Jeffrey W. Schertzer

1.4k citations
25 papers · 1.1k indexed · h-index 17

Jeffrey W. Schertzer

24 papers receiving 1.1k citations

Peers

Jeffrey W. Schertzer
Comparison fields: 5 of 93
  • Microbiology 403
  • Molecular Medicine 181
  • Endocrinology 167
  • Molecular Biology 739
  • Periodontics 34
Replace Michael J. Trimble with:
Michael J. Trimble Canada
Sarah R. Schooling Canada
Joey Kuok Hoong Yam Singapore
Lloyd S. Robinson United States
Leigh G. Monahan Australia
Gail G. Hardy United States
Mathias Müsken Germany
Valério R. F. Matias Canada
Jeffrey A. Melvin United States
Shanika A. Crusz United Kingdom
Jeffrey W. Schertzer relative to Michael J. Trimble Canada Michael J. Trimble's profile →
Citations per field
00.5×1.7×
Michael J. Trimble · 1×
Citations per year

Countries citing papers authored by Jeffrey W. Schertzer

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey W. Schertzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey W. Schertzer. 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 Jeffrey W. Schertzer. The network helps show where Jeffrey W. Schertzer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20228
4 202068
5 20191
6 20191
7 201976
8 20191
9 201824
10 201831
11 201869
12 201658
13 201552
14 201517
15 201375
16 2012167
17 2010120
18 201018
19 2009104
20 200427

About Jeffrey W. Schertzer

Jeffrey W. Schertzer is a scholar working on Microbiology, Endocrinology, Molecular Medicine, Molecular Biology and Genetics, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (12 papers), Bacterial Infections and Vaccines (11 papers), Lipid Membrane Structure and Behavior (10 papers), Bacterial Genetics and Biotechnology (7 papers), Microfluidic and Bio-sensing Technologies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Legionella and Acanthamoeba research (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Microbiology (403 citations), Molecular Medicine (181 citations), Endocrinology (167 citations), Molecular Biology (739 citations) and Periodontics (34 citations). Jeffrey W. Schertzer has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Marvin Whiteley, Marvin Whiteley, Paul R. Chiarot, Stacie A. Brown, Catalina Florez, Li Lu, Robert K. Ernst, Alexander M. Horspool, Julie E. Raab and Xin Yong. Their work appears in journals such as Soft Matter, mBio, Biophysical Journal, Molecular Microbiology and Scientific Reports.

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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