Peter Lichter

98.2k citations
609 papers · 77.2k · 36 hit papers · h-index 129

Impact in

  • Genetics top 0.01%
    • Glioma Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
    • Genomic variations and chromosomal abnormalities
  • Cancer Research top 0.05%
    • Cancer Genomics and Diagnostics

Papers in

    • Glioma Diagnosis and Treatment 122
    • Chronic Lymphocytic Leukemia Research 90
    • Genomic variations and chromosomal abnormalities 88
    • Cancer Genomics and Diagnostics 42

Peter Lichter

601 papers receiving 75.3k citations

Peter Lichter's Hit Papers

Pan-cancer analysis of whole genomes 2020 · 2.2k citations
2.2k0+4+8Years since publication5001k1.5k2k

Peers

Peter Lichter
Comparison fields: 5 of 186
  • Genetics 27.6k
  • Cancer Research 9.7k
  • Pathology and Forensic Medicine 4.9k
  • Genetics 8.3k
  • Molecular Biology 18k
Replace Joe W. Gray with:
Joe W. Gray United States
Stefan M. Pfister Germany
Darell D. Bigner United States
Andreas von Deimling Germany
Erwin G. Van Meir United States
Roger E. McLendon United States
Marcel Kool Germany
Jill S. Barnholtz‐Sloan United States
Wendy Winckler United States
Jonathan G. Seidman United States
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Citations per field
00.5×2×3.2×
Joe W. Gray · 1×
Citations per year

Countries citing papers authored by Peter Lichter

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lichter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 609 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genomic Aberrations and Survival in Chronic Lymphocytic Leukemia
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20002710
2
The repertoire of mutational signatures in human cancer
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20202401
3
DNA methylation-based classification of central nervous system tumours
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20182219
4
Pan-cancer analysis of whole genomes
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20202169
5
Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma
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20122087
6
International network of cancer genome projects
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20101844
7
Hotspot Mutations in H3F3A and IDH1 Define Distinct Epigenetic and Biological Subgroups of Glioblastoma
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20121522
8
Molecular subgroups of medulloblastoma: the current consensus
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20111493
9
The landscape of genomic alterations across childhood cancers
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20181176
10
High-Resolution Mapping of Human Chromosome 11 by in Situ Hybridization with Cosmid Clones
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19901171
11
Resistance Mechanisms for the Bruton's Tyrosine Kinase Inhibitor Ibrutinib
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20141069
12
Delineation of individual human chromosomes in metaphase and interphase cells by in situ suppression hybridization using recombinant DNA libraries
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19881001
13
Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups
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2015915
14
The whole-genome landscape of medulloblastoma subtypes
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2017852
15
K27M mutation in histone H3.3 defines clinically and biologically distinct subgroups of pediatric diffuse intrinsic pontine gliomas
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2012816
16
Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas
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2012808
17
A Biologic Definition of Burkitt's Lymphoma from Transcriptional and Genomic Profiling
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2006788
18
Matrix-based comparative genomic hybridization: Biochips to screen for genomic imbalances
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1997750
19
New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs
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2016728
20
Dissecting the genomic complexity underlying medulloblastoma
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2012705

About Peter Lichter

Peter Lichter is a scholar working on Genetics, Cancer Research, Genetics, Pathology and Forensic Medicine and Molecular Biology, having authored 609 papers that have together received 77.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (122 papers), Chronic Lymphocytic Leukemia Research (90 papers), Genomic variations and chromosomal abnormalities (88 papers), Cancer Genomics and Diagnostics (42 papers), Lymphoma Diagnosis and Treatment (42 papers), Genomics and Chromatin Dynamics (32 papers), Acute Myeloid Leukemia Research (23 papers) and Nuclear Structure and Function (17 papers). The work is most often cited by research in Genetics (27.6k citations), Cancer Research (9.7k citations), Pathology and Forensic Medicine (4.9k citations), Genetics (8.3k citations) and Molecular Biology (18k citations). Peter Lichter has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Hartmut Doehner, Stephan Stilgenbauer, Axel Benner, Martin Bentz, Thomas John Cremer, David C. Ward, Stefan Joos, Stefan M. Pfister, Lars Bullinger and Alexander Kröber. Their work appears in journals such as Blood, International Journal of Cancer, Genes Chromosomes and Cancer, Acta Neuropathologica and Genomics.

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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