Nancy J. Phillips
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Endocrinology top 2%
Papers in
-
- Glycosylation and Glycoproteins Research 9
- RNA modifications and cancer 5
- Genetics 13
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Bradford W. Gibson (19 shared papers)Michael A. Apicella (16 shared papers)Robert Steele (7 shared papers)J. McLeod Griffiss (4 shared papers)Ratna B. Ray (5 shared papers)Károly Tóth (2 shared papers)Constance M. John (9 shared papers)Birgit Schilling (3 shared papers)
- Journals
- Biochemistry (6 papers)Infection and Immunity (5 papers)Journal of Biological Chemistry (4 papers)Theriogenology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Nancy J. Phillips
71 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 120
- Microbiology 400
- Endocrinology 178
- Molecular Medicine 132
- Cancer Research 224
- Molecular Biology 1.1k
Countries citing papers authored by Nancy J. Phillips
This map shows the geographic impact of Nancy J. Phillips'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 Nancy J. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy J. Phillips more than expected).
Fields of papers citing papers by Nancy J. Phillips
This network shows the impact of papers produced by Nancy J. Phillips. 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 Nancy J. Phillips. The network helps show where Nancy J. Phillips may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy J. Phillips, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 167 | |
| 2 | 2004 | 119 | |
| 3 | 1992 | 114 | |
| 4 | 2017 | 108 | |
| 5 | 2019 | 107 | |
| 6 | 2008 | 98 | |
| 7 | 2016 | 97 | |
| 8 | 2002 | 94 | |
| 9 | 2002 | 89 | |
| 10 | 1993 | 79 | |
| 11 | 1990 | 76 | |
| 12 | 1993 | 72 | |
| 13 | 2011 | 61 | |
| 14 | 2012 | 57 | |
| 15 | 2007 | 51 | |
| 16 | 1998 | 51 | |
| 17 | 2002 | 50 | |
| 18 | 1994 | 48 | |
| 19 | 2018 | 46 | |
| 20 | 1991 | 46 |
About Nancy J. Phillips
Nancy J. Phillips is a scholar working on Molecular Biology, Genetics, Microbiology, Immunology and Organic Chemistry, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (10 papers), Glycosylation and Glycoproteins Research (9 papers), Carbohydrate Chemistry and Synthesis (8 papers), Immune Response and Inflammation (6 papers), RNA modifications and cancer (5 papers), Escherichia coli research studies (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Reproductive Physiology in Livestock (4 papers). The work is most often cited by research in Microbiology (400 citations), Endocrinology (178 citations), Molecular Medicine (132 citations), Cancer Research (224 citations) and Molecular Biology (1.1k citations). Nancy J. Phillips has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Bradford W. Gibson, Michael A. Apicella, Robert Steele, J. McLeod Griffiss, Ratna B. Ray, Károly Tóth, Constance M. John, Birgit Schilling, Peng Ru and Molly K. McLendon. Their work appears in journals such as Biochemistry, Infection and Immunity, Journal of Biological Chemistry, Theriogenology and Proceedings of the National Academy of Sciences.
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.