J. Hails
Impact in
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- Antibiotic Use and Resistance
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Infection Control in Healthcare
- Clostridium difficile and Clostridium perfringens research
Papers in
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- Antimicrobial Resistance in Staphylococcus 2
- Genetics 2
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Felicia Kwaku (4 shared papers)B. Cookson (2 shared papers)Ben S. Cooper (2 shared papers)Samantha Hayman (2 shared papers)Mervyn Singer (3 shared papers)Steve Shaw (1 shared paper)Geoffrey Bellingan (1 shared paper)Jorge Cepeda (1 shared paper)
- Journals
- Transplant International (4 papers)The Lancet (2 papers)Intensive Care Medicine (1 paper)UCL Discovery (University College London) (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
J. Hails
8 papers receiving 348 citations
Peers
Comparison fields: 5 of 57
- Applied Microbiology and Biotechnology 37
- Infectious Diseases 217
- Clinical Biochemistry 74
- Critical Care and Intensive Care Medicine 41
- Transplantation 13
Countries citing papers authored by J. Hails
This map shows the geographic impact of J. Hails'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 J. Hails with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Hails more than expected).
Fields of papers citing papers by J. Hails
This network shows the impact of papers produced by J. Hails. 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 J. Hails. The network helps show where J. Hails may publish in the future.
Co-authors
The 24 scholars most cited alongside J. Hails, 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 | 2005 | 224 | |
| 2 | 2005 | 96 | |
| 3 | 2003 | 23 | |
| 4 | 1998 | 7 | |
| 5 | 1998 | 6 | |
| 6 | 1998 | 3 | |
| 7 | 1998 | 3 | |
| 8 | Large variation in MRSA policies, procedures, and prevalence in English intensive care units. A questionnaire analysis | 2002 | 1 |
About J. Hails
J. Hails is a scholar working on Infectious Diseases, Genetics, Transplantation, Hematology and Immunology, having authored 8 papers that have together received 363 indexed citations. Recurring topics across this work include Neurological Complications and Syndromes (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Blood groups and transfusion (2 papers), Complement system in diseases (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Pharmacological Effects and Toxicity Studies (1 paper) and Nosocomial Infections in ICU (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (37 citations), Infectious Diseases (217 citations), Clinical Biochemistry (74 citations), Critical Care and Intensive Care Medicine (41 citations) and Transplantation (13 citations). J. Hails has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Felicia Kwaku, B. Cookson, Ben S. Cooper, Samantha Hayman, Mervyn Singer, Steve Shaw, Geoffrey Bellingan, Jorge Cepeda, Tony Whitehouse and Karen Jones. Their work appears in journals such as Transplant International, The Lancet, Intensive Care Medicine and UCL Discovery (University College London).
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.