M. J. Birrer

1.7k citations
24 papers · 1.5k indexed · h-index 14

Impact in

Papers in

    • Ovarian cancer diagnosis and treatment 10
    • Cancer-related Molecular Pathways 6
    • PARP inhibition in cancer therapy 4

M. J. Birrer

23 papers receiving 1.5k citations

Peers

M. J. Birrer
Comparison fields: 5 of 83
  • Reproductive Medicine 229
  • Cancer Research 337
  • Oncology 537
  • Molecular Biology 947
  • Immunology 244
Replace Gary K. Yiu with:
Gary K. Yiu United States
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Citations per field
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Citations per year

Countries citing papers authored by M. J. Birrer

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Birrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20204
2 202043
3 20194
4 20187
5 20129
6 201113
7 20040
8 199631
9 199695
10 199515
11 199479
12
Mechanism of action of a dominant-negative mutant of c-Jun.
1994192
13 19941
14
p53 and Ki-ras gene mutations in epithelial ovarian neoplasms.
1993185
15
Suppression of oncogene-induced transformation by a deletion mutant of c-jun.
1993207
16 1991110
17 1991119
18 1989225
19
Chromosomal deletion, gene amplification, alternative processing, and autocrine growth factor production in the pathogenesis of human lung cancer.
19862
20
The mechanism behind atherosclerosis
19811

About M. J. Birrer

M. J. Birrer is a scholar working on Reproductive Medicine, Oncology, Otorhinolaryngology, Molecular Biology and Cancer Research, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (10 papers), Cancer-related Molecular Pathways (6 papers), Ubiquitin and proteasome pathways (4 papers), PARP inhibition in cancer therapy (4 papers), Virus-based gene therapy research (2 papers), Signaling Pathways in Disease (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Reproductive Medicine (229 citations), Cancer Research (337 citations), Oncology (537 citations), Molecular Biology (947 citations) and Immunology (244 citations). M. J. Birrer has collaborated with scholars based in United States, Canada and Ukraine. Frequent co-authors include Powel H. Brown, J D Minna, J. Schütte, Éva Szabó, Rhoda M. Alani, R. Ilona Linnoila, L. H. Preis, John D. Nash, Michael Teneriello and Michael D. Henry. Their work appears in journals such as Gynecologic Oncology, Journal of Clinical Oncology, Lung Cancer, Annals of Oncology and The Journal of Immunology.

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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