Christopher J. McIver
- Infectious Diseases top 2%
- Molecular Medicine top 0.5%
- Endocrinology top 1%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Peter A. WhiteWilliam D. RawlinsonElise TuRowena A. BullJ. Michael JandaYi‐Mo DengStephen M. RiordanSharon L. Abbott
- Topics
- Viral gastroenteritis research and epidemiology (11 papers)Viral Infections and Immunology Research (6 papers)Antibiotic Resistance in Bacteria (4 papers)
- Partner nations
- AustraliaUnited KingdomNew Zealand
In The Last Decade
Christopher J. McIver
33 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 758
- Molecular Medicine 532
- Endocrinology 403
- Epidemiology 314
- Cardiology and Cardiovascular Medicine 294
Countries citing papers authored by Christopher J. McIver
This map shows the geographic impact of Christopher J. McIver'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 Christopher J. McIver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. McIver more than expected).
Fields of papers citing papers by Christopher J. McIver
This network shows the impact of papers produced by Christopher J. McIver. 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 Christopher J. McIver. The network helps show where Christopher J. McIver may publish in the future.
Co-authorship network of co-authors of Christopher J. McIver
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. McIver. A scholar is included among the top collaborators of Christopher J. McIver based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher J. McIver. Christopher J. McIver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 77 | |
| 8 | 36 | |
| 9 | 4 | |
| 10 | 285 | |
| 11 | 11 | |
| 12 | 135 | |
| 13 | 69 | |
| 14 | 64 | |
| 15 | 404 | |
| 16 | 26 | |
| 17 | 167 | |
| 18 | 4 | |
| 19 | 13 | |
| 20 | 5 |
About Christopher J. McIver
Christopher J. McIver is a scholar working on Endocrinology, Infectious Diseases and Molecular Medicine, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (11 papers), Viral Infections and Immunology Research (6 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Molecular Medicine (532 citations), Endocrinology (403 citations) and Infectious Diseases (758 citations). Christopher J. McIver has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Peter A. White, William D. Rawlinson, Elise Tu, Rowena A. Bull, J. Michael Janda, Yi‐Mo Deng, Stephen M. Riordan, Sharon L. Abbott, Grant S. Hansman and Jelica Kurtovic. Their work appears in journals such as Hepatology, Clinical Microbiology Reviews and Journal of Clinical Microbiology.
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.