Peter Lichter

11.1k citations
17 papers · 783 · h-index 15

Impact in

    • Cancer Genomics and Diagnostics
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • DNA Repair Mechanisms

Papers in

    • RNA and protein synthesis mechanisms 3
    • Genomics and Chromatin Dynamics 3
    • RNA Research and Splicing 2
    • Advanced biosensing and bioanalysis techniques 2
    • Genomic variations and chromosomal abnormalities 5
    • Chronic Lymphocytic Leukemia Research 2

Peter Lichter

17 papers receiving 759 citations

Peers

Peter Lichter
Comparison fields: 5 of 79
  • Cancer Research 130
  • Molecular Biology 492
  • Genetics 188
  • Genetics 66
  • Oncology 146
Replace Ta-Jen Liu with:
Ta-Jen Liu United States
Peter C. Verlander United States
Seetha Srinivasan United States
Julian Schardt Switzerland
Anke Schwendel Germany
J C Pena United States
Elena Savelieva United States
Emanuela Chiarella Italy
P. Crotty Ireland
Sylvie Thuault France
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Citations per field
00.5×1.5×
Ta-Jen Liu · 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

17 of 17 papers shown
#Work
1 1998125
2 199883
3 200076
4 199671
5 199768
6 200548
7 199745
8 199440
9 199937
10 200037
11 199937
12 199431
13 199931
14 199725
15 200022
16 19906
17 20011

About Peter Lichter

Peter Lichter is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Immunology and Genetics, having authored 17 papers that have together received 783 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Tumors and Oncological Cases (2 papers), RNA Research and Splicing (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (130 citations), Molecular Biology (492 citations), Genetics (188 citations), Genetics (66 citations) and Oncology (146 citations). Peter Lichter has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ruthild G. Weber, Stefan Joos, Joanna M. Bridger, Ian R. Kill, Antoaneta Mincheva, Klaus K. Wilgenbus, Torsten Pietsch, Dietrich von Schweinitz, Martin Bentz and I. A. Born. Their work appears in journals such as Genomics, American Journal Of Pathology, Experimental Cell Research, Journal of Biological Chemistry and Genes Chromosomes and Cancer.

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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