David C. Trudgian

3.2k citations
31 papers · 2.1k · h-index 22

Impact in

    • Vibrio bacteria research studies
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation

Papers in

    • Advanced Proteomics Techniques and Applications 12
    • Mass Spectrometry Techniques and Applications 7
    • Glycosylation and Glycoproteins Research 5
    • Metabolomics and Mass Spectrometry Studies 4
    • Machine Learning in Bioinformatics 3

David C. Trudgian

30 papers receiving 2.1k citations

Peers

David C. Trudgian
Comparison fields: 5 of 103
  • Endocrinology 222
  • Molecular Biology 1.3k
  • Immunology 368
  • Spectroscopy 279
  • Molecular Medicine 74
Replace Len C. Packman with:
Len C. Packman United Kingdom
Akeo Shinkai Japan
Maria Hernandez-Valladares Norway
Miro Venturi Germany
Jung Hwa Kim South Korea
Elena S. Bochkareva Israel
Constantin N. Takacs United States
Gregory A. Wasney Canada
Nestor Solis Canada
Hans‐Joachim Fritz Germany
David C. Trudgian relative to Len C. Packman United Kingdom Len C. Packman's profile →
Citations per field
00.5×2×3.3×
Len C. Packman · 1×
Citations per year

Countries citing papers authored by David C. Trudgian

Since Specialization
Citations

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

Fields of papers citing papers by David C. Trudgian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014220
2 2013207
3 2014149
4 2013137
5 2012123
6 2015122
7 2012120
8 2012115
9 2011115
10 2011102
11 201488
12 201083
13 201578
14 201571
15 201071
16 201266
17 201242
18 201133
19 201729
20 201326

About David C. Trudgian

David C. Trudgian is a scholar working on Spectroscopy, Molecular Biology, Endocrinology, Virology and Rheumatology, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Mass Spectrometry Techniques and Applications (7 papers), Glycosylation and Glycoproteins Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Machine Learning in Bioinformatics (3 papers), Escherichia coli research studies (3 papers), Influenza Virus Research Studies (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Endocrinology (222 citations), Molecular Biology (1.3k citations), Immunology (368 citations), Spectroscopy (279 citations) and Molecular Medicine (74 citations). David C. Trudgian has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Benjamin Craig Thomas, Hamid Mirzaei, Oreste Acuto, Benedikt M. Kessler, Vincent Geoghegan, Edward C. Hutchinson, Ervin Fodor, Román Fischer, Xiao‐Feng Guo and Philip D. Charles. Their work appears in journals such as Molecular & Cellular Proteomics, PLoS Pathogens, Nature Communications, Proceedings of the National Academy of Sciences and PROTEOMICS.

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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