Julian Hickling
- Epidemiology top 2%
- Immunology top 2%
- Molecular Biology
- Genetics top 10%
- Oncology top 10%
- Co-authors
- Leszek K. BorysiewiczJ. G. P. SissonsShek GrahamSjoerd H. van der BurgRienk OffringaSimon StaceyJ St Clair RobertsAlison Fiander
- Topics
- Immunotherapy and Immune Responses (16 papers)Cervical Cancer and HPV Research (10 papers)Virus-based gene therapy research (6 papers)
- Cited by
- ImmunologyEpidemiologyVirology
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Julian Hickling
29 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 86
- Epidemiology 1.6k
- Immunology 1.4k
- Molecular Biology 284
- Genetics 257
- Oncology 249
Countries citing papers authored by Julian Hickling
This map shows the geographic impact of Julian Hickling'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 Julian Hickling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Hickling more than expected).
Fields of papers citing papers by Julian Hickling
This network shows the impact of papers produced by Julian Hickling. 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 Julian Hickling. The network helps show where Julian Hickling may publish in the future.
Co-authorship network of co-authors of Julian Hickling
This figure shows the co-authorship network connecting the top 25 collaborators of Julian Hickling. A scholar is included among the top collaborators of Julian Hickling 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 Julian Hickling. Julian Hickling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 14 | |
| 3 | 68 | |
| 4 | 37 | |
| 5 | 16 | |
| 6 | 11 | |
| 7 | 40 | |
| 8 | 99 | |
| 9 | Immunological and clinical responses in women with vulval intraepithelial neoplasia vaccinated with a vaccinia virus encoding human papillomavirus 16/18 oncoproteins. | 140 |
| 10 | 140 | |
| 11 | 124 | |
| 12 | 16 | |
| 13 | 426 | |
| 14 | Human cytotoxic T lymphocytes stimulated by endogenously processed human papillomavirus type 11 E7 recognize a peptide containing a HLA-A2 (A*0201) motif. | 30 |
| 15 | 5 | |
| 16 | 56 | |
| 17 | 67 | |
| 18 | 27 | |
| 19 | 217 | |
| 20 | 104 |
About Julian Hickling
Julian Hickling is a scholar working on Immunology, Epidemiology and Health, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), Cervical Cancer and HPV Research (10 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Immunology (1.4k citations), Epidemiology (1.6k citations) and Virology (152 citations). Julian Hickling has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Leszek K. Borysiewicz, J. G. P. Sissons, Shek Graham, Sjoerd H. van der Burg, Rienk Offringa, Simon Stacey, J St Clair Roberts, Alison Fiander, Stephen Man and Peter L. Stern. Their work appears in journals such as The Lancet, The Journal of Experimental Medicine and PLoS ONE.
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.