Eric Austin
- Oncology top 5%
- Immunology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Co-authors
- Fiona ThistlethwaiteRobert E. HawkinsDeborah J. BurtR. A. RobinsLindy G. DurrantPeter L. SternEyad ElkordChristy Ralph
- Topics
- Monoclonal and Polyclonal Antibodies Research (9 papers)Glycosylation and Glycoproteins Research (5 papers)Immune Cell Function and Interaction (5 papers)
- Cited by
- ImmunologyOncologyHematology
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Eric Austin
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Oncology 611
- Immunology 476
- Molecular Biology 278
- Radiology, Nuclear Medicine and Imaging 186
- Surgery 172
Countries citing papers authored by Eric Austin
This map shows the geographic impact of Eric Austin'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 Eric Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Austin more than expected).
Fields of papers citing papers by Eric Austin
This network shows the impact of papers produced by Eric Austin. 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 Eric Austin. The network helps show where Eric Austin may publish in the future.
Co-authorship network of co-authors of Eric Austin
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Austin. A scholar is included among the top collaborators of Eric Austin 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 Eric Austin. Eric Austin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 303 | |
| 3 | 17 | |
| 4 | Guidelines for the Estimation of Fetomaternal Haemorrhage Working Party of the British Committee for Standards in Haematology, Transfusion Taskforce. | 8 |
| 5 | 5 | |
| 6 | 20 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 5 | |
| 12 | 47 | |
| 13 | 28 | |
| 14 | 22 | |
| 15 | 56 | |
| 16 | 3 | |
| 17 | 30 | |
| 18 | 30 | |
| 19 | Monoclonal antibodies reacting with normal rat liver cells as probes in hepatocarcinogenesis. | 9 |
| 20 | Comparative studies of the metastatic potential of three transplantable rat mammary carcinomas of spontaneous origin. | 5 |
About Eric Austin
Eric Austin is a scholar working on Medical Laboratory Technology, Hematology and Immunology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Glycosylation and Glycoproteins Research (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Immunology (476 citations), Oncology (611 citations) and Hematology (137 citations). Eric Austin has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Fiona Thistlethwaite, Robert E. Hawkins, Deborah J. Burt, R. A. Robins, Lindy G. Durrant, Peter L. Stern, Eyad Elkord, Christy Ralph, J D Hardcastle and G. Denton. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Clinical Cancer 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.