Daniel Cochrane
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Parasites and Host Interactions
Papers in
-
- Cytomegalovirus and herpesvirus research 3
- Genetics 3
- Virus-based gene therapy research 3
- Co-authors
- Judith E. Allen (1 shared paper)Meera G. Nair (1 shared paper)Peter Tomašec (2 shared papers)Carole Rickards (2 shared papers)Gavin W. G. Wilkinson (3 shared papers)Virginie Prod’homme (2 shared papers)Richard J. Stanton (3 shared papers)Rebecca Aicheler (1 shared paper)
- Journals
- Human Gene Therapy (1 paper)Journal of General Virology (1 paper)Clinical & Experimental Immunology (1 paper)International Journal of Infectious Diseases (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Sudan
In The Last Decade
Daniel Cochrane
9 papers receiving 534 citations
Peers
Comparison fields: 5 of 67
- Immunology 322
- Parasitology 98
- Epidemiology 273
- Infectious Diseases 76
- Virology 16
Countries citing papers authored by Daniel Cochrane
This map shows the geographic impact of Daniel Cochrane'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 Daniel Cochrane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cochrane more than expected).
Fields of papers citing papers by Daniel Cochrane
This network shows the impact of papers produced by Daniel Cochrane. 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 Daniel Cochrane. The network helps show where Daniel Cochrane may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Cochrane, 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 | 192 | |
| 2 | 2003 | 180 | |
| 3 | 2010 | 89 | |
| 4 | 2021 | 32 | |
| 5 | 2008 | 29 | |
| 6 | 2019 | 19 | |
| 7 | 2025 | 2 | |
| 8 | Evaluation of Enadenotucirev (ColoAd1), an oncolytic Ad11/Ad3 chimeric group B adenovirus, in combination with chemotherapeutic agents in a murine model of ovarian cancer | 2014 | 1 |
| 9 | 2014 | 1 |
About Daniel Cochrane
Daniel Cochrane is a scholar working on Epidemiology, Genetics, Biotechnology, Immunology and Parasitology, having authored 9 papers that have together received 545 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (3 papers), Cancer Research and Treatments (3 papers), Virus-based gene therapy research (3 papers), Toxoplasma gondii Research Studies (2 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Parvovirus B19 Infection Studies (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Immunology (322 citations), Parasitology (98 citations), Epidemiology (273 citations), Infectious Diseases (76 citations) and Virology (16 citations). Daniel Cochrane has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Judith E. Allen, Meera G. Nair, Peter Tomašec, Carole Rickards, Gavin W. G. Wilkinson, Virginie Prod’homme, Richard J. Stanton, Rebecca Aicheler, Sian Llewellyn‐Lacey and Andrew J. Davison. Their work appears in journals such as Human Gene Therapy, Journal of General Virology, Clinical & Experimental Immunology, International Journal of Infectious Diseases and European Journal of Cancer.
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.