M J Gething
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Immunology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 11
- Glycosylation and Glycoproteins Research 10
- Heat shock proteins research 7
- Fungal and yeast genetics research 5
- Epidemiology 14
- Influenza Virus Research Studies 13
- Co-authors
- Joseph Sambrook (28 shared papers)Joe Sambrook (11 shared papers)J White (3 shared papers)Michael D. Waterfield (4 shared papers)Kazutoshi Mori (2 shared papers)Kenji Kohno (2 shared papers)E L Madison (6 shared papers)Carolyn A. Doyle (3 shared papers)
- Journals
- The Journal of Cell Biology (9 papers)Journal of Biological Chemistry (8 papers)Proceedings of the National Academy of Sciences (5 papers)Molecular and Cellular Biology (4 papers)The EMBO Journal (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
M J Gething
54 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 99
- Cell Biology 997
- Immunology 787
- Molecular Biology 2.5k
- Epidemiology 1.1k
- Hematology 350
Countries citing papers authored by M J Gething
This map shows the geographic impact of M J Gething'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 M J Gething with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M J Gething more than expected).
Fields of papers citing papers by M J Gething
This network shows the impact of papers produced by M J Gething. 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 M J Gething. The network helps show where M J Gething may publish in the future.
Co-authors
The 25 scholars most cited alongside M J Gething, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 318 | |
| 2 | 1986 | 284 | |
| 3 | 1994 | 250 | |
| 4 | 1978 | 222 | |
| 5 | 1993 | 220 | |
| 6 | 1992 | 211 | |
| 7 | 1993 | 138 | |
| 8 | 1985 | 127 | |
| 9 | 1990 | 123 | |
| 10 | 1987 | 112 | |
| 11 | 1993 | 110 | |
| 12 | 1986 | 101 | |
| 13 | 1988 | 96 | |
| 14 | 1986 | 96 | |
| 15 | 1991 | 89 | |
| 16 | 1986 | 85 | |
| 17 | 1988 | 85 | |
| 18 | 1978 | 84 | |
| 19 | 1985 | 84 | |
| 20 | 1977 | 81 |
About M J Gething
M J Gething is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Cell Biology, having authored 54 papers that have together received 4.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), RNA and protein synthesis mechanisms (11 papers), Glycosylation and Glycoproteins Research (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Protease and Inhibitor Mechanisms (8 papers), Heat shock proteins research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Cell Biology (997 citations), Immunology (787 citations), Molecular Biology (2.5k citations), Epidemiology (1.1k citations) and Hematology (350 citations). M J Gething has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Joseph Sambrook, Joe Sambrook, J White, Michael D. Waterfield, Kazutoshi Mori, Kenji Kohno, E L Madison, Carolyn A. Doyle, Robert W. Doms and A Fourie. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and The EMBO Journal.
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.