D C Bicknell
- Molecular Biology
- Immunology top 5%
- Oncology top 5%
- Pathology and Forensic Medicine top 2%
- Hematology top 5%
- Co-authors
- Walter F. BodmerAndrew RowanIan TomlinsonP. KrausaMichael J. BrowningL KaklamanisS CottrellJ. Sträub
- Topics
- Genetic factors in colorectal cancer (7 papers)Immunotherapy and Immune Responses (5 papers)Glycosylation and Glycoproteins Research (4 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
D C Bicknell
28 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 679
- Immunology 613
- Oncology 595
- Pathology and Forensic Medicine 519
- Hematology 265
Countries citing papers authored by D C Bicknell
This map shows the geographic impact of D C Bicknell'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 D C Bicknell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D C Bicknell more than expected).
Fields of papers citing papers by D C Bicknell
This network shows the impact of papers produced by D C Bicknell. 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 D C Bicknell. The network helps show where D C Bicknell may publish in the future.
Co-authorship network of co-authors of D C Bicknell
This figure shows the co-authorship network connecting the top 25 collaborators of D C Bicknell. A scholar is included among the top collaborators of D C Bicknell 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 D C Bicknell. D C Bicknell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 24 | |
| 5 | 396 | |
| 6 | 89 | |
| 7 | 119 | |
| 8 | 90 | |
| 9 | 30 | |
| 10 | 149 | |
| 11 | 191 | |
| 12 | 18 | |
| 13 | 90 | |
| 14 | Lactoferrin: affinity purification from human milk and polymorphonuclear neutrophils using monoclonal antibody (II 2C) to human lactoferrin, development of an immunoradiometric assay using II 2C, and myelopoietic regulation and receptor-binding characteristics. | 25 |
| 15 | 6 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 216 | |
| 19 | 11 | |
| 20 | 5 |
About D C Bicknell
D C Bicknell is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), Immunotherapy and Immune Responses (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Immunology (613 citations), Pathology and Forensic Medicine (519 citations) and Hematology (265 citations). D C Bicknell has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Walter F. Bodmer, Andrew Rowan, Ian Tomlinson, P. Krausa, Michael J. Browning, L Kaklamanis, S Cottrell, J. Sträub, Mohammad Ilyas and Aggeliki Papadopoulou. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.