Peter Frommolt

62 papers receiving 4k 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 118
  • Aging 111
  • Endocrine and Autonomic Systems 192
  • Genetics 235
  • Cancer Research 273
  • Molecular Biology 1.3k
Replace Emilio Casanova with:
Emilio Casanova Austria
Tuong Huynh United States
Jonathan M. Graff United States
Edward Y. Chen United States
Robert Raymond Latek United States
Linda C. Samuelson United States
Gijs W van Haaften Netherlands
Vittorio Sartorelli United States
Julie C. Baker United States
Pedro Luis Herrera Merino Switzerland
Peter Frommolt relative to Emilio Casanova Austria Emilio Casanova's profile →
Citations per field
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Emilio Casanova · 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, Cancer Research, Genetics, Genetics and Molecular Biology, having authored 63 papers that have together received 4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Adipose Tissue and Metabolism (3 papers), Genomics and Rare Diseases (3 papers), Pluripotent Stem Cells Research (3 papers), Genomics and Phylogenetic Studies (3 papers), Developmental Biology and Gene Regulation (3 papers), Genomics and Chromatin Dynamics (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Aging (111 citations), Endocrine and Autonomic Systems (192 citations), Genetics (235 citations), Cancer Research (273 citations) and Molecular Biology (1.3k 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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