Michelle Dziejman
- Endocrinology top 0.1%
- Immunology top 1%
- Molecular Biology top 10%
- Food Science top 1%
- Genetics top 5%
- Co-authors
- John J. MekalanosAndrew D. LusterJennifer DufourThomas E. LaneBonnie L. BasslerMelissa B. MillerRussell E. VanceJun Zhu
- Topics
- Vibrio bacteria research studies (23 papers)Aquaculture disease management and microbiota (12 papers)Salmonella and Campylobacter epidemiology (9 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of ImmunologyJournal of Virology
- Partner nations
- United StatesBangladeshCzechia
In The Last Decade
Michelle Dziejman
30 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Endocrinology 1.8k
- Immunology 1.7k
- Molecular Biology 1.0k
- Food Science 582
- Genetics 472
Countries citing papers authored by Michelle Dziejman
This map shows the geographic impact of Michelle Dziejman'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 Dziejman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Dziejman more than expected).
Fields of papers citing papers by Michelle Dziejman
This network shows the impact of papers produced by Michelle Dziejman. 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 Dziejman. The network helps show where Michelle Dziejman may publish in the future.
Co-authorship network of co-authors of Michelle Dziejman
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Dziejman. A scholar is included among the top collaborators of Michelle Dziejman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle Dziejman. Michelle Dziejman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 32 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 135 | |
| 8 | 79 | |
| 9 | 84 | |
| 10 | 167 | |
| 11 | 192 | |
| 12 | 148 | |
| 13 | 352 | |
| 14 | IFN-γ-Inducible Protein 10 (IP-10; CXCL10)-Deficient Mice Reveal a Role for IP-10 in Effector T Cell Generation and Traffickingbreakdown → | 904 |
| 15 | Quorum-sensing regulators control virulence gene expression in Vibrio choleraebreakdown → | 649 |
| 16 | 18 | |
| 17 | 320 | |
| 18 | 157 | |
| 19 | 40 | |
| 20 | 12 |
About Michelle Dziejman
Michelle Dziejman is a scholar working on Endocrinology, Immunology and Food Science, having authored 30 papers that have together received 3.7k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (23 papers), Aquaculture disease management and microbiota (12 papers) and Salmonella and Campylobacter epidemiology (9 papers). The work is most often cited by research in Endocrinology (1.8k citations), Immunology (1.7k citations) and Molecular Medicine (286 citations). Michelle Dziejman has collaborated with scholars based in United States, Bangladesh and Czechia. Frequent co-authors include John J. Mekalanos, Andrew D. Luster, Jennifer Dufour, Thomas E. Lane, Bonnie L. Bassler, Melissa B. Miller, Russell E. Vance, Jun Zhu, John F. Heidelberg and Shah M. Faruque. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.
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.