G Bruns
Impact in
- Cell Biology top 10%
- Hemoglobin structure and function
- Molecular Biology top 10%
- Renal and related cancers
- RNA and protein synthesis mechanisms
- Porphyrin Metabolism and Disorders
Papers in
-
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 4
- Molecular Biology Techniques and Applications 3
- Glycosylation and Glycoproteins Research 2
- Fungal and yeast genetics research 2
- Genetics 7
- Co-authors
- Irving M. London (3 shared papers)S.A. Latt (9 shared papers)N Kanda (5 shared papers)Rhona Schreck (3 shared papers)Yosef Shiloh (6 shared papers)Tim Donlon (4 shared papers)Doris Karibian (1 shared paper)Frederick W. Alt (1 shared paper)
- Journals
- Genomics (3 papers)Human Genetics (3 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular and Cellular Biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
G Bruns
25 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Cell Biology 195
- Molecular Biology 752
- Neurology 139
- Genetics 94
- Genetics 200
Countries citing papers authored by G Bruns
This map shows the geographic impact of G Bruns'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 Bruns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Bruns more than expected).
Fields of papers citing papers by G Bruns
This network shows the impact of papers produced by G Bruns. 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 Bruns. The network helps show where G Bruns may publish in the future.
Co-authors
The 25 scholars most cited alongside G Bruns, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1965 | 222 | |
| 2 | 1983 | 108 | |
| 3 | 1989 | 97 | |
| 4 | 1991 | 97 | |
| 5 | 1994 | 97 | |
| 6 | 1988 | 92 | |
| 7 | 1985 | 75 | |
| 8 | 1986 | 63 | |
| 9 | 1964 | 56 | |
| 10 | 1988 | 47 | |
| 11 | 1983 | 41 | |
| 12 | 1986 | 26 | |
| 13 | 1988 | 21 | |
| 14 | 1991 | 19 | |
| 15 | 1965 | 18 | |
| 16 | 1990 | 16 | |
| 17 | 1985 | 9 | |
| 18 | 1985 | 5 | |
| 19 | 1995 | 5 | |
| 20 | 2008 | 3 |
About G Bruns
G Bruns is a scholar working on Molecular Biology, Genetics, Neurology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), Molecular Biology Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Microtubule and mitosis dynamics (2 papers), Fungal and yeast genetics research (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Cell Biology (195 citations), Molecular Biology (752 citations), Neurology (139 citations), Genetics (94 citations) and Genetics (200 citations). G Bruns has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Irving M. London, S.A. Latt, N Kanda, Rhona Schreck, Yosef Shiloh, Tim Donlon, Doris Karibian, Frederick W. Alt, David Baltimore and Shinji Kamada. Their work appears in journals such as Genomics, Human Genetics, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Nucleic Acids Research.
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.