Donald L. Fine
- Molecular Biology top 5%
- Organic Chemistry top 2%
- Oncology top 5%
- Infectious Diseases top 5%
- Genetics top 5%
- Co-authors
- Michael R. BoydRobert H. ShoemakerJoseph G. MayoBetty J. AbbottAnne MonksMaciej CzerwińskiMichael C. AlleyDominic A. Scudiero
- Topics
- Virus-based gene therapy research (18 papers)Herpesvirus Infections and Treatments (14 papers)Animal Virus Infections Studies (10 papers)
- Cited by
- VirologyToxicologyBiotechnology
- Partner nations
- United StatesMalaysiaUkraine
In The Last Decade
Donald L. Fine
50 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.9k
- Organic Chemistry 1.1k
- Oncology 889
- Infectious Diseases 500
- Genetics 488
Countries citing papers authored by Donald L. Fine
This map shows the geographic impact of Donald L. Fine'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 Donald L. Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald L. Fine more than expected).
Fields of papers citing papers by Donald L. Fine
This network shows the impact of papers produced by Donald L. Fine. 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 Donald L. Fine. The network helps show where Donald L. Fine may publish in the future.
Co-authorship network of co-authors of Donald L. Fine
This figure shows the co-authorship network connecting the top 25 collaborators of Donald L. Fine. A scholar is included among the top collaborators of Donald L. Fine 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 Donald L. Fine. Donald L. Fine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 18 | |
| 3 | 13 | |
| 4 | 40 | |
| 5 | 28 | |
| 6 | 33 | |
| 7 | 11 | |
| 8 | Development of human tumor cell line panels for use in disease-oriented drug screening. | 74 |
| 9 | 16 | |
| 10 | 41 | |
| 11 | 7 | |
| 12 | 28 | |
| 13 | Autogenous immunity to mouse mammary tumor virus in mouse strains of high and low mammary tumor incidence. | 29 |
| 14 | 72 | |
| 15 | Variations in phenotypic expression of mmtv in mouse mammary tumor- -derived cell clones. Abstr. | 1 |
| 16 | 49 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 6 |
About Donald L. Fine
Donald L. Fine is a scholar working on Virology, Animal Science and Zoology and Genetics, having authored 52 papers that have together received 4.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), Herpesvirus Infections and Treatments (14 papers) and Animal Virus Infections Studies (10 papers). The work is most often cited by research in Virology (370 citations), Toxicology (205 citations) and Biotechnology (372 citations). Donald L. Fine has collaborated with scholars based in United States, Malaysia and Ukraine. Frequent co-authors include Michael R. Boyd, Robert H. Shoemaker, Joseph G. Mayo, Betty J. Abbott, Anne Monks, Maciej Czerwiński, Michael C. Alley, Dominic A. Scudiero, Miriam L. Hursey and John P. Bader. Their work appears in journals such as Science, JNCI Journal of the National Cancer Institute and Journal of Virology.
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.