Brian D. Dill
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
Papers in
-
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 4
- Ecology 6
- Microbial Community Ecology and Physiology 5
- Co-authors
- Henrik Molina (10 shared papers)Matthias Trost (8 shared papers)Hani Goodarzi (2 shared papers)Steven Zhang (2 shared papers)Hoang C.B. Nguyen (2 shared papers)Nathan C. VerBerkmoes (6 shared papers)Sohail F. Tavazoie (1 shared paper)Robert L. Hettich (5 shared papers)
- Journals
- The EMBO Journal (3 papers)Nature Medicine (2 papers)Molecular & Cellular Proteomics (2 papers)Molecular Cell (2 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Brian D. Dill
31 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 121
- Endocrinology 146
- Molecular Biology 1.5k
- Cancer Research 278
- Environmental Chemistry 160
- Microbiology 82
Countries citing papers authored by Brian D. Dill
This map shows the geographic impact of Brian D. Dill'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 Brian D. Dill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Dill more than expected).
Fields of papers citing papers by Brian D. Dill
This network shows the impact of papers produced by Brian D. Dill. 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 Brian D. Dill. The network helps show where Brian D. Dill may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Dill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 320 | |
| 2 | 2017 | 227 | |
| 3 | 2010 | 223 | |
| 4 | 2018 | 166 | |
| 5 | 2015 | 135 | |
| 6 | 2018 | 126 | |
| 7 | 2015 | 88 | |
| 8 | 2015 | 85 | |
| 9 | 2016 | 83 | |
| 10 | 2014 | 82 | |
| 11 | 2019 | 82 | |
| 12 | 2019 | 74 | |
| 13 | 2012 | 69 | |
| 14 | 2014 | 68 | |
| 15 | 2012 | 65 | |
| 16 | 2012 | 64 | |
| 17 | 2019 | 60 | |
| 18 | 2011 | 55 | |
| 19 | 2016 | 53 | |
| 20 | 2015 | 42 |
About Brian D. Dill
Brian D. Dill is a scholar working on Molecular Biology, Ecology, Immunology, Cell Biology and Microbiology, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (5 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Immunotherapy and Immune Responses (4 papers), RNA modifications and cancer (4 papers), Reproductive tract infections research (4 papers), Ubiquitin and proteasome pathways (4 papers) and Phagocytosis and Immune Regulation (3 papers). The work is most often cited by research in Endocrinology (146 citations), Molecular Biology (1.5k citations), Cancer Research (278 citations), Environmental Chemistry (160 citations) and Microbiology (82 citations). Brian D. Dill has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Henrik Molina, Matthias Trost, Hani Goodarzi, Steven Zhang, Hoang C.B. Nguyen, Nathan C. VerBerkmoes, Sohail F. Tavazoie, Robert L. Hettich, Jillian F. Banfield and Anetta Härtlová. Their work appears in journals such as The EMBO Journal, Nature Medicine, Molecular & Cellular Proteomics, Molecular Cell and Applied and Environmental Microbiology.
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.