Peter W. Villalta

6.4k citations
142 papers · 5.0k indexed · 2 hit papers · h-index 40
Topics
Carcinogens and Genotoxicity Assessment (54 papers)DNA Repair Mechanisms (28 papers)Metabolomics and Mass Spectrometry Studies (15 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Peter W. Villalta

134 papers receiving 5.0k citations

Hit Papers

The human gut bacterial genotoxin colibactin alkylates DNA201920262021202320192021100200300400

Peers

Peter W. Villalta
Comparison fields: 5 of 142
  • Molecular Biology 3.1k
  • Cancer Research 1.5k
  • Health, Toxicology and Mutagenesis 714
  • Spectroscopy 548
  • Organic Chemistry 473
Replace Hikoya Hayatsu with:
Hikoya Hayatsu Japan
Peter C. Dedon United States
Pramod Upadhyaya United States
Natalia Tretyakova United States
Bernd Epe Germany
R. Colin Garner United Kingdom
P. David Josephy Canada
Ashis K. Basu United States
Libin Xu United States
Michael Linscheid Germany
Peter W. Villalta relative to Hikoya Hayatsu Japan Hikoya Hayatsu's profile →
Citations per field
00.5×8.9×
Hikoya Hayatsu · 1×
Citations per year

Countries citing papers authored by Peter W. Villalta

Since Specialization
Citations

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

Fields of papers citing papers by Peter W. Villalta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter W. Villalta

This figure shows the co-authorship network connecting the top 25 collaborators of Peter W. Villalta. A scholar is included among the top collaborators of Peter W. Villalta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter W. Villalta. Peter W. Villalta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 0
6 0
7 8
8 1
9 22
10
Small RNAs are modified with N-glycans and displayed on the surface of living cellsbreakdown →
369
11 7
12 19
13 27
14 7
15
The human gut bacterial genotoxin colibactin alkylates DNAbreakdown →
436
16 30
17 16
18 45
19 99
20 126

About Peter W. Villalta

Peter W. Villalta is a scholar working on Cancer Research, Spectroscopy and Endocrinology, having authored 142 papers that have together received 5.0k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (54 papers), DNA Repair Mechanisms (28 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). The work is most often cited by research in Cancer Research (1.5k citations), Health, Toxicology and Mutagenesis (714 citations) and Molecular Biology (3.1k citations). Peter W. Villalta has collaborated with scholars based in United States, China and India. Frequent co-authors include Stephen S. Hecht, Silvia Balbo, Mingyao Wang, Guang Cheng, Shana J. Sturla, Pramod Upadhyaya, J. Bradley Hochalter, Robert J. Turesky, Natalia Tretyakova and Edward J. McIntee. Their work appears in journals such as Science, Cell and Chemical Reviews.

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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