Shane C. Dillon
Impact in
- Endocrinology top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- Genomics and Chromatin Dynamics 5
- RNA and protein synthesis mechanisms 4
- CRISPR and Genetic Engineering 2
- Genetics 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Charles J. Dorman (6 shared papers)Raymond C. Trievel (1 shared paper)Xing Zhang (1 shared paper)Xiaodong Cheng (1 shared paper)Alex Bateman (1 shared paper)Karsten Hokamp (3 shared papers)Andrew D. S. Cameron (3 shared papers)David Vetrie (4 shared papers)
- Journals
- Molecular Microbiology (2 papers)PLoS ONE (2 papers)Genome Research (2 papers)Theoretical and Applied Genetics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- IrelandUnited KingdomSpain
In The Last Decade
Shane C. Dillon
15 papers receiving 1.7k citations
Shane C. Dillon's Hit Papers
Peers
Comparison fields: 5 of 100
- Endocrinology 123
- Genetics 588
- Molecular Medicine 103
- Molecular Biology 1.4k
- Ecology 285
Countries citing papers authored by Shane C. Dillon
This map shows the geographic impact of Shane C. Dillon'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 Shane C. Dillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane C. Dillon more than expected).
Fields of papers citing papers by Shane C. Dillon
This network shows the impact of papers produced by Shane C. Dillon. 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 Shane C. Dillon. The network helps show where Shane C. Dillon may publish in the future.
Co-authors
The 25 scholars most cited alongside Shane C. Dillon, 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 | Bacterial nucleoid-associated proteins, nucleoid structure and gene expression Hit paper breakdown → | 2010 | 662 |
| 2 | The SET-domain protein superfamily: protein lysine methyltransferases. Hit paper breakdown → | 2005 | 581 |
| 3 | 2004 | 142 | |
| 4 | 2010 | 73 | |
| 5 | 2009 | 70 | |
| 6 | 2012 | 64 | |
| 7 | 2010 | 54 | |
| 8 | 2006 | 32 | |
| 9 | 2013 | 23 | |
| 10 | 2015 | 17 | |
| 11 | 2010 | 17 | |
| 12 | 2022 | 13 | |
| 13 | 2017 | 7 | |
| 14 | 2025 | 2 | |
| 15 | Alternative Methods to Traditional Written Exam-Based Assessment | 2018 | 2 |
About Shane C. Dillon
Shane C. Dillon is a scholar working on Molecular Biology, Genetics, Ecology, Food Science and Molecular Medicine, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (4 papers), Bacteriophages and microbial interactions (3 papers), Salmonella and Campylobacter epidemiology (3 papers), CRISPR and Genetic Engineering (2 papers), T-cell and Retrovirus Studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Endocrinology (123 citations), Genetics (588 citations), Molecular Medicine (103 citations), Molecular Biology (1.4k citations) and Ecology (285 citations). Shane C. Dillon has collaborated with scholars based in Ireland, United Kingdom and Spain. Frequent co-authors include Charles J. Dorman, Raymond C. Trievel, Xing Zhang, Xiaodong Cheng, Alex Bateman, Karsten Hokamp, Andrew D. S. Cameron, David Vetrie, Alexander W. Bruce and Sacha Lucchini. Their work appears in journals such as Molecular Microbiology, PLoS ONE, Genome Research, Theoretical and Applied Genetics and BMC Bioinformatics.
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.