B. Daniel Burleigh
- Molecular Biology
- Biochemistry top 5%
- Genetics
- Endocrinology, Diabetes and Metabolism top 10%
- Reproductive Medicine top 10%
- Co-authors
- Charles H. WilliamsBrian S. HartleyPeter RigbyD N WardHoward R. MorrisAnne DellWan-Kyng LiuDarrell N. Ward
- Topics
- Growth Hormone and Insulin-like Growth Factors (4 papers)Amino Acid Enzymes and Metabolism (3 papers)Pancreatic function and diabetes (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
B. Daniel Burleigh
20 papers receiving 647 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 412
- Biochemistry 115
- Genetics 114
- Endocrinology, Diabetes and Metabolism 99
- Reproductive Medicine 66
Countries citing papers authored by B. Daniel Burleigh
This map shows the geographic impact of B. Daniel Burleigh'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 B. Daniel Burleigh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Daniel Burleigh more than expected).
Fields of papers citing papers by B. Daniel Burleigh
This network shows the impact of papers produced by B. Daniel Burleigh. 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 B. Daniel Burleigh. The network helps show where B. Daniel Burleigh may publish in the future.
Co-authorship network of co-authors of B. Daniel Burleigh
This figure shows the co-authorship network connecting the top 25 collaborators of B. Daniel Burleigh. A scholar is included among the top collaborators of B. Daniel Burleigh 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 B. Daniel Burleigh. B. Daniel Burleigh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Novel technetium (III)-Q complexes for functional imaging of multidrug resistance (MDR1) P-glycoprotein. | 49 |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 25 | |
| 5 | 37 | |
| 6 | 36 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 112 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 23 | |
| 14 | 39 | |
| 15 | 115 | |
| 16 | 30 | |
| 17 | 5 | |
| 18 | 38 | |
| 19 | 83 | |
| 20 | 91 |
About B. Daniel Burleigh
B. Daniel Burleigh is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Molecular Medicine, having authored 20 papers that have together received 740 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Amino Acid Enzymes and Metabolism (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Biochemistry (115 citations), Reproductive Medicine (66 citations) and Clinical Biochemistry (41 citations). B. Daniel Burleigh has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Charles H. Williams, Brian S. Hartley, Peter Rigby, D N Ward, Howard R. Morris, Anne Dell, Wan-Kyng Liu, Darrell N. Ward, Leonard C. Packman and B. S. Hartley. Their work appears in journals such as Nature, Journal of Biological Chemistry and Analytical Biochemistry.
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.