Lynn M. Bjerke

2.6k citations
13 papers · 2.0k · 1 hit paper · h-index 10

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
    • PI3K/AKT/mTOR signaling in cancer
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Chromatin Remodeling and Cancer

Papers in

    • Glioma Diagnosis and Treatment 7
    • PI3K/AKT/mTOR signaling in cancer 3
    • Receptor Mechanisms and Signaling 1
    • Renal and related cancers 1

Lynn M. Bjerke

12 papers receiving 2.0k citations

Lynn M. Bjerke's Hit Papers

Integrated Molecular Meta-Analysis of 1,000 Pediatric High-Grade and Diffuse Intrinsic Pontine Glioma 2017 · 851 citations
8510+3+6Years since publication250500750

Peers

Lynn M. Bjerke
Comparison fields: 5 of 52
  • Genetics 878
  • Molecular Biology 444
  • Cancer Research 66
  • Aging 4
  • Oncology 46
Replace Armida W. M. Fabius with:
Armida W. M. Fabius United States
Ederlyn Q. Dia United States
Regina Fillbrandt Germany
Anna C. Navis Netherlands
Jenny L. Pokorny United States
Owen Clark United States
Jialiang Wang China
Ding Wang China
Carmen Eckerich Germany
Lynn M. Bjerke relative to Armida W. M. Fabius United States Armida W. M. Fabius's profile →
Citations per field
00.5×1.5×
Armida W. M. Fabius · 1×
Citations per year

Countries citing papers authored by Lynn M. Bjerke

Since Specialization
Citations

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

Fields of papers citing papers by Lynn M. Bjerke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Integrated Molecular Meta-Analysis of 1,000 Pediatric High-Grade and Diffuse Intrinsic Pontine Glioma
Hit paper breakdown →
2017851
2 2007312
3 2013259
4 2016191
5 2015186
6 200963
7 202437
8 200629
9 201228
10 201421
11 20185
12 20202
13 20180

About Lynn M. Bjerke

Lynn M. Bjerke is a scholar working on Genetics, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Receptor Mechanisms and Signaling (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Genetics (878 citations), Molecular Biology (444 citations), Cancer Research (66 citations), Aging (4 citations) and Oncology (46 citations). Lynn M. Bjerke has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Paul Workman, Paul Andrew Clarke, Timothy Anthony Yap, Chris Jones, Alan G. Mackay, Diana M. Carvalho, Rui Manuel Reis, Sergey Popov, Alexa Jury and Darren R. Hargrave. Their work appears in journals such as Neuro-Oncology, Cancer Cell, Nature Medicine, PLoS Genetics and Cancer Discovery.

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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