G Radcliffe
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
Papers in
-
- Molecular Biology Techniques and Applications 3
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Janet Stavnezer (3 shared papers)Eva Severinson (1 shared paper)Jennifer B. Nietupski (1 shared paper)Roberto Sitia (1 shared paper)Seshi R. Sompuram (2 shared papers)Xiaohong Wang (1 shared paper)Kodela Vani (2 shared papers)Steven A. Bogen (2 shared papers)
- Journals
- Journal of Clinical Microbiology (5 papers)Cancer (2 papers)Molecular and Cellular Biology (2 papers)Clinical Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
G Radcliffe
13 papers receiving 573 citations
Peers
Comparison fields: 5 of 66
- Microbiology 83
- Immunology 258
- Radiology, Nuclear Medicine and Imaging 105
- Epidemiology 128
- Cancer Research 52
Countries citing papers authored by G Radcliffe
This map shows the geographic impact of G Radcliffe'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 G Radcliffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Radcliffe more than expected).
Fields of papers citing papers by G Radcliffe
This network shows the impact of papers produced by G Radcliffe. 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 G Radcliffe. The network helps show where G Radcliffe may publish in the future.
Co-authors
The 25 scholars most cited alongside G Radcliffe, 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 | 1988 | 234 | |
| 2 | 1992 | 70 | |
| 3 | 1997 | 61 | |
| 4 | 2002 | 45 | |
| 5 | 1990 | 40 | |
| 6 | 2002 | 32 | |
| 7 | 1998 | 30 | |
| 8 | 1995 | 25 | |
| 9 | 1990 | 18 | |
| 10 | 1995 | 17 | |
| 11 | 1994 | 17 | |
| 12 | 1997 | 10 | |
| 13 | 1998 | 2 |
About G Radcliffe
G Radcliffe is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Microbiology and Infectious Diseases, having authored 13 papers that have together received 601 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), Reproductive tract infections research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Bacteriophages and microbial interactions (2 papers), Tuberculosis Research and Epidemiology (2 papers), Cancer Cells and Metastasis (2 papers), HER2/EGFR in Cancer Research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Microbiology (83 citations), Immunology (258 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Epidemiology (128 citations) and Cancer Research (52 citations). G Radcliffe has collaborated with scholars based in United States and Italy. Frequent co-authors include Janet Stavnezer, Eva Severinson, Jennifer B. Nietupski, Roberto Sitia, Seshi R. Sompuram, Xiaohong Wang, Kodela Vani, Steven A. Bogen, David J. Dabbs and Kenneth B. Marcu. Their work appears in journals such as Journal of Clinical Microbiology, Cancer, Molecular and Cellular Biology, Clinical Chemistry and Proceedings of the National Academy of Sciences.
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.