Ian Garner
Impact in
- Periodontics top 2%
-
- Cardiomyopathy and Myosin Studies
Papers in
-
- RNA Research and Splicing 11
- Muscle Physiology and Disorders 9
- CRISPR and Genetic Engineering 7
- DNA Repair Mechanisms 6
- RNA and protein synthesis mechanisms 5
- Genetics 12
- Animal Genetics and Reproduction 9
- Virus-based gene therapy research 5
- Co-authors
- Margaret Buckingham (11 shared papers)David Sassoon (4 shared papers)Philippe Daubas (4 shared papers)Benoît Robert (4 shared papers)A. Cohen (4 shared papers)Jean‐Louis Guénet (2 shared papers)Alan Colman (4 shared papers)Paul J.R. Barton (5 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Nature Biotechnology (4 papers)Biotechnology and Genetic Engineering Reviews (1 paper)Developmental Biology (1 paper)Cell (1 paper)
- Partner nations
- United KingdomFranceGermany
In The Last Decade
Ian Garner
38 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 105
- Periodontics 114
- Cardiology and Cardiovascular Medicine 511
- Molecular Biology 1.6k
- Genetics 614
- Immunology and Allergy 41
Countries citing papers authored by Ian Garner
This map shows the geographic impact of Ian Garner'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 Ian Garner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Garner more than expected).
Fields of papers citing papers by Ian Garner
This network shows the impact of papers produced by Ian Garner. 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 Ian Garner. The network helps show where Ian Garner may publish in the future.
Co-authors
The 25 scholars most cited alongside Ian Garner, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 318 | |
| 2 | 1991 | 282 | |
| 3 | 1984 | 241 | |
| 4 | 1997 | 148 | |
| 5 | 1989 | 142 | |
| 6 | 1985 | 124 | |
| 7 | 1993 | 74 | |
| 8 | 1988 | 70 | |
| 9 | 1988 | 69 | |
| 10 | 1986 | 66 | |
| 11 | 1999 | 65 | |
| 12 | 2016 | 64 | |
| 13 | 1985 | 45 | |
| 14 | 1996 | 43 | |
| 15 | 1998 | 39 | |
| 16 | 1990 | 34 | |
| 17 | 1989 | 33 | |
| 18 | 1982 | 33 | |
| 19 | 1992 | 31 | |
| 20 | 1990 | 31 |
About Ian Garner
Ian Garner is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Oncology and Periodontics, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), Cardiomyopathy and Myosin Studies (10 papers), Animal Genetics and Reproduction (9 papers), Muscle Physiology and Disorders (9 papers), CRISPR and Genetic Engineering (7 papers), DNA Repair Mechanisms (6 papers), RNA and protein synthesis mechanisms (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Periodontics (114 citations), Cardiology and Cardiovascular Medicine (511 citations), Molecular Biology (1.6k citations), Genetics (614 citations) and Immunology and Allergy (41 citations). Ian Garner has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Margaret Buckingham, David Sassoon, Philippe Daubas, Benoît Robert, A. Cohen, Jean‐Louis Guénet, Alan Colman, Paul J.R. Barton, I. Wilmut and Iain Chapple. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology, Biotechnology and Genetic Engineering Reviews, Developmental Biology and Cell.
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.