TJ Hamblin
- Immunology top 5%
- Genetics top 2%
- Hematology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Co-authors
- G DighieroFreda K. StevensonGT StevensonR. LeoAnthony D. LongDelin ZhuRE HawkinsGreg Winter
- Topics
- Monoclonal and Polyclonal Antibodies Research (14 papers)Chronic Lymphocytic Leukemia Research (7 papers)Glycosylation and Glycoproteins Research (6 papers)
- Cited by
- GeneticsHematologyImmunology
- Journals
- The LancetBloodComprehensive Therapy
- Partner nations
- United KingdomUnited StatesUruguay
In The Last Decade
TJ Hamblin
24 papers receiving 1000 citations
Peers
Comparison fields: 5 of 66
- Immunology 472
- Genetics 426
- Hematology 364
- Radiology, Nuclear Medicine and Imaging 307
- Molecular Biology 283
Countries citing papers authored by TJ Hamblin
This map shows the geographic impact of TJ Hamblin'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 TJ Hamblin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TJ Hamblin more than expected).
Fields of papers citing papers by TJ Hamblin
This network shows the impact of papers produced by TJ Hamblin. 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 TJ Hamblin. The network helps show where TJ Hamblin may publish in the future.
Co-authorship network of co-authors of TJ Hamblin
This figure shows the co-authorship network connecting the top 25 collaborators of TJ Hamblin. A scholar is included among the top collaborators of TJ Hamblin 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 TJ Hamblin. TJ Hamblin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 236 | |
| 2 | DNA vaccines against haematological malignancies. | 7 |
| 3 | 89 | |
| 4 | Immunological abnormalities in myelodysplastic syndromes. | 139 |
| 5 | 134 | |
| 6 | 11 | |
| 7 | 45 | |
| 8 | Interleukin-2 for anti-cancer therapy. | 2 |
| 9 | 71 | |
| 10 | 7 | |
| 11 | Clinical parameters for evaluating biological response modifier therapy. | 4 |
| 12 | Use of a cross reacting anti-idiotype to identify normal counterparts of neoplastic cells. | 5 |
| 13 | 7 | |
| 14 | 39 | |
| 15 | Circulating stem cell autografts. | 43 |
| 16 | 79 | |
| 17 | 13 | |
| 18 | 22 | |
| 19 | 1 | |
| 20 | Rosette tests in autoimmune haemolytic anaemias. | 23 |
About TJ Hamblin
TJ Hamblin is a scholar working on Hematology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). The work is most often cited by research in Genetics (426 citations), Hematology (364 citations) and Immunology (472 citations). TJ Hamblin has collaborated with scholars based in United Kingdom, United States and Uruguay. Frequent co-authors include G Dighiero, Freda K. Stevenson, GT Stevenson, R. Leo, Anthony D. Long, Delin Zhu, RE Hawkins, Greg Winter, M Wrightham and M J Glennie. Their work appears in journals such as The Lancet, Blood and Comprehensive Therapy.
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.