Michelle Macha

646 total citations
8 papers, 503 citations indexed

About

Michelle Macha is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Plant Science. According to data from OpenAlex, Michelle Macha has authored 8 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Plant Science. Recurrent topics in Michelle Macha's work include Genomic variations and chromosomal abnormalities (7 papers), Prenatal Screening and Diagnostics (4 papers) and Chromosomal and Genetic Variations (4 papers). Michelle Macha is often cited by papers focused on Genomic variations and chromosomal abnormalities (7 papers), Prenatal Screening and Diagnostics (4 papers) and Chromosomal and Genetic Variations (4 papers). Michelle Macha collaborates with scholars based in United States, United Kingdom and Canada. Michelle Macha's co-authors include David H. Ledbetter, Ann C. M. Smith, Kathrin S. Precht, Regina Regan, Robert E. Kearney, William R. Brown, Anna V. Roschke, Samantha J.L. Knight, Jonathan Flint and Kirsti Kvaløy and has published in prestigious journals such as Nature Genetics, Journal of Medical Genetics and Human Genetics.

In The Last Decade

Michelle Macha

8 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Macha United States 8 435 228 183 181 24 8 503
N. M. Lawrie United Kingdom 6 451 1.0× 281 1.2× 128 0.7× 244 1.3× 30 1.3× 7 565
Kathrin S. Precht United States 5 501 1.2× 296 1.3× 146 0.8× 247 1.4× 42 1.8× 6 606
Roberta Santos Guilherme Brazil 14 426 1.0× 213 0.9× 146 0.8× 194 1.1× 8 0.3× 26 512
Yonggang Ji United States 6 448 1.0× 403 1.8× 90 0.5× 169 0.9× 9 0.4× 7 603
B Delobel France 11 313 0.7× 170 0.7× 117 0.6× 85 0.5× 19 0.8× 18 451
Boyan Dimitrov Bulgaria 11 257 0.6× 232 1.0× 80 0.4× 97 0.5× 15 0.6× 32 472
Gordon D. Stewart United States 11 231 0.5× 224 1.0× 75 0.4× 114 0.6× 26 1.1× 17 379
Elisabeth A. Keitges United States 11 439 1.0× 249 1.1× 85 0.5× 105 0.6× 6 0.3× 13 529
Carrie Hanscom United States 10 357 0.8× 207 0.9× 132 0.7× 93 0.5× 8 0.3× 10 487
Malgorzata Schmidt Australia 12 519 1.2× 394 1.7× 67 0.4× 109 0.6× 10 0.4× 19 638

Countries citing papers authored by Michelle Macha

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Macha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Macha

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

All Works

8 of 8 papers shown
1.
Kennedy, Debra, Meredith M. Silver, E.J.T. Winsor, et al.. (2000). Inverted duplication of the distal short arm of chromosome 3 associated with lobar holoprosencephaly and lumbosacral meningomyelocele. American Journal of Medical Genetics. 91(3). 167–170. 19 indexed citations
2.
Pilz, Daniela T., Michelle Macha, Kathrin S. Precht, et al.. (1998). Fluorescence in situ hybridization analysis with LIS1 specific probes reveals a high deletion mutation rate in isolated lissencephaly sequence. Genetics in Medicine. 1(1). 29–33. 39 indexed citations
3.
Huang, Binquan, John A. Crolla, Susan L. Christian, et al.. (1996). Refined molecular characterization of the breakpoints in small inv dup(15) chromosomes. Human Genetics. 99(1). 11–17. 82 indexed citations
4.
Christian, Susan L., Ann C. M. Smith, Michelle Macha, et al.. (1996). PRENATAL DIAGNOSIS OF UNIPARENTAL DISOMY 15 FOLLOWING TRISOMY 15 MOSAICISM. Prenatal Diagnosis. 16(4). 323–332. 55 indexed citations
5.
Macha, Michelle, et al.. (1996). Identification of a subtle chromosomal translocation in a family with recurrent miscarriages and a child with multiple congenital anomalies. A case report.. PubMed. 41(5). 367–71. 11 indexed citations
6.
Kubota, Takeo, Swaroop Aradhya, Michelle Macha, et al.. (1996). Analysis of parent of origin specific DNA methylation at SNRPN and PW71 in tissues: implication for prenatal diagnosis.. Journal of Medical Genetics. 33(12). 1011–1014. 33 indexed citations
7.
Ning, Yi, Anna V. Roschke, Ann C. M. Smith, et al.. (1996). A complete set of human telomeric probes and their clinical application. Nature Genetics. 14(1). 86–89. 255 indexed citations
8.
Veyver, Ignatia B. Van den, Michelle Macha, Christopher McCaskill, Robert J. Carpenter, & Lisa G. Shaffer. (1993). Prenatal diagnosis and clinical findings in a case of hexasomy 12p. American Journal of Medical Genetics. 47(8). 1171–1174. 9 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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