Inez Brownlee
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Parasitology top 5%
- Toxoplasma gondii Research Studies
Papers in
-
- Escherichia coli research studies 4
- Vibrio bacteria research studies 1
-
- Viral gastroenteritis research and epidemiology 1
- Clostridium difficile and Clostridium perfringens research 1
- Co-authors
- Jack S. Remington (3 shared papers)Michael J. Miller (2 shared papers)H. J. Sears (2 shared papers)Richard A. Cash (2 shared papers)Norbert Hirschhorn (2 shared papers)R. Bradley Sack (2 shared papers)William E. Woodward (2 shared papers)David A. Sack (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)New England Journal of Medicine (1 paper)American Journal of Epidemiology (1 paper)PEDIATRICS (1 paper)Experimental Biology and Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Inez Brownlee
7 papers receiving 446 citations
Peers
Comparison fields: 5 of 67
- Endocrinology 195
- Parasitology 189
- Molecular Medicine 39
- Microbiology 43
- Infectious Diseases 118
Countries citing papers authored by Inez Brownlee
This map shows the geographic impact of Inez Brownlee'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 Inez Brownlee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inez Brownlee more than expected).
Fields of papers citing papers by Inez Brownlee
This network shows the impact of papers produced by Inez Brownlee. 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 Inez Brownlee. The network helps show where Inez Brownlee may publish in the future.
Co-authors
The 11 scholars most cited alongside Inez Brownlee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 119 | |
| 2 | IgM antibodies in acute toxoplasmosis. II. Prevalence and significance in acquired cases. | 1968 | 114 |
| 3 | 1968 | 99 | |
| 4 | 1952 | 99 | |
| 5 | 1956 | 74 | |
| 6 | 1966 | 55 | |
| 7 | 1974 | 22 |
About Inez Brownlee
Inez Brownlee is a scholar working on Endocrinology, Infectious Diseases, Parasitology, Molecular Biology and Epidemiology, having authored 7 papers that have together received 582 indexed citations. Recurring topics across this work include Escherichia coli research studies (4 papers), Toxoplasma gondii Research Studies (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Gut microbiota and health (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Herpesvirus Infections and Treatments (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Endocrinology (195 citations), Parasitology (189 citations), Molecular Medicine (39 citations), Microbiology (43 citations) and Infectious Diseases (118 citations). Inez Brownlee has collaborated with scholars based in United States. Frequent co-authors include Jack S. Remington, Michael J. Miller, H. J. Sears, Richard A. Cash, Norbert Hirschhorn, R. Bradley Sack, William E. Woodward, David A. Sack, T. C. Merigan and Lois K. Evans. Their work appears in journals such as Journal of Bacteriology, New England Journal of Medicine, American Journal of Epidemiology, PEDIATRICS and Experimental Biology and Medicine.
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.