Matthew N. Van Ert

1.9k citations
16 papers · 1.0k indexed · h-index 14
Topics
Bacillus and Francisella bacterial research (12 papers)Bacteriophages and microbial interactions (6 papers)Bacterial Genetics and Biotechnology (5 papers)

In The Last Decade

Matthew N. Van Ert

16 papers receiving 1000 citations

Peers

Matthew N. Van Ert
Comparison fields: 5 of 63
  • Molecular Biology 719
  • Genetics 444
  • Ecology 354
  • Epidemiology 144
  • Public Health, Environmental and Occupational Health 133
Replace Françoise Ramisse with:
Françoise Ramisse France
Leo J. Kenefic United States
Markus Antwerpen Germany
H. Nattermann Germany
Kimothy L. Smith United States
Pär Larsson Sweden
Yolande Hauck France
Josée Vaissaire France
Jason Farlow United States
Amy J. Vogler United States
Matthew N. Van Ert relative to Françoise Ramisse France Françoise Ramisse's profile →
Citations per field
00.5×1.5×2.4×
Françoise Ramisse · 1×
Citations per year

Countries citing papers authored by Matthew N. Van Ert

Since Specialization
Citations

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

Fields of papers citing papers by Matthew N. Van Ert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew N. Van Ert

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 11
2 58
3 107
4 50
5 32
6 25
7 84
8 59
9 13
10 41
11 30
12 243
13 202
14 26
15 35
16 22

About Matthew N. Van Ert

Matthew N. Van Ert is a scholar working on Genetics, Ecology and Biotechnology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (12 papers), Bacteriophages and microbial interactions (6 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Endocrinology (83 citations), Genetics (444 citations) and Ecology (354 citations). Matthew N. Van Ert has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Paul Keim, Lynn Huynh, Talima Pearson, David M. Wagner, Amy J. Vogler, W. Ryan Easterday, Tatum S. Simonson, Claire M. Fraser, Timothy D. Read and Jacques Ravel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Clinical Microbiology.

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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