F. Hill
Impact in
Papers in
-
- DNA and Nucleic Acid Chemistry 10
- RNA and protein synthesis mechanisms 8
- CRISPR and Genetic Engineering 4
- Immunology 13
- Immune Cell Function and Interaction 4
- Co-authors
- Abraham Karpas (8 shared papers)Michael Tristem (5 shared papers)Andrew Baird (1 shared paper)Roger Guillemin (1 shared paper)Nicholas Ling (1 shared paper)Frederick Esch (1 shared paper)Peter Böhlen (1 shared paper)Denis Gospodarowicz (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)PLoS ONE (4 papers)Veterinary Record (4 papers)Nucleic Acids Research (3 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
F. Hill
57 papers receiving 2.3k citations
F. Hill's Hit Papers
Peers
Comparison fields: 5 of 115
- Virology 521
- Aging 45
- Infectious Diseases 413
- Immunology 414
- Molecular Biology 1.3k
Countries citing papers authored by F. Hill
This map shows the geographic impact of F. Hill'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 F. Hill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Hill more than expected).
Fields of papers citing papers by F. Hill
This network shows the impact of papers produced by F. Hill. 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 F. Hill. The network helps show where F. Hill may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Hill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Primary structure of bovine pituitary basic fibroblast growth factor (FGF) and comparison with the amino-terminal sequence of bovine brain acidic FGF. Hit paper breakdown → | 1985 | 657 |
| 2 | 1992 | 210 | |
| 3 | 2008 | 120 | |
| 4 | 1992 | 120 | |
| 5 | 1996 | 103 | |
| 6 | 1988 | 94 | |
| 7 | 2016 | 81 | |
| 8 | 1995 | 78 | |
| 9 | 2008 | 66 | |
| 10 | 1990 | 65 | |
| 11 | 1998 | 62 | |
| 12 | 1992 | 44 | |
| 13 | 1970 | 44 | |
| 14 | 1998 | 43 | |
| 15 | 1987 | 43 | |
| 16 | 2012 | 42 | |
| 17 | 1997 | 40 | |
| 18 | 2008 | 39 | |
| 19 | 1996 | 37 | |
| 20 | 2016 | 34 |
About F. Hill
F. Hill is a scholar working on Molecular Biology, Immunology, Virology, Epidemiology and Infectious Diseases, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (10 papers), HIV Research and Treatment (9 papers), RNA and protein synthesis mechanisms (8 papers), HIV/AIDS drug development and treatment (5 papers), Malaria Research and Control (4 papers), Immune Cell Function and Interaction (4 papers), Chromosomal and Genetic Variations (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Virology (521 citations), Aging (45 citations), Infectious Diseases (413 citations), Immunology (414 citations) and Molecular Biology (1.3k citations). F. Hill has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Abraham Karpas, Michael Tristem, Andrew Baird, Roger Guillemin, Nicholas Ling, Frederick Esch, Peter Böhlen, Denis Gospodarowicz, Naoto Ueno and David Loakes. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Veterinary Record, Nucleic Acids Research and Journal of Molecular Biology.
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.