Matthew Schmerer

943 citations
27 papers · 544 · h-index 14

Impact in

    • Reproductive tract infections research
    • Microbial infections and disease research
    • Bacterial Infections and Vaccines
  • Ecology top 10%
    • Bacteriophages and microbial interactions

Papers in

    • Reproductive tract infections research 13
    • Bacterial Infections and Vaccines 7
    • Pluripotent Stem Cells Research 2

Matthew Schmerer

26 papers receiving 539 citations

Peers

Matthew Schmerer
Comparison fields: 5 of 65
  • Microbiology 170
  • Ecology 245
  • Endocrinology 35
  • Molecular Medicine 22
  • Genetics 73
Replace Donna Perkins-Balding with:
Donna Perkins-Balding United States
Tomokazu Takano Japan
R. Craig Findly United States
Agnès Vallier France
Antônio Augusto Mendes Maia Brazil
Sarah Sharp United Kingdom
Liqun Xia China
Zhen Cao United States
Gregory E. Jordan United Kingdom
Dominik Stappert Germany
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Citations per field
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Donna Perkins-Balding · 1×
Citations per year

Countries citing papers authored by Matthew Schmerer

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Schmerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Schmerer. 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 Matthew Schmerer. The network helps show where Matthew Schmerer may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew Schmerer, 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 Matthew Schmerer Line = papers co-authored together Matthew Schmerer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014107
2 201496
3 201947
4 201933
5 200331
6 201529
7 201418
8 201316
9 201916
10 202015
11 201515
12 202114
13 202314
14 201913
15 200113
16 201313
17 200912
18 200610
19 20109
20 20206

About Matthew Schmerer

Matthew Schmerer is a scholar working on Microbiology, Molecular Biology, Physiology, Ecology and Genetics, having authored 27 papers that have together received 544 indexed citations. Recurring topics across this work include Reproductive tract infections research (13 papers), Bacterial Infections and Vaccines (7 papers), Syphilis Diagnosis and Treatment (5 papers), Bacteriophages and microbial interactions (4 papers), Marine Invertebrate Physiology and Ecology (3 papers), Evolution and Genetic Dynamics (3 papers), Leech Biology and Applications (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Microbiology (170 citations), Ecology (245 citations), Endocrinology (35 citations), Molecular Medicine (22 citations) and Genetics (73 citations). Matthew Schmerer has collaborated with scholars based in United States, France and Canada. Frequent co-authors include James J. Bull, Ian J. Molineux, Bruce R. Levin, Waqas Chaudhry, Christina S. Vegge, Todd Evans, Marty Shankland, Daniel I. Bolnick, Ellen N. Kersh and Aryeh Warmflash. Their work appears in journals such as PLoS ONE, Blood, Developmental Biology, Antimicrobial Agents and Chemotherapy and Sexually Transmitted Diseases.

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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