Clifford Longley
- Molecular Biology
- Oncology
- Biomaterials top 5%
- Organic Chemistry top 10%
- Genetics top 10%
- Co-authors
- Philip FurmanskiHong ZhaoEugene R. BaizmanArthur BranstromRobert C. GoldmanPuja SapraLee M. GreenbergerIvan D. Horak
- Topics
- Virus-based gene therapy research (7 papers)RNA Interference and Gene Delivery (5 papers)Cancer therapeutics and mechanisms (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- United StatesRussiaHungary
In The Last Decade
Clifford Longley
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 620
- Oncology 219
- Biomaterials 205
- Organic Chemistry 193
- Genetics 191
Countries citing papers authored by Clifford Longley
This map shows the geographic impact of Clifford Longley'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 Clifford Longley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clifford Longley more than expected).
Fields of papers citing papers by Clifford Longley
This network shows the impact of papers produced by Clifford Longley. 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 Clifford Longley. The network helps show where Clifford Longley may publish in the future.
Co-authorship network of co-authors of Clifford Longley
This figure shows the co-authorship network connecting the top 25 collaborators of Clifford Longley. A scholar is included among the top collaborators of Clifford Longley 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 Clifford Longley. Clifford Longley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 78 | |
| 3 | 90 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | Is the fetus a person? | 1 |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 86 | |
| 10 | 23 | |
| 11 | 22 | |
| 12 | 58 | |
| 13 | 32 | |
| 14 | 17 | |
| 15 | 22 | |
| 16 | 96 | |
| 17 | 3 | |
| 18 | Pharmacokinetics, biodistribution, and gamma camera imaging of 111In-KC-4G3 murine monoclonal antibody in athymic nude mice with or without human tumor xenografts. | 10 |
| 19 | 12 | |
| 20 | Identification and isolation of the major core protein from the oncornavirus-like particle in human milk. | 10 |
About Clifford Longley
Clifford Longley is a scholar working on Molecular Medicine, Virology and Genetics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (5 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Biomaterials (205 citations), Molecular Medicine (52 citations) and Pharmaceutical Science (62 citations). Clifford Longley has collaborated with scholars based in United States, Russia and Hungary. Frequent co-authors include Philip Furmanski, Hong Zhao, Eugene R. Baizman, Arthur Branstrom, Robert C. Goldman, Puja Sapra, Lee M. Greenberger, Ivan D. Horak, Mary Mehlig and Michael J. Sofia. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.