Mary E. Deadman
Impact in
- Microbiology top 0.5%
- Bacterial Infections and Vaccines
- Microbial infections and disease research
- Endocrinology top 5%
Papers in
- Microbiology 23
- Bacterial Infections and Vaccines 23
- Genetics 11
- Bacterial Genetics and Biotechnology 11
- Co-authors
- E. Richard Moxon (15 shared papers)Derek W. Hood (21 shared papers)Joanna Poulton (8 shared papers)R M Gardiner (6 shared papers)James C. Richards (7 shared papers)J. Craig Venter (2 shared papers)Adèle Martin (5 shared papers)Katherine Makepeace (7 shared papers)
- Journals
- Molecular Microbiology (6 papers)Microbiology (5 papers)Carbohydrate Research (3 papers)Science Advances (2 papers)International Journal of Medical Microbiology (2 papers)
- Partner nations
- United KingdomSwedenCanada
In The Last Decade
Mary E. Deadman
43 papers receiving 2k citations
Peers
Comparison fields: 5 of 77
- Microbiology 723
- Endocrinology 92
- Immunology 297
- Molecular Biology 876
- Genetics 393
Countries citing papers authored by Mary E. Deadman
This map shows the geographic impact of Mary E. Deadman'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 Mary E. Deadman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Deadman more than expected).
Fields of papers citing papers by Mary E. Deadman
This network shows the impact of papers produced by Mary E. Deadman. 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 Mary E. Deadman. The network helps show where Mary E. Deadman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary E. Deadman, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 290 | |
| 2 | 1989 | 182 | |
| 3 | 1999 | 166 | |
| 4 | 1993 | 144 | |
| 5 | 2020 | 141 | |
| 6 | 1996 | 140 | |
| 7 | 2001 | 104 | |
| 8 | 1993 | 93 | |
| 9 | 1990 | 83 | |
| 10 | Germ-line deletions of mtDNA in mitochondrial myopathy. | 1991 | 61 |
| 11 | 2001 | 59 | |
| 12 | 2003 | 57 | |
| 13 | 2015 | 57 | |
| 14 | 2002 | 50 | |
| 15 | 2005 | 49 | |
| 16 | 1989 | 46 | |
| 17 | 1992 | 42 | |
| 18 | 2004 | 38 | |
| 19 | 2008 | 35 | |
| 20 | 2002 | 33 |
About Mary E. Deadman
Mary E. Deadman is a scholar working on Microbiology, Genetics, Organic Chemistry, Molecular Biology and Endocrinology, having authored 43 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (23 papers), Carbohydrate Chemistry and Synthesis (11 papers), Bacterial Genetics and Biotechnology (11 papers), Mitochondrial Function and Pathology (7 papers), T-cell and B-cell Immunology (6 papers), Glycosylation and Glycoproteins Research (6 papers), Escherichia coli research studies (4 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Microbiology (723 citations), Endocrinology (92 citations), Immunology (297 citations), Molecular Biology (876 citations) and Genetics (393 citations). Mary E. Deadman has collaborated with scholars based in United Kingdom, Sweden and Canada. Frequent co-authors include E. Richard Moxon, Derek W. Hood, Joanna Poulton, R M Gardiner, James C. Richards, J. Craig Venter, Adèle Martin, Katherine Makepeace, Michael P. Jennings and Nicola J. High. Their work appears in journals such as Molecular Microbiology, Microbiology, Carbohydrate Research, Science Advances and International Journal of Medical Microbiology.
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.