J.M. Birch

3.5k citations
8 papers · 370 · h-index 6

Impact in

  • Genetics top 10%
    • BRCA gene mutations in cancer
    • Genomic variations and chromosomal abnormalities
    • Ovarian cancer diagnosis and treatment

Papers in

J.M. Birch

8 papers receiving 361 citations

Peers

J.M. Birch
Comparison fields: 5 of 49
  • Genetics 210
  • Reproductive Medicine 60
  • Cancer Research 87
  • Pathology and Forensic Medicine 70
  • Genetics 29
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Izabela Brożek Poland
Hongqi Peng United States
Beike Leegte Netherlands
Ellen Kater‐Baats Netherlands
Paraskevi Apostolou Greece
Sonia Nanda Canada
Lise Sveen United States
Therese Sandberg Sweden
Mariëlle Ruijs Netherlands
Gemma Llort Spain
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Citations per field
00.5×2.6×
Izabela Brożek · 1×
Citations per year

Countries citing papers authored by J.M. Birch

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Birch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
An evaluation of genetic heterogeneity in 145 breast-ovarian cancer families. Breast Cancer Linkage Consortium.
1995210
2 199954
3 199843
4 200326
5 199620
6 199611
7
A linkage study in seven breast cancer families.
19935
8 19991

About J.M. Birch

J.M. Birch is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 370 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (2 papers), Genetic factors in colorectal cancer (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), BRCA gene mutations in cancer (2 papers), Immune Cell Function and Interaction (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Genetics (210 citations), Reproductive Medicine (60 citations), Cancer Research (87 citations), Pathology and Forensic Medicine (70 citations) and Genetics (29 citations). J.M. Birch has collaborated with scholars based in United Kingdom, South Africa and Canada. Frequent co-authors include JudyE. Garber, Deborah Ford, Rósa B. Barkardóttir, Henry T. Lynch, B. A. J. Ponder, Barbara L. Weber, Simon A. Smith, S A Narod, Peter Devilee and G. Malcolm Taylor. Their work appears in journals such as British Journal of Cancer, European Journal of Cancer, Developmental Medicine & Child Neurology, Archives of Disease in Childhood and PubMed.

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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