Peter Frommolt

5.1k citations
63 papers · 4.0k · 1 hit paper · h-index 35

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 3
    • Glioma Diagnosis and Treatment 2
    • BRCA gene mutations in cancer 2

Peter Frommolt

62 papers receiving 4.0k citations

Peter Frommolt's Hit Papers

PTEN Loss Contributes to Erlotinib Resistance in EGFR-Mutant Lung Cancer by Activation of Akt and EGFR 2009 · 436 citations
4360+5+11Years since publication100200300400

Peers

Peter Frommolt
Comparison fields: 5 of 95
  • Aging 70
  • Endocrine and Autonomic Systems 151
  • Genetics 146
  • Sensory Systems 70
  • Molecular Biology 751
Replace Christian C. Dibble with:
Christian C. Dibble United States
Peter Juo United States
Gijs W van Haaften Netherlands
Christina Anne Mitchell Australia
Bjoern Schwer United States
Anatoli S. Gleiberman United States
Bogi Andersen United States
Hwei-Ling Cheng United States
Zhiyong Huang China
Cuiying Xiao United States
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Citations per field
00.5×2×4×6.6×
Christian C. Dibble · 1×
Citations per year

Countries citing papers authored by Peter Frommolt

Since Specialization
Citations

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

Fields of papers citing papers by Peter Frommolt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PTEN Loss Contributes to Erlotinib Resistance in EGFR-Mutant Lung Cancer by Activation of Akt and EGFR
Hit paper breakdown →
2009436
2 2016238
3 2009206
4 2012202
5 2012199
6 2012186
7 2017175
8 2012140
9 2018115
10 2014107
11 2008100
12 201398
13 201190
14 201484
15 201884
16 201683
17 201983
18 200780
19 201279
20 200977

About Peter Frommolt

Peter Frommolt is a scholar working on Aging, Genetics, Cancer Research, Sensory Systems and Endocrine and Autonomic Systems, having authored 63 papers that have together received 4.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Lung Cancer Treatments and Mutations (2 papers), Antifungal resistance and susceptibility (2 papers), Regulation of Appetite and Obesity (2 papers), Glioma Diagnosis and Treatment (2 papers), BRCA gene mutations in cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Aging (70 citations), Endocrine and Autonomic Systems (151 citations), Genetics (146 citations), Sensory Systems (70 citations) and Molecular Biology (751 citations). Peter Frommolt has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Peter Nürnberg, Miloš Nikolić, Janine Altmüller, Álvaro Rada-Iglesias, Prerana Wagle, Patricia Respuela, Hölger Thiele, Wilfred F. J. van IJcken, Petros Kolovos and Mirka Uhlířová. Their work appears in journals such as BMC Genomics, The American Journal of Human Genetics, Nature Communications, Cell stem cell and BMC Bioinformatics.

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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