Julian I. Rood
- Infectious Diseases top 0.05%
- Clostridium difficile and Clostridium perfringens research 165
- Antimicrobial Resistance in Staphylococcus 67
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 31
- Clinical Biochemistry top 0.1%
- Bacterial Identification and Susceptibility Testing 23
- Microbiology top 0.2%
- Microbial infections and disease research 26
- Endocrinology top 0.5%
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- Bacterial Genetics and Biotechnology 49
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- Streptococcal Infections and Treatments 47
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- Toxin Mechanisms and Immunotoxins 31
- Co-authors
- Dena LyrasRobert J. MooreTrudi L. BannamVicki AdamsMilena M. AwadS T ColeAnthony L. KeyburnBruce A. McClane
- Journals
- Nature (1 paper)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Julian I. Rood
236 papers receiving 13.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Infectious Diseases 9.1k
- Molecular Medicine 1.1k
- Clinical Biochemistry 1.5k
- Microbiology 921
- Endocrinology 739
Countries citing papers authored by Julian I. Rood
This map shows the geographic impact of Julian I. Rood'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 Julian I. Rood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian I. Rood more than expected).
Fields of papers citing papers by Julian I. Rood
This network shows the impact of papers produced by Julian I. Rood. 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 Julian I. Rood. The network helps show where Julian I. Rood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julian I. Rood, 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 | 2019 | 14 | |
| 2 | 2019 | 3 | |
| 3 | 2018 | 18 | |
| 4 | 2017 | 32 | |
| 5 | 2017 | 32 | |
| 6 | 2014 | 60 | |
| 7 | 2013 | 44 | |
| 8 | 2011 | 45 | |
| 9 | 2011 | 117 | |
| 10 | 2011 | 65 | |
| 11 | 2010 | 13 | |
| 12 | 2009 | 22 | |
| 13 | 2006 | 12 | |
| 14 | 1998 | 33 | |
| 15 | 1998 | 12 | |
| 16 | The CLOSTRIDIA molecular biology and pathogenesis | 1997 | 205 |
| 17 | 1993 | 69 | |
| 18 | 1986 | 4 | |
| 19 | 1984 | 13 | |
| 20 | 1978 | 22 |
About Julian I. Rood
Julian I. Rood is a scholar working on Infectious Diseases, Molecular Medicine and Microbiology, having authored 239 papers that have together received 13.9k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (165 papers), Antimicrobial Resistance in Staphylococcus (67 papers), Bacterial Genetics and Biotechnology (49 papers), Streptococcal Infections and Treatments (47 papers), Antibiotic Resistance in Bacteria (31 papers), Toxin Mechanisms and Immunotoxins (31 papers), Microbial infections and disease research (26 papers) and Bacterial Identification and Susceptibility Testing (23 papers). The work is most often cited by research in Infectious Diseases (9.1k citations), Molecular Medicine (1.1k citations) and Clinical Biochemistry (1.5k citations). Julian I. Rood has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Dena Lyras, Robert J. Moore, Trudi L. Bannam, Vicki Adams, Milena M. Awad, S T Cole, Anthony L. Keyburn, Bruce A. McClane, Glen P. Carter and Francisco A. Uzal. Their work appears in journals such as Nature, New England Journal of Medicine 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.