Michelle E. Maxson

1.2k citations
24 papers · 834 · h-index 17

Impact in

    • Vibrio bacteria research studies
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism

Papers in

    • Cellular transport and secretion 7
    • Yersinia bacterium, plague, ectoparasites research 4
    • Bacterial Genetics and Biotechnology 4

Michelle E. Maxson

23 papers receiving 827 citations

Peers

Michelle E. Maxson
Comparison fields: 5 of 101
  • Endocrinology 80
  • Physiology 61
  • Infectious Diseases 214
  • Cell Biology 157
  • Epidemiology 244
Replace Leigh A. Baxt with:
Leigh A. Baxt United States
Cristina Lourdes Vázquez Argentina
Caroline Barisch Switzerland
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Lara J. Kohler United States
Felipe Carlos Martín Zoppino Argentina
Varadharajan Sundaramurthy India
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Citations per year

Countries citing papers authored by Michelle E. Maxson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014194
2 200471
3 201856
4 201854
5 200650
6 200646
7 200646
8 202246
9 201843
10 202138
11 201329
12 202127
13 201924
14 200624
15 202123
16 202419
17 200516
18 20229
19 20238
20 20204

About Michelle E. Maxson

Michelle E. Maxson is a scholar working on Cell Biology, Genetics, Infectious Diseases, Epidemiology and Molecular Biology, having authored 24 papers that have together received 834 indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Fungal Infections and Studies (5 papers), Antifungal resistance and susceptibility (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Bacterial Genetics and Biotechnology (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 (80 citations), Physiology (61 citations), Infectious Diseases (214 citations), Cell Biology (157 citations) and Epidemiology (244 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, Teresa R. O’Meara and Leah E. Cowen. Their work appears in journals such as mBio, Journal of Cell Science, Advances in experimental medicine and biology, Microbiology and Blood.

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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