Paula Do
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Biotechnology top 10%
- Listeria monocytogenes in Food Safety
Papers in
-
- Antimicrobial Resistance in Staphylococcus 11
- Viral gastroenteritis research and epidemiology 3
- Clostridium difficile and Clostridium perfringens research 3
- Co-authors
- Reuven Rasooly (28 shared papers)Mendel Friedman (4 shared papers)Bradley Hernlem (15 shared papers)Philip R. Henika (1 shared paper)Emmanouil Apostolidis (3 shared papers)Carol E. Levin (1 shared paper)Stephen M. Griffey (1 shared paper)José G. Vilches-Moure (1 shared paper)
- Journals
- Toxins (5 papers)Journal of Agricultural and Food Chemistry (3 papers)Journal of Food Science (3 papers)International Journal of Food Microbiology (2 papers)Antibiotics (2 papers)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Paula Do
29 papers receiving 362 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 70
- Biotechnology 64
- Food Science 104
- Infectious Diseases 90
- Biochemistry 26
Countries citing papers authored by Paula Do
This map shows the geographic impact of Paula Do'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 Paula Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Do more than expected).
Fields of papers citing papers by Paula Do
This network shows the impact of papers produced by Paula Do. 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 Paula Do. The network helps show where Paula Do may publish in the future.
Co-authors
The 20 scholars most cited alongside Paula Do, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 42 | |
| 2 | 2010 | 39 | |
| 3 | 2011 | 38 | |
| 4 | 2009 | 37 | |
| 5 | 2009 | 27 | |
| 6 | 2008 | 27 | |
| 7 | 2010 | 22 | |
| 8 | 2019 | 19 | |
| 9 | 2010 | 19 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2010 | 11 | |
| 13 | 2011 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2016 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2017 | 5 |
About Paula Do
Paula Do is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Biotechnology and Endocrinology, having authored 29 papers that have together received 373 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Escherichia coli research studies (6 papers), T-cell and B-cell Immunology (4 papers), Bacterial Genetics and Biotechnology (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Microbial Inactivation Methods (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Endocrinology (70 citations), Biotechnology (64 citations), Food Science (104 citations), Infectious Diseases (90 citations) and Biochemistry (26 citations). Paula Do has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Reuven Rasooly, Mendel Friedman, Bradley Hernlem, Philip R. Henika, Emmanouil Apostolidis, Carol E. Levin, Stephen M. Griffey, José G. Vilches-Moure, L.H. Stanker and John M. Carter. Their work appears in journals such as Toxins, Journal of Agricultural and Food Chemistry, Journal of Food Science, International Journal of Food Microbiology and Antibiotics.
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.