D C Bicknell

2.3k citations
28 papers · 1.9k · h-index 17

Impact in

Papers in

D C Bicknell

28 papers receiving 1.8k citations

Peers

D C Bicknell
Comparison fields: 5 of 80
  • Immunology 585
  • Pathology and Forensic Medicine 460
  • Hematology 256
  • Oncology 516
  • Cancer Research 230
Replace Franz Kohlhuber with:
Franz Kohlhuber Germany
Yasmin Akbarali United States
Wen-Kai Weng United States
Yen K. Lieu United States
Ludwig Wilkens Germany
Natasha G. Deane United States
Magdalena Martinka Canada
Erik A. Nelson United States
Helena Jernberg‐Wiklund Sweden
Habib Boukerche France
D C Bicknell relative to Franz Kohlhuber Germany Franz Kohlhuber's profile →
Citations per field
00.5×1.7×
Franz Kohlhuber · 1×
Citations per year

Countries citing papers authored by D C Bicknell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside D C Bicknell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D C Bicknell Line = papers co-authored together D C Bicknell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000395
2 1982216
3 1992192
4 2001155
5 1993149
6 1994119
7 199690
8 199390
9 198790
10 198779
11 200457
12 198153
13 199330
14 200826
15
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.
198625
16 200124
17 198818
18 197614
19 198514
20 197211

About D C Bicknell

D C Bicknell is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Pulmonary and Respiratory Medicine, 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), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (4 papers), Neonatal Respiratory Health Research (4 papers), Hormonal and reproductive studies (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (585 citations), Pathology and Forensic Medicine (460 citations), Hematology (256 citations), Oncology (516 citations) and Cancer Research (230 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, Aggeliki Papadopoulou, Mohammad Ilyas and J. Sträub. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Chromatography A, British Journal of Cancer, Pediatric Research and Blood.

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.

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