David C. Trudgian
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
- Spectroscopy 10
- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 7
- Co-authors
- Benjamin ThomasHamid MirzaeiOreste AcutoBenedikt M. KesslerVincent GeogheganEdward HutchinsonErvin FodorRomán Fischer
- Journals
- Molecular & Cellular Proteomics (5 papers)Nature Communications (2 papers)PROTEOMICS (2 papers)PLoS Pathogens (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
David C. Trudgian
29 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 111
- Endocrinology 232
- Molecular Biology 1.3k
- Immunology 394
- Spectroscopy 274
- Molecular Medicine 81
Countries citing papers authored by David C. Trudgian
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 28 | |
| 2 | 2015 | 114 | |
| 3 | 2014 | 215 | |
| 4 | 2014 | 86 | |
| 5 | 2014 | 13 | |
| 6 | 2014 | 145 | |
| 7 | 2013 | 23 | |
| 8 | 2013 | 26 | |
| 9 | 2013 | 132 | |
| 10 | 2013 | 196 | |
| 11 | Discovery of candidate serum proteomic and metabolomic biomarkers in ankylosing spondylitis | 2012 | 2 |
| 12 | 2012 | 122 | |
| 13 | 2012 | 108 | |
| 14 | 2012 | 63 | |
| 15 | 2011 | 110 | |
| 16 | 2011 | 99 | |
| 17 | 2011 | 20 | |
| 18 | 2011 | 33 | |
| 19 | 2010 | 67 | |
| 20 | 2006 | 23 |
About David C. Trudgian
David C. Trudgian is a scholar working on Spectroscopy, Endocrinology, Virology, Molecular Biology and Molecular Medicine, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (7 papers), Glycosylation and Glycoproteins Research (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Influenza Virus Research Studies (3 papers), Spondyloarthritis Studies and Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Endocrinology (232 citations), Molecular Biology (1.3k citations), Immunology (394 citations), Spectroscopy (274 citations) and Molecular Medicine (81 citations). David C. Trudgian has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Benjamin Thomas, Hamid Mirzaei, Oreste Acuto, Benedikt M. Kessler, Vincent Geoghegan, Edward Hutchinson, Ervin Fodor, Román Fischer, Xiao‐Feng Guo and Philip D. Charles. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Communications, PROTEOMICS, PLoS Pathogens and Journal of Biological Chemistry.
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.