Michelle Macha

646 citations
8 papers · 503 · h-index 8

Impact in

Papers in

Michelle Macha

8 papers receiving 488 citations

Peers

Michelle Macha
Comparison fields: 5 of 35
  • Genetics 435
  • Pediatrics, Perinatology and Child Health 183
  • Plant Science 181
  • Molecular Biology 228
  • Genetics 21
Replace Kathrin S. Precht with:
Kathrin S. Precht United States
N. M. Lawrie United Kingdom
Yonggang Ji United States
Patricia Heard United States
D R Romain New Zealand
B Delobel France
T. Lukusa Belgium
Joleen L. Zackowski United States
Bridgette Soileau United States
Antoinet C.J. Gijsbers Netherlands
Michelle Macha relative to Kathrin S. Precht United States Kathrin S. Precht's profile →
Citations per field
00.5×1.5×
Kathrin S. Precht · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michelle Macha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle Macha Line = papers co-authored together Michelle Macha links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1996255
2 199682
3 199655
4 199839
5 199633
6 200019
7
Identification of a subtle chromosomal translocation in a family with recurrent miscarriages and a child with multiple congenital anomalies. A case report.
199611
8 19939

About Michelle Macha

Michelle Macha is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Plant Science, Molecular Biology and Surgery, having authored 8 papers that have together received 503 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (7 papers), Chromosomal and Genetic Variations (4 papers), Prenatal Screening and Diagnostics (4 papers), Genetic Syndromes and Imprinting (3 papers), Advanced biosensing and bioanalysis techniques (1 paper), Epigenetics and DNA Methylation (1 paper), Congenital limb and hand anomalies (1 paper) and Congenital Anomalies and Fetal Surgery (1 paper). The work is most often cited by research in Genetics (435 citations), Pediatrics, Perinatology and Child Health (183 citations), Plant Science (181 citations), Molecular Biology (228 citations) and Genetics (21 citations). Michelle Macha has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David H. Ledbetter, Ann C. M. Smith, Kathrin S. Precht, William R. Brown, Yi Ning, Regina Regan, Anna V. Roschke, Robert E. Kearney, Samantha J.L. Knight and Kirsti Kvaløy. Their work appears in journals such as Genetics in Medicine, Nature Genetics, Human Genetics, Journal of Medical Genetics and Prenatal Diagnosis.

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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