D F Bainton
- Immunology top 0.5%
- Molecular Biology top 2%
- Hematology top 0.2%
- Immunology and Allergy top 0.05%
- Physiology top 1%
- Co-authors
- Marilyn G. FarquharRodger P. McEverMarc A. ShumanTimothy A. SpringerNiels BorregaardKevin L. MoorePaula E. StenbergClement A. Finch
- Topics
- Platelet Disorders and Treatments (23 papers)Cell Adhesion Molecules Research (19 papers)Erythrocyte Function and Pathophysiology (16 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
D F Bainton
94 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Immunology 4.2k
- Molecular Biology 3.8k
- Hematology 2.9k
- Immunology and Allergy 2.9k
- Physiology 1.6k
Countries citing papers authored by D F Bainton
This map shows the geographic impact of D F Bainton'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 F Bainton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D F Bainton more than expected).
Fields of papers citing papers by D F Bainton
This network shows the impact of papers produced by D F Bainton. 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 F Bainton. The network helps show where D F Bainton may publish in the future.
Co-authorship network of co-authors of D F Bainton
This figure shows the co-authorship network connecting the top 25 collaborators of D F Bainton. A scholar is included among the top collaborators of D F Bainton 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 F Bainton. D F Bainton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 80 | |
| 3 | 122 | |
| 4 | 71 | |
| 5 | 48 | |
| 6 | 257 | |
| 7 | 35 | |
| 8 | GMP-140, a platelet alpha-granule membrane protein, is also synthesized by vascular endothelial cells and is localized in Weibel-Palade bodies.breakdown → | 811 |
| 9 | 147 | |
| 10 | 102 | |
| 11 | 5 | |
| 12 | 80 | |
| 13 | 185 | |
| 14 | 46 | |
| 15 | 101 | |
| 16 | 94 | |
| 17 | 170 | |
| 18 | Differences in peroxidase localization of rabbit peritoneal macrophages after surface adherence. | 37 |
| 19 | 100 | |
| 20 | THE DEVELOPMENT OF NEUTROPHILIC POLYMORPHONUCLEAR LEUKOCYTES IN HUMAN BONE MARROWbreakdown → | 704 |
About D F Bainton
D F Bainton is a scholar working on Immunology and Allergy, Hematology and Immunology, having authored 94 papers that have together received 12.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (23 papers), Cell Adhesion Molecules Research (19 papers) and Erythrocyte Function and Pathophysiology (16 papers). The work is most often cited by research in Immunology and Allergy (2.9k citations), Hematology (2.9k citations) and Microbiology (1.4k citations). D F Bainton has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Marilyn G. Farquhar, Rodger P. McEver, Marc A. Shuman, Timothy A. Springer, Niels Borregaard, Kevin L. Moore, Paula E. Stenberg, Clement A. Finch, Michael E. Selsted and S S Harwig. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.