Robert W. Tindle
- Immunology top 2%
- Immunotherapy and Immune Responses 41
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 6
- Epidemiology top 2%
- Cervical Cancer and HPV Research 32
- Hepatitis B Virus Studies 14
- Hematology top 5%
- Virology top 5%
- Oncology top 5%
-
- Virus-based gene therapy research 12
-
- vaccines and immunoinformatics approaches 8
-
- Avian ecology and behavior 6
- Co-authors
- Ian H. FrazerGermain J. P. FernandoKaren HerdTracy DoanF KatzMelvyn F. GreavesD. Robert SutherlandPidder Jansen‐Dürr
- Cited by
- ImmunologyEpidemiologyHematology
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Robert W. Tindle
78 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 108
- Immunology 1.5k
- Epidemiology 1.2k
- Hematology 329
- Virology 90
- Oncology 494
Countries citing papers authored by Robert W. Tindle
This map shows the geographic impact of Robert W. Tindle'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 Robert W. Tindle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. Tindle more than expected).
Fields of papers citing papers by Robert W. Tindle
This network shows the impact of papers produced by Robert W. Tindle. 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 Robert W. Tindle. The network helps show where Robert W. Tindle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert W. Tindle, 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 | 2008 | 16 | |
| 2 | 2004 | 31 | |
| 3 | 2004 | 19 | |
| 4 | 2003 | 58 | |
| 5 | 2002 | 25 | |
| 6 | 1999 | 9 | |
| 7 | 1999 | 9 | |
| 8 | 1999 | 79 | |
| 9 | 1999 | 8 | |
| 10 | 1999 | 6 | |
| 11 | 1998 | 39 | |
| 12 | 1997 | 21 | |
| 13 | 1997 | 53 | |
| 14 | 1996 | 59 | |
| 15 | 1995 | 17 | |
| 16 | 1995 | 35 | |
| 17 | 1994 | 32 | |
| 18 | 1993 | 13 | |
| 19 | 1990 | 57 | |
| 20 | Studies with the monoclonal-antibodies (MCAB) BI-3C5 and M906 in normal and leukemic-cells | 1984 | 1 |
About Robert W. Tindle
Robert W. Tindle is a scholar working on Immunology, Epidemiology, Hematology, Genetics and Virology, having authored 79 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (41 papers), Cervical Cancer and HPV Research (32 papers), Hepatitis B Virus Studies (14 papers), Virus-based gene therapy research (12 papers), T-cell and B-cell Immunology (9 papers), vaccines and immunoinformatics approaches (8 papers), Avian ecology and behavior (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Immunology (1.5k citations), Epidemiology (1.2k citations), Hematology (329 citations), Virology (90 citations) and Oncology (494 citations). Robert W. Tindle has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ian H. Frazer, Germain J. P. Fernando, Karen Herd, Tracy Doan, F Katz, Melvyn F. Greaves, D. Robert Sutherland, Pidder Jansen‐Dürr, Werner Zwerschke and Boris Mannhardt. Their work appears in journals such as Virology, Journal of Virology, British Journal of Haematology, Vaccine and Leukemia Research.
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.