Michal Mudd
Impact in
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
- Epidemiology 24
- Autophagy in Disease and Therapy 20
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- Bacterial biofilms and quorum sensing 7
- Co-authors
- Vojo Deretić (35 shared papers)Michael J. Schurr (6 shared papers)Seong Won Choi (11 shared papers)Daniel W. Martin (4 shared papers)Ryan Peters (12 shared papers)Suresh Kumar (9 shared papers)J C Boucher (4 shared papers)Hongwei D. Yu (3 shared papers)
- Journals
- Journal of Bacteriology (7 papers)Autophagy (6 papers)The Journal of Cell Biology (4 papers)Developmental Cell (4 papers)Molecular Microbiology (2 papers)
- Partner nations
- United StatesNorwayUnited Kingdom
In The Last Decade
Michal Mudd
35 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 112
- Physiology 366
- Molecular Medicine 391
- Endocrinology 230
- Epidemiology 1.5k
- Cell Biology 496
Countries citing papers authored by Michal Mudd
This map shows the geographic impact of Michal Mudd'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 Michal Mudd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Mudd more than expected).
Fields of papers citing papers by Michal Mudd
This network shows the impact of papers produced by Michal Mudd. 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 Michal Mudd. The network helps show where Michal Mudd may publish in the future.
Co-authors
The 25 scholars most cited alongside Michal Mudd, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 348 | |
| 2 | 1993 | 332 | |
| 3 | 2016 | 262 | |
| 4 | 2019 | 249 | |
| 5 | 1997 | 225 | |
| 6 | 2018 | 205 | |
| 7 | 1995 | 149 | |
| 8 | 1996 | 135 | |
| 9 | 2015 | 117 | |
| 10 | 2018 | 115 | |
| 11 | 2019 | 108 | |
| 12 | 1996 | 103 | |
| 13 | 1993 | 96 | |
| 14 | 1994 | 89 | |
| 15 | 1996 | 86 | |
| 16 | 1998 | 72 | |
| 17 | 2017 | 71 | |
| 18 | 2020 | 68 | |
| 19 | 1997 | 57 | |
| 20 | 2022 | 54 |
About Michal Mudd
Michal Mudd is a scholar working on Epidemiology, Molecular Biology, Cell Biology, Genetics and Immunology, having authored 36 papers that have together received 3.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (20 papers), Bacterial biofilms and quorum sensing (7 papers), Bacterial Genetics and Biotechnology (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Calcium signaling and nucleotide metabolism (6 papers), Cellular transport and secretion (6 papers), Cystic Fibrosis Research Advances (5 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Physiology (366 citations), Molecular Medicine (391 citations), Endocrinology (230 citations), Epidemiology (1.5k citations) and Cell Biology (496 citations). Michal Mudd has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Vojo Deretić, Michael J. Schurr, Seong Won Choi, Daniel W. Martin, Ryan Peters, Suresh Kumar, J C Boucher, Hongwei D. Yu, Jingyue Jia and Terje Johansen. Their work appears in journals such as Journal of Bacteriology, Autophagy, The Journal of Cell Biology, Developmental Cell and Molecular 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.