Janet E. Deane
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
-
- Glycosylation and Glycoproteins Research 9
- Physiology 14
- Lysosomal Storage Disorders Research 14
- Co-authors
- Susan M. Lea (16 shared papers)Steven Johnson (15 shared papers)Pietro Roversi (9 shared papers)Stephen C. Graham (16 shared papers)Ariel Blocker (6 shared papers)Christoph M. Tang (3 shared papers)Patrizia Abrusci (2 shared papers)Chris H. Hill (6 shared papers)
- Journals
- Nature Communications (6 papers)Proceedings of the National Academy of Sciences (6 papers)eLife (6 papers)Journal of Biological Chemistry (5 papers)PLoS Biology (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Janet E. Deane
51 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 105
- Endocrinology 552
- Microbiology 189
- Genetics 652
- Molecular Medicine 113
- Immunology 415
Countries citing papers authored by Janet E. Deane
This map shows the geographic impact of Janet E. Deane'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 Janet E. Deane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet E. Deane more than expected).
Fields of papers citing papers by Janet E. Deane
This network shows the impact of papers produced by Janet E. Deane. 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 Janet E. Deane. The network helps show where Janet E. Deane may publish in the future.
Co-authors
The 25 scholars most cited alongside Janet E. Deane, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 264 | |
| 2 | 2012 | 184 | |
| 3 | 2006 | 145 | |
| 4 | 2006 | 128 | |
| 5 | 2008 | 120 | |
| 6 | 2011 | 83 | |
| 7 | 2009 | 82 | |
| 8 | 2004 | 78 | |
| 9 | 2017 | 77 | |
| 10 | 2015 | 74 | |
| 11 | 2013 | 71 | |
| 12 | 2015 | 63 | |
| 13 | 2003 | 60 | |
| 14 | 2017 | 57 | |
| 15 | 2008 | 55 | |
| 16 | 2015 | 46 | |
| 17 | 2013 | 45 | |
| 18 | 2013 | 42 | |
| 19 | 2018 | 39 | |
| 20 | 2018 | 38 |
About Janet E. Deane
Janet E. Deane is a scholar working on Molecular Biology, Physiology, Epidemiology, Genetics and Endocrinology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Escherichia coli research studies (12 papers), Bacterial Genetics and Biotechnology (11 papers), Glycosylation and Glycoproteins Research (9 papers), Cellular transport and secretion (9 papers), Carbohydrate Chemistry and Synthesis (7 papers), Galectins and Cancer Biology (5 papers) and Trypanosoma species research and implications (5 papers). The work is most often cited by research in Endocrinology (552 citations), Microbiology (189 citations), Genetics (652 citations), Molecular Medicine (113 citations) and Immunology (415 citations). Janet E. Deane has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Susan M. Lea, Steven Johnson, Pietro Roversi, Stephen C. Graham, Ariel Blocker, Christoph M. Tang, Patrizia Abrusci, Chris H. Hill, Randy J. Read and Clemens Hermann. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, eLife, Journal of Biological Chemistry and PLoS Biology.
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.