Michelle E. Maxson
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in ⓘ
-
- Calcium signaling and nucleotide metabolism 4
- Erythrocyte Function and Pathophysiology 3
- Co-authors
- Sergio Grinstein (12 shared papers)Andrew J. Darwin (4 shared papers)Arturo Casadevall (2 shared papers)Óscar Zaragoza (2 shared papers)Jonathan Plumb (4 shared papers)Johannes Westman (3 shared papers)Emily Cook (1 shared paper)Ekaterina Dadachova (1 shared paper)
- Journals
- mBio (2 papers)Journal of Cell Science (2 papers)The Journal of Cell Biology (1 paper)Molecular Microbiology (1 paper)Journal of Bacteriology (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Michelle E. Maxson
21 papers receiving 779 citations
Peers
Comparison fields: 5 of 95
- Endocrinology 82
- Physiology 59
- Infectious Diseases 213
- Cell Biology 153
- Epidemiology 242
Countries citing papers authored by Michelle E. Maxson
This map shows the geographic impact of Michelle E. Maxson'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 Michelle E. Maxson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle E. Maxson more than expected).
Fields of papers citing papers by Michelle E. Maxson
This network shows the impact of papers produced by Michelle E. Maxson. 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 Michelle E. Maxson. The network helps show where Michelle E. Maxson may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle E. Maxson, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 182 | |
| 2 | 2004 | 70 | |
| 3 | 2018 | 54 | |
| 4 | 2018 | 53 | |
| 5 | 2006 | 48 | |
| 6 | 2006 | 46 | |
| 7 | 2006 | 44 | |
| 8 | 2018 | 42 | |
| 9 | 2022 | 41 | |
| 10 | 2021 | 36 | |
| 11 | 2013 | 28 | |
| 12 | 2021 | 24 | |
| 13 | 2019 | 24 | |
| 14 | 2006 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2005 | 16 | |
| 17 | 2024 | 15 | |
| 18 | 2023 | 7 | |
| 19 | 2020 | 4 | |
| 20 | 2024 | 3 |
About Michelle E. Maxson
Michelle E. Maxson is a scholar working on Physiology, Endocrinology, Cell Biology, Infectious Diseases and Microbiology, having authored 23 papers that have together received 785 indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Fungal Infections and Studies (5 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Bacterial Genetics and Biotechnology (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Antifungal resistance and susceptibility (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Endocrinology (82 citations), Physiology (59 citations), Infectious Diseases (213 citations), Cell Biology (153 citations) and Epidemiology (242 citations). Michelle E. Maxson has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Sergio Grinstein, Andrew J. Darwin, Arturo Casadevall, Óscar Zaragoza, Jonathan Plumb, Johannes Westman, Emily Cook, Ekaterina Dadachova, Leah E. Cowen and Julian R. Naglik. Their work appears in journals such as mBio, Journal of Cell Science, The Journal of Cell Biology, Molecular Microbiology and Journal of Bacteriology.
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.