Rachel M. Exley
- Microbiology top 0.2%
- Bacterial Infections and Vaccines 31
- Endocrinology top 2%
- Escherichia coli research studies 5
- Molecular Medicine top 5%
- Epidemiology top 5%
- Pneumonia and Respiratory Infections 18
- Immunology top 10%
- Complement system in diseases 5
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- Bacterial Genetics and Biotechnology 15
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- Amoebic Infections and Treatments 7
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- Bacteriophages and microbial interactions 6
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- Neonatal and Maternal Infections 4
- Co-authors
- Christoph M. TangGuangyu LiuMuriel C. SchneiderRobert B. SimHarry SmithHannah ChanNicholas P. WestIan M. Feavers
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Rachel M. Exley
46 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Microbiology 937
- Endocrinology 284
- Molecular Medicine 115
- Epidemiology 709
- Immunology 424
Countries citing papers authored by Rachel M. Exley
This map shows the geographic impact of Rachel M. Exley'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 Rachel M. Exley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel M. Exley more than expected).
Fields of papers citing papers by Rachel M. Exley
This network shows the impact of papers produced by Rachel M. Exley. 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 Rachel M. Exley. The network helps show where Rachel M. Exley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel M. Exley, 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 | 2024 | 0 | |
| 2 | 2022 | 9 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 20 | |
| 5 | 2020 | 18 | |
| 6 | 2016 | 13 | |
| 7 | 2015 | 70 | |
| 8 | 2014 | 35 | |
| 9 | 2012 | 49 | |
| 10 | 2011 | 85 | |
| 11 | 2011 | 25 | |
| 12 | 2008 | 26 | |
| 13 | 2006 | 186 | |
| 14 | 2005 | 243 | |
| 15 | 2005 | 76 | |
| 16 | 2005 | 16 | |
| 17 | 2001 | 11 | |
| 18 | 2001 | 9 | |
| 19 | Monocyte plasminogen activator inhibitor 2 (PAI-2) inhibits u-PA-mediated fibrin clot lysis and is cross-linked to fibrin | 1999 | 1 |
| 20 | 1997 | 24 |
About Rachel M. Exley
Rachel M. Exley is a scholar working on Microbiology, Endocrinology and Epidemiology, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (31 papers), Pneumonia and Respiratory Infections (18 papers), Bacterial Genetics and Biotechnology (15 papers), Amoebic Infections and Treatments (7 papers), Bacteriophages and microbial interactions (6 papers), Complement system in diseases (5 papers), Escherichia coli research studies (5 papers) and Neonatal and Maternal Infections (4 papers). The work is most often cited by research in Microbiology (937 citations), Endocrinology (284 citations) and Molecular Medicine (115 citations). Rachel M. Exley has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Christoph M. Tang, Guangyu Liu, Muriel C. Schneider, Robert B. Sim, Harry Smith, Hannah Chan, Nicholas P. West, Ian M. Feavers, Yu-Hoi Kang and Ray Borrow. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.