David Trono

558 citations
20 papers · 454 · h-index 14

Impact in

Papers in

    • CRISPR and Genetic Engineering 7
    • Genomics and Chromatin Dynamics 5
    • DNA Repair Mechanisms 4
    • Advanced biosensing and bioanalysis techniques 2
    • Genomics and Phylogenetic Studies 2
    • Animal Genetics and Reproduction 4

David Trono

20 papers receiving 447 citations

Peers

David Trono
Comparison fields: 5 of 67
  • Dermatology 70
  • Aging 12
  • Cell Biology 106
  • Cancer Research 70
  • Molecular Biology 259
Replace Karen Fitch with:
Karen Fitch United States
Ray Thweatt United States
Luis Della Coletta United States
Giovanna M. Collu United States
E. M. R. Puggioni Italy
Mayra Furlan-Magaril Mexico
Aurélie Dupuy France
Sylvain Martineau France
Pascale Gubler Switzerland
Stuart A. Holmes United States
David Trono relative to Karen Fitch United States Karen Fitch's profile →
Citations per field
00.5×1.5×
Karen Fitch · 1×
Citations per year

Countries citing papers authored by David Trono

Since Specialization
Citations

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

Fields of papers citing papers by David Trono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 198980
2 201059
3
Sequential development of aneuploidy, keratin modifications, and gamma-glutamyltransferase expression in mouse skin papillomas.
198847
4 200131
5 199730
6 199329
7 200122
8 200721
9 200120
10 198620
11 200616
12 200414
13 200414
14 201714
15 200110
16 20087
17 20076
18 20086
19 20105
20 19953

About David Trono

David Trono is a scholar working on Molecular Biology, Genetics, Cell Biology, Immunology and Plant Science, having authored 20 papers that have together received 454 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (4 papers), Animal Genetics and Reproduction (4 papers), Aquaculture disease management and microbiota (3 papers), Chromosomal and Genetic Variations (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Dermatology (70 citations), Aging (12 citations), Cell Biology (106 citations), Cancer Research (70 citations) and Molecular Biology (259 citations). David Trono has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Rodney S. Nairn, C. Marcelo Aldaz, Thomas J. Slaga, Claudio J. Conti, Fernando Larcher, Irma Gimenez‐Conti, David L. Mitchell, Lakshmi Paniker, Andrew P. Butler and Steven Kazianis. Their work appears in journals such as Molecular Carcinogenesis, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, Marine Biotechnology, Endocrinology and Photochemistry and Photobiology.

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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