Edward M. Bertram
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Virology top 10%
Papers in
- Immunology 26
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 19
- Immunotherapy and Immune Responses 12
- Immune Response and Inflammation 5
- Virology 1
- Co-authors
- Tania H. WattsWojciech DawickiChristopher C. GoodnowT. Daniel AndrewsVicky ChoAnselm EndersAllison R. JilbertS.M.T. Chan
- Journals
- The Journal of Immunology (7 papers)Proceedings of the National Academy of Sciences (2 papers)Vaccine (2 papers)Seminars in Immunology (2 papers)Veterinary Immunology and Immunopathology (2 papers)
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Edward M. Bertram
33 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Immunology 979
- Virology 54
- Cancer Research 148
- Molecular Biology 674
- Oncology 206
Countries citing papers authored by Edward M. Bertram
This map shows the geographic impact of Edward M. Bertram'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 Edward M. Bertram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward M. Bertram more than expected).
Fields of papers citing papers by Edward M. Bertram
This network shows the impact of papers produced by Edward M. Bertram. 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 Edward M. Bertram. The network helps show where Edward M. Bertram may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward M. Bertram, 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 | 2024 | 4 | |
| 2 | 2019 | 131 | |
| 3 | 2013 | 3 | |
| 4 | 2013 | 13 | |
| 5 | 2008 | 67 | |
| 6 | 2006 | 3 | |
| 7 | 2004 | 107 | |
| 8 | 2004 | 123 | |
| 9 | 2004 | 79 | |
| 10 | 2004 | 13 | |
| 11 | 2003 | 59 | |
| 12 | 2002 | 221 | |
| 13 | 2002 | 24 | |
| 14 | 2002 | 77 | |
| 15 | 2001 | 25 | |
| 16 | 1998 | 65 | |
| 17 | 1998 | 17 | |
| 18 | 1998 | 26 | |
| 19 | 1997 | 22 | |
| 20 | 1994 | 4 |
About Edward M. Bertram
Edward M. Bertram is a scholar working on Immunology, Virology, Endocrinology, Immunology and Allergy and Nephrology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (19 papers), Immunotherapy and Immune Responses (12 papers), Immune Response and Inflammation (5 papers), Genomics and Rare Diseases (3 papers), Herpesvirus Infections and Treatments (2 papers), CRISPR and Genetic Engineering (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Immunology (979 citations), Virology (54 citations), Cancer Research (148 citations), Molecular Biology (674 citations) and Oncology (206 citations). Edward M. Bertram has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Tania H. Watts, Wojciech Dawicki, Christopher C. Goodnow, T. Daniel Andrews, Vicky Cho, Anselm Enders, Allison R. Jilbert, S.M.T. Chan, Yan Mei and Andy Hee‐Meng Tan. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Vaccine, Seminars in Immunology and Veterinary Immunology and Immunopathology.
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.