A. J. Keller
Impact in
- Hepatology top 1%
- Hepatitis C virus research
-
- Blood donation and transfusion practices
Papers in
- Epidemiology 22
- Hepatitis B Virus Studies 14
- HIV, Drug Use, Sexual Risk 7
-
- Blood donation and transfusion practices 20
- Co-authors
- Clive R. Seed (27 shared papers)Philip Kiely (8 shared papers)S. J. Urbaniak (4 shared papers)T.J. Cobain (4 shared papers)Elina Kolho (1 shared paper)E. A. C. Follett (2 shared papers)R. Naukkarinen (1 shared paper)B. C. Dow (2 shared papers)
- Journals
- Transfusion (15 papers)Vox Sanguinis (9 papers)The Medical Journal of Australia (7 papers)British Journal of Haematology (3 papers)Blood (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
A. J. Keller
62 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 112
- Hepatology 751
- Management of Technology and Innovation 406
- Hematology 333
- Epidemiology 879
- Infectious Diseases 353
Countries citing papers authored by A. J. Keller
This map shows the geographic impact of A. J. Keller'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 A. J. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. J. Keller more than expected).
Fields of papers citing papers by A. J. Keller
This network shows the impact of papers produced by A. J. Keller. 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 A. J. Keller. The network helps show where A. J. Keller may publish in the future.
Co-authors
The 25 scholars most cited alongside A. J. Keller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 443 | |
| 2 | 1981 | 83 | |
| 3 | 2011 | 79 | |
| 4 | 1979 | 78 | |
| 5 | 1978 | 76 | |
| 6 | 2005 | 72 | |
| 7 | 2000 | 66 | |
| 8 | 2002 | 64 | |
| 9 | 2007 | 62 | |
| 10 | 2007 | 60 | |
| 11 | 2010 | 52 | |
| 12 | 2014 | 44 | |
| 13 | 2014 | 41 | |
| 14 | 2009 | 40 | |
| 15 | 2015 | 39 | |
| 16 | Lacking effect of grapefruit juice on theophylline pharmacokinetics. | 1995 | 36 |
| 17 | 2013 | 33 | |
| 18 | 2005 | 32 | |
| 19 | 2013 | 27 | |
| 20 | 2008 | 26 |
About A. J. Keller
A. J. Keller is a scholar working on Epidemiology, Management of Technology and Innovation, Hepatology, Hematology and Infectious Diseases, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blood donation and transfusion practices (20 papers), Hepatitis B Virus Studies (14 papers), Hepatitis C virus research (12 papers), Hemoglobinopathies and Related Disorders (9 papers), Iron Metabolism and Disorders (7 papers), HIV, Drug Use, Sexual Risk (7 papers), HIV/AIDS Research and Interventions (6 papers) and Blood transfusion and management (5 papers). The work is most often cited by research in Hepatology (751 citations), Management of Technology and Innovation (406 citations), Hematology (333 citations), Epidemiology (879 citations) and Infectious Diseases (353 citations). A. J. Keller has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Clive R. Seed, Philip Kiely, S. J. Urbaniak, T.J. Cobain, Elina Kolho, E. A. C. Follett, R. Naukkarinen, B. C. Dow, P.L. Yap and Tom Krusius. Their work appears in journals such as Transfusion, Vox Sanguinis, The Medical Journal of Australia, British Journal of Haematology and Blood.
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.