0.8×	17	164
Anwica Kashfeen United States	3	78 0.9×	54 0.7×	4 0.2×	12 0.8×	12 0.8×	6	152
John Sebastian Sigmon United States	3	78 0.9×	52 0.7×	4 0.2×	12 0.8×	12 0.8×	4	150
Martin Modrák Czechia	9	102 1.2×	156 2.1×	14 0.8×	7 0.5×	12 0.8×	18	228
Shijie Lyu China	10	134 1.6×	76 1.0×	45 2.5×	13 0.9×	4 0.3×	28	222
Stephanie Lauer United States	4	60 0.7×	91 1.2×	20 1.1×	3 0.2×	10 0.7×	4	157
Alexey N. Spiridonov United States	6	55 0.7×	271 3.7×	80 4.4×	5 0.3×	7 0.5×	8	326

Countries citing papers authored by Michael M. Khayat

Since Specialization

Citations

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

Fields of papers citing papers by Michael M. Khayat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael M. Khayat

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

All Works

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7 of 7 papers shown

1.

Tosur, Mustafa, Claudia Soler‐Alfonso, Michael M. Khayat, et al.. (2021). Exome sequencing in children with clinically suspected maturity‐onset diabetes of the young. Pediatric Diabetes. 22(7). 960–968. 5 indexed citations

2.

Khayat, Michael M., Sayed Mohammad Ebrahim Sahraeian, Samantha Zarate, et al.. (2021). Hidden biases in germline structural variant detection. Genome biology. 22(1). 347–347. 15 indexed citations

3.

He, Li, Moez Dawood, Michael M. Khayat, et al.. (2021). Exome variant discrepancies due to reference-genome differences. The American Journal of Human Genetics. 108(7). 1239–1250. 31 indexed citations

4.

Khayat, Michael M., He Li, Jianhong Hu, et al.. (2021). Phenotypic and protein localization heterogeneity associated with AHDC1 pathogenic protein‐truncating alleles in Xia–Gibbs syndrome. Human Mutation. 42(5). 577–591. 13 indexed citations

5.

Murdock, David R., Yunyun Jiang, Michael F. Wangler, et al.. (2019). Xia–Gibbs syndrome in adulthood: a case report with insight into the natural history of the condition. Molecular Case Studies. 5(3). a003608–a003608. 13 indexed citations

6.

Jiang, Yunyun, Michael F. Wangler, Amy L. McGuire, et al.. (2018). The phenotypic spectrum of Xia‐Gibbs syndrome. American Journal of Medical Genetics Part A. 176(6). 1315–1326. 31 indexed citations

7.

Moser, Lindsey A., Steven J. Pauszek, Krystal Matthews, et al.. (2016). A Universal Next-Generation Sequencing Protocol To Generate Noninfectious Barcoded cDNA Libraries from High-Containment RNA Viruses. mSystems. 1(3). 28 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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