Albert J. Dalton
- Molecular Biology top 10%
- Cell Biology top 2%
- Genetics top 5%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- Marie D. FelixRobert F. ZeigelD. Eugene CopelandFrançoise HaguenauJohn B. MoloneyEdward L. KuffMichael PotterRuth M. Merwin
- Topics
- Virus-based gene therapy research (15 papers)Animal Virus Infections Studies (7 papers)Parvovirus B19 Infection Studies (4 papers)
- Partner nations
- United StatesMalaysiaUnited Kingdom
In The Last Decade
Albert J. Dalton
69 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.2k
- Cell Biology 667
- Genetics 433
- Epidemiology 359
- Oncology 312
Countries citing papers authored by Albert J. Dalton
This map shows the geographic impact of Albert J. Dalton'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 Albert J. Dalton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert J. Dalton more than expected).
Fields of papers citing papers by Albert J. Dalton
This network shows the impact of papers produced by Albert J. Dalton. 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 Albert J. Dalton. The network helps show where Albert J. Dalton may publish in the future.
Co-authorship network of co-authors of Albert J. Dalton
This figure shows the co-authorship network connecting the top 25 collaborators of Albert J. Dalton. A scholar is included among the top collaborators of Albert J. Dalton 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 Albert J. Dalton. Albert J. Dalton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 66 | |
| 5 | 20 | |
| 6 | Ultrastructure of animal viruses and bacteriophages : an atlas | 110 |
| 7 | Ultrastructural and biological properties of a cytomegalovirus rescued from a human paraganglioma. | 13 |
| 8 | 22 | |
| 9 | In vitro neoplastic transformation of uveal and retinal tissue by oncogenic DNA viruses. | 33 |
| 10 | Ultrastructure of the kidney | 23 |
| 11 | 41 | |
| 12 | 37 | |
| 13 | Tumors induced by viruses : ultrastructural studies | 16 |
| 14 | 100 | |
| 15 | 156 | |
| 16 | 211 | |
| 17 | 1 | |
| 18 | 217 | |
| 19 | 9 | |
| 20 | 22 |
About Albert J. Dalton
Albert J. Dalton is a scholar working on Animal Science and Zoology, Structural Biology and Genetics, having authored 71 papers that have together received 3.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Animal Virus Infections Studies (7 papers) and Parvovirus B19 Infection Studies (4 papers). The work is most often cited by research in Cell Biology (667 citations), Animal Science and Zoology (212 citations) and Molecular Biology (1.2k citations). Albert J. Dalton has collaborated with scholars based in United States, Malaysia and United Kingdom. Frequent co-authors include Marie D. Felix, Robert F. Zeigel, D. Eugene Copeland, Françoise Haguenau, John B. Moloney, Edward L. Kuff, Michael Potter, Ruth M. Merwin, Clifford Grobstein and Ursula Heine. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.