G.G. Brownlee
Impact in
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- DNA and Nucleic Acid Chemistry
- Hematology top 0.5%
- Hemophilia Treatment and Research
Papers in
- Hematology 21
- Hemophilia Treatment and Research 21
-
- RNA and protein synthesis mechanisms 31
- RNA modifications and cancer 15
- Cancer-related gene regulation 14
- RNA Research and Splicing 12
- Co-authors
- Nicholas ProudfootFrederick SangerB. G. BarrellKeith G. GouldErvin FodorD. Jasper G. ReesJoyce A. HuddlestonCésar Milstein
- Journals
- Nucleic Acids Research (18 papers)Nature (17 papers)FEBS Letters (5 papers)The EMBO Journal (5 papers)Journal of Molecular Biology (5 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
G.G. Brownlee
103 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 8.3k
- Hematology 1.2k
- Immunology 1.7k
- Genetics 2.0k
- Genetics 566
Countries citing papers authored by G.G. Brownlee
This map shows the geographic impact of G.G. Brownlee'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 G.G. Brownlee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.G. Brownlee more than expected).
Fields of papers citing papers by G.G. Brownlee
This network shows the impact of papers produced by G.G. Brownlee. 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 G.G. Brownlee. The network helps show where G.G. Brownlee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G.G. Brownlee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 1 | |
| 2 | The ''RNA-fork'' model for the initiation of influenza transcription | 1996 | 1 |
| 3 | 1996 | 2 | |
| 4 | 1996 | 18 | |
| 5 | 1995 | 286 | |
| 6 | 1995 | 39 | |
| 7 | 1995 | 8 | |
| 8 | 1994 | 3 | |
| 9 | 1994 | 7 | |
| 10 | 1993 | 36 | |
| 11 | 1993 | 12 | |
| 12 | 1992 | 23 | |
| 13 | 1992 | 86 | |
| 14 | 1990 | 123 | |
| 15 | 1990 | 59 | |
| 16 | 1989 | 39 | |
| 17 | 1988 | 304 | |
| 18 | 1979 | 35 | |
| 19 | 1978 | 127 | |
| 20 | Chromatography of 32P‐Labelled Oligonucleotides on Thin Layers of DEAE‐Cellulose Hit paper breakdown → | 1969 | 459 |
About G.G. Brownlee
G.G. Brownlee is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 104 papers that have together received 12.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (31 papers), Influenza Virus Research Studies (23 papers), Hemophilia Treatment and Research (21 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), RNA modifications and cancer (15 papers), Cancer-related gene regulation (14 papers), RNA Research and Splicing (12 papers) and interferon and immune responses (9 papers). The work is most often cited by research in Molecular Biology (8.3k citations), Hematology (1.2k citations), Immunology (1.7k citations), Genetics (2.0k citations) and Genetics (566 citations). G.G. Brownlee has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Nicholas Proudfoot, Frederick Sanger, B. G. Barrell, Keith G. Gould, Ervin Fodor, D. Jasper G. Rees, Joyce A. Huddleston, César Milstein, Alain Townsend and K.H. Andy Choo. Their work appears in journals such as Nucleic Acids Research, Nature, FEBS Letters, The EMBO Journal 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.