Megan L. Mayer

1.5k citations
15 papers · 779 indexed · 2 hit papers · h-index 9
Topics
Bacteriophages and microbial interactions (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Lipid Membrane Structure and Behavior (3 papers)

In The Last Decade

Megan L. Mayer

15 papers receiving 776 citations

Hit Papers

Membrane fusion and immune evasion by the spike protein o...20212026202220242021202250100150

Peers

Megan L. Mayer
Comparison fields: 5 of 82
  • Molecular Biology 442
  • Infectious Diseases 322
  • Ecology 155
  • Immunology 102
  • Genetics 63
Replace Joshua S. Chappie with:
Joshua S. Chappie United States
G. Glenn Gregorio United States
Thibault Chaze France
Ravi K. Lokareddy United States
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Shihong Qiu United States
Linda Kohl France
Qianglin Fang China
Ivan N. Zheludev United States
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Megan L. Mayer relative to Joshua S. Chappie United States Joshua S. Chappie's profile →
Citations per field
00.5×
Joshua S. Chappie · 1×
Citations per year

Countries citing papers authored by Megan L. Mayer

Since Specialization
Citations

This map shows the geographic impact of Megan L. Mayer'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 Megan L. Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan L. Mayer more than expected).

Fields of papers citing papers by Megan L. Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan L. Mayer. 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 Megan L. Mayer. The network helps show where Megan L. Mayer may publish in the future.

Co-authorship network of co-authors of Megan L. Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Megan L. Mayer. A scholar is included among the top collaborators of Megan L. Mayer 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 Megan L. Mayer. Megan L. Mayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 26
3 55
4 3
5 50
6 59
7
Bacterial gasdermins reveal an ancient mechanism of cell deathbreakdown →
165
8 4
9 97
10
Membrane fusion and immune evasion by the spike protein of SARS-CoV-2 Delta variantbreakdown →
190
11 2
12 74
13 2
14 45
15
[Response in patients with melanoma to immunization using melanoma oncolysates of vaccine virus].
6

About Megan L. Mayer

Megan L. Mayer is a scholar working on Structural Biology, Animal Science and Zoology and Radiological and Ultrasound Technology, having authored 15 papers that have together received 779 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Infectious Diseases (322 citations), Structural Biology (15 citations) and Endocrinology (41 citations). Megan L. Mayer has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Alex G. Johnson, Philip J. Kranzusch, Gil Amitai, Rotem Sorek, Erez Yirmiya, B. Lowey, Jun Zhang, Sophia Rits‐Volloch, Yongfei Cai and Bing Chen. Their work appears in journals such as Nature, Science and Cell.

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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