Matthew D. Servinsky

489 citations
22 papers · 400 · h-index 11

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Biofuel production and bioconversion 7

Matthew D. Servinsky

21 papers receiving 394 citations

Peers

Matthew D. Servinsky
Comparison fields: 5 of 64
  • Biotechnology 37
  • Biomedical Engineering 186
  • Molecular Biology 284
  • Biophysics 15
  • Nutrition and Dietetics 35
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Citations per year

Countries citing papers authored by Matthew D. Servinsky

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Servinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010116
2 201361
3 201548
4 201529
5 200726
6 201226
7 201414
8 200513
9 201712
10 201210
11 201410
12 20137
13 20185
14 20185
15 20164
16 20254
17 20053
18
Development of molecular and cellular biomarkers of pain.
20073
19 20152
20 20251

About Matthew D. Servinsky

Matthew D. Servinsky is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Nutrition and Dietetics and Plant Science, having authored 22 papers that have together received 400 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (7 papers), Bacterial biofilms and quorum sensing (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Bacterial Genetics and Biotechnology (4 papers), Plant nutrient uptake and metabolism (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Microbial Metabolites in Food Biotechnology (2 papers). The work is most often cited by research in Biotechnology (37 citations), Biomedical Engineering (186 citations), Molecular Biology (284 citations), Biophysics (15 citations) and Nutrition and Dietetics (35 citations). Matthew D. Servinsky has collaborated with scholars based in United States. Frequent co-authors include Christian Sund, Chen‐Yu Tsao, William E. Bentley, Hsuan‐Chen Wu, Jessica L. Terrell, Douglas Julin, Katherine L. Germane, Gregory F. Payne, Amin Zargar and David N. Quan. Their work appears in journals such as Microbiology, Applied Microbiology and Biotechnology, Nature Communications, Carcinogenesis and ACS Synthetic Biology.

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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