Anna Marsh

808 citations
18 papers · 449 · h-index 12

Impact in

Papers in

    • DNA Repair Mechanisms 3
    • Genomics and Chromatin Dynamics 3
    • RNA modifications and cancer 3
    • RNA Research and Splicing 3
    • BRCA gene mutations in cancer 8

Anna Marsh

17 papers receiving 442 citations

Peers

Anna Marsh
Comparison fields: 5 of 69
  • Genetics 136
  • Cancer Research 60
  • Molecular Biology 273
  • Reproductive Medicine 25
  • Oncology 62
Replace Junko Sakaguchi with:
Junko Sakaguchi Japan
Xiaowen Tong China
Garrett P. Larson United States
Kateřina Jirásková Czechia
Mehdi Allahbakhshian Farsani Iran
Areege Mustafa Kamal Iraq
G. G. Carmichael United States
Bardes B. Hassan Egypt
Zuzanna Niewiadomska France
David E. Watson United States
Anna Marsh relative to Junko Sakaguchi Japan Junko Sakaguchi's profile →
Citations per field
00.5×1.5×1.8×
Junko Sakaguchi · 1×
Citations per year

Countries citing papers authored by Anna Marsh

Since Specialization
Citations

This map shows the geographic impact of Anna 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 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 Marsh more than expected).

Fields of papers citing papers by Anna Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201070
2 200468
3 201055
4 200543
5 200534
6 200031
7 200027
8 200526
9 199824
10 200614
11 200114
12 200013
13 200811
14 20038
15 20065
16 20044
17 20061
18
The segregation distortion of MTHFR haplotypes is not increased in DZ twinning
20021

About Anna Marsh

Anna Marsh is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 449 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (8 papers), Genetic factors in colorectal cancer (4 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Ovarian function and disorders (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Genetics (136 citations), Cancer Research (60 citations), Molecular Biology (273 citations), Reproductive Medicine (25 citations) and Oncology (62 citations). Anna Marsh has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Georgia Chenevix‐Trench, Tony Howes, David A. Mitchell, Deidre M. Stuart, Nicola Waddell, Sunil R. Lakhani, Carol Wicking, Brandon J. Wainwright, James M. Flanagan and Peter T. Simpson. Their work appears in journals such as Human Mutation, Breast Cancer Research, Breast Cancer Research and Treatment, Biotechnology Letters and Genes Chromosomes and Cancer.

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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