Laura E. Williams
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Genomics and Phylogenetic Studies 9
- Ecology 7
- Bacteriophages and microbial interactions 5
- Marine animal studies overview 2
- Co-authors
- Jennifer J. Wernegreen (3 shared papers)Levi Pierce (1 shared paper)Yuh‐Hwa Wang (1 shared paper)Anne O. Summers (2 shared papers)Sushim K. Gupta (1 shared paper)Charlene R. Jackson (2 shared papers)Thomas Jové (1 shared paper)Jamie Wasilenko (1 shared paper)
- Journals
- BMC Genomics (3 papers)PeerJ (2 papers)mSphere (2 papers)Applied and Environmental Microbiology (2 papers)Ornithological Applications (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Laura E. Williams
24 papers receiving 526 citations
Peers
Comparison fields: 5 of 68
- Molecular Medicine 109
- Endocrinology 106
- Insect Science 81
- Genetics 166
- Food Science 95
Countries citing papers authored by Laura E. Williams
This map shows the geographic impact of Laura E. Williams'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 Laura E. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura E. Williams more than expected).
Fields of papers citing papers by Laura E. Williams
This network shows the impact of papers produced by Laura E. Williams. 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 Laura E. Williams. The network helps show where Laura E. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura E. Williams, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 113 | |
| 2 | 2009 | 85 | |
| 3 | 2012 | 44 | |
| 4 | 2015 | 40 | |
| 5 | 2006 | 39 | |
| 6 | 2014 | 37 | |
| 7 | 2013 | 36 | |
| 8 | 2010 | 34 | |
| 9 | 2012 | 19 | |
| 10 | 2019 | 17 | |
| 11 | 2004 | 14 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2004 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2020 | 3 |
About Laura E. Williams
Laura E. Williams is a scholar working on Molecular Biology, Ecology, Genetics, Endocrinology and Plant Science, having authored 26 papers that have together received 538 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (5 papers), Vibrio bacteria research studies (4 papers), Antibiotic Resistance in Bacteria (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Insect symbiosis and bacterial influences (3 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Molecular Medicine (109 citations), Endocrinology (106 citations), Insect Science (81 citations), Genetics (166 citations) and Food Science (95 citations). Laura E. Williams has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Jennifer J. Wernegreen, Levi Pierce, Yuh‐Hwa Wang, Anne O. Summers, Sushim K. Gupta, Charlene R. Jackson, Thomas Jové, Jamie Wasilenko, Lari M. Hiott and John B. Barrett. Their work appears in journals such as BMC Genomics, PeerJ, mSphere, Applied and Environmental Microbiology and Ornithological Applications.
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.