Steven J Read
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Infectious Diseases top 10%
- Infectious Encephalopathies and Encephalitis
Papers in
-
- Infectious Encephalopathies and Encephalitis 3
-
- Cytomegalovirus and herpesvirus research 3
- Herpesvirus Infections and Treatments 1
- Co-authors
- John B. Kurtz (3 shared papers)Charles R. M. Bangham (2 shared papers)Katie JM Jeffery (2 shared papers)Richard T Mayon-White (1 shared paper)Tim Peto (1 shared paper)Colin G. Fink (1 shared paper)Joanne L. Mitchell (1 shared paper)Charles R. Rizza (1 shared paper)
- Journals
- Journal of Clinical Microbiology (4 papers)The Lancet (3 papers)Journal of Clinical Pathology (2 papers)Molecular Pathology (2 papers)Journal of Clinical Immunology (1 paper)
- Partner nations
- United KingdomBrazil
In The Last Decade
Steven J Read
16 papers receiving 647 citations
Peers
Comparison fields: 5 of 38
- Hepatology 56
- Infectious Diseases 96
- Epidemiology 154
- Clinical Biochemistry 18
- Microbiology 14
Countries citing papers authored by Steven J Read
This map shows the geographic impact of Steven J Read'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 Steven J Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J Read more than expected).
Fields of papers citing papers by Steven J Read
This network shows the impact of papers produced by Steven J Read. 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 Steven J Read. The network helps show where Steven J Read may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven J Read, 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 | 1999 | 165 | |
| 2 | 1997 | 125 | |
| 3 | 1997 | 125 | |
| 4 | 2001 | 66 | |
| 5 | 1993 | 63 | |
| 6 | 2001 | 62 | |
| 7 | 2000 | 22 | |
| 8 | 2000 | 20 | |
| 9 | 2005 | 20 | |
| 10 | 1996 | 11 | |
| 11 | 1992 | 10 | |
| 12 | 1995 | 10 | |
| 13 | 1992 | 9 | |
| 14 | 1990 | 6 | |
| 15 | 1992 | 4 | |
| 16 | The use of reverse transcriptase-polymerase chain reaction to investigate environmental samples for the presence of enteroviruses. | 1998 | 1 |
About Steven J Read
Steven J Read is a scholar working on Infectious Diseases, Epidemiology, Virology, Hepatology and Molecular Biology, having authored 16 papers that have together received 719 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (3 papers), Infectious Encephalopathies and Encephalitis (3 papers), Molecular Biology Techniques and Applications (1 paper), HIV Research and Treatment (1 paper), Herpesvirus Infections and Treatments (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Hepatology (56 citations), Infectious Diseases (96 citations), Epidemiology (154 citations), Clinical Biochemistry (18 citations) and Microbiology (14 citations). Steven J Read has collaborated with scholars based in United Kingdom and Brazil. Frequent co-authors include John B. Kurtz, Charles R. M. Bangham, Katie JM Jeffery, Richard T Mayon-White, Tim Peto, Colin G. Fink, Joanne L. Mitchell, Charles R. Rizza, NicholasF. Hallam and Roger Eglin. Their work appears in journals such as Journal of Clinical Microbiology, The Lancet, Journal of Clinical Pathology, Molecular Pathology and Journal of Clinical Immunology.
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.