Peter K. Vogt

33.9k citations
382 papers · 27.3k indexed · 8 hit papers · h-index 87

Peter K. Vogt

375 papers receiving 25.1k citations

Hit Papers

Phosphatidylinositol 3-kinase m...64219692026198820074008001.2k

Peers

Peter K. Vogt
Comparison fields: 5 of 170
  • Animal Science and Zoology 3.9k
  • Molecular Biology 17.7k
  • Genetics 5.8k
  • Virology 889
  • Cancer Research 2.8k
Replace Hidesaburô Hanafusa with:
Hidesaburô Hanafusa United States
George J. Todaro United States
Stuart A. Aaronson United States
J. Michael Bishop United States
John C. Bell Canada
Stephen J. Russell United States
Hartmut Beug Austria
E.M. Southern United Kingdom
A.J. van der Eb Netherlands
Ronald A. Laskey United Kingdom
Peter K. Vogt relative to Hidesaburô Hanafusa United States Hidesaburô Hanafusa's profile →
Citations per field
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Hidesaburô Hanafusa · 1×
Citations per year

Countries citing papers authored by Peter K. Vogt

Since Specialization
Citations

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

Fields of papers citing papers by Peter K. Vogt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 202211
3 20211
4 202154
5 202125
6 202031
7 2014112
8 200958
9 200833
10 20083
11 2006337
12 2006212
13 20064
14
Phosphatidylinositol 3-kinase mutations identified in human cancer are oncogenicbreakdown →
2005642
15 200023
16 200077
17 199224
18 1990300
19 198940
20
Structures of unintegrated and integrated forms of the deoxyribonucleic acid of ribonucleic acid tumour viruses.
19790

About Peter K. Vogt

Peter K. Vogt is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology, having authored 382 papers that have together received 27.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (110 papers), Virus-based gene therapy research (88 papers), Plant Virus Research Studies (69 papers), PI3K/AKT/mTOR signaling in cancer (50 papers), Herpesvirus Infections and Treatments (38 papers), Viral Infectious Diseases and Gene Expression in Insects (34 papers), Cancer-related Molecular Pathways (24 papers) and Ubiquitin and proteasome pathways (21 papers). The work is most often cited by research in Animal Science and Zoology (3.9k citations), Molecular Biology (17.7k citations) and Genetics (5.8k citations). Peter K. Vogt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Timothy J. Bos, Andreas G. Bader, Sohye Kang, Masahiro Aoki, Peter Duesberg, J. Michael Bishop, Harold Varmus, Dirk Bohmann, Jonathan R. Hart and Bing‐Hua Jiang. Their work appears in journals such as Virology, Proceedings of the National Academy of Sciences, Current topics in microbiology and immunology, Oncogene and Journal of Virology.

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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