Michelle Dziejman

4.7k citations
30 papers · 3.7k indexed · 2 hit papers · h-index 19

Michelle Dziejman

30 papers receiving 3.6k citations

Hit Papers

Quorum-sensing regulators control virulence gene expressi...6492002202620102018250500750

Peers

Michelle Dziejman
Comparison fields: 5 of 123
  • Endocrinology 1.8k
  • Immunology 1.7k
  • Molecular Medicine 286
  • Food Science 582
  • Oncology 468
Replace Christine Josenhans with:
Christine Josenhans Germany
Hitomi Mimuro Japan
Simon Clare United Kingdom
Hisao Kurazono Japan
Hiroshi Ashida Japan
Christine Hale United Kingdom
Samantha Gruenheid Canada
Giovanni Suárez United States
Nemani V. Prasadarao United States
Fumitaka Hayashi United States
Michelle Dziejman relative to Christine Josenhans Germany Christine Josenhans's profile →
Citations per field
00.5×2.8×
Christine Josenhans · 1×
Citations per year

Countries citing papers authored by Michelle Dziejman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Michelle Dziejman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle Dziejman Line = papers co-authored together Michelle Dziejman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20203
3 201932
4 201311
5 201210
6 20115
7 2007135
8 200779
9 200584
10 2004167
11 2003192
12 2003148
13 2002352
14
IFN-γ-Inducible Protein 10 (IP-10; CXCL10)-Deficient Mice Reveal a Role for IP-10 in Effector T Cell Generation and Traffickingbreakdown →
2002904
15
Quorum-sensing regulators control virulence gene expression in Vibrio choleraebreakdown →
2002649
16 199918
17 1999320
18 1998157
19 199440
20 199012

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), Salmonella and Campylobacter epidemiology (9 papers), Escherichia coli research studies (7 papers), Bacterial biofilms and quorum sensing (5 papers), Child Nutrition and Water Access (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Immunotherapy and Immune Responses (3 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.

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