Anna J. Marsh

798 citations
20 papers · 687 · h-index 14

Impact in

  • Genetics top 10%
    • BRCA gene mutations in cancer
    • Genomics and Rare Diseases
    • Breast Cancer Treatment Studies

Papers in

    • BRCA gene mutations in cancer 10
    • Genomic variations and chromosomal abnormalities 1
    • Genetic factors in colorectal cancer 2
    • Breast Lesions and Carcinomas 1

Anna J. Marsh

19 papers receiving 677 citations

Peers

Anna J. Marsh
Comparison fields: 5 of 47
  • Genetics 337
  • Cancer Research 81
  • Molecular Biology 183
  • Reproductive Medicine 22
  • Oncology 44
Replace Cinzia Casella with:
Cinzia Casella United States
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Citations per field
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Citations per year

Countries citing papers authored by Anna J. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Anna J. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna J. Marsh. 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 Anna J. Marsh. The network helps show where Anna J. Marsh may publish in the future.

Co-authors

The 25 scholars most cited alongside Anna J. Marsh, 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 Anna J. Marsh Line = papers co-authored together Anna J. Marsh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006135
2 200983
3 201074
4 200470
5 201059
6 200543
7 200534
8 200031
9 200528
10 199824
11 200619
12 200116
13 200014
14 200614
15 200811
16 202210
17 20038
18 20068
19 20105
20
The segregation distortion of MTHFR haplotypes is not increased in DZ twinning
20021

About Anna J. Marsh

Anna J. Marsh is a scholar working on Genetics, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health, Cancer Research and Molecular Biology, having authored 20 papers that have together received 687 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (10 papers), Epigenetics and DNA Methylation (3 papers), Breast Cancer Treatment Studies (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Genetic factors in colorectal cancer (2 papers), Breast Lesions and Carcinomas (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Genetics (337 citations), Cancer Research (81 citations), Molecular Biology (183 citations), Reproductive Medicine (22 citations) and Oncology (44 citations). Anna J. Marsh has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Georgia Chenevix‐Trench, Nicola Waddell, Sunil R. Lakhani, Leonard Da Silva, James M. Flanagan, Brandon J. Wainwright, Carol Wicking, Sibylle Cocciardi, Peter T. Simpson and Kum Kum Khanna. Their work appears in journals such as Human Mutation, Breast Cancer Research and Treatment, Breast Cancer Research, The Journal of Pathology and Journal of Clinical Oncology.

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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