Matthew D. Servinsky

479 citations
22 papers · 395 · h-index 11

Impact in

Papers in

Matthew D. Servinsky

20 papers receiving 389 citations

Peers

Matthew D. Servinsky
Comparison fields: 5 of 65
  • Biotechnology 41
  • Biomedical Engineering 199
  • Molecular Biology 293
  • Biophysics 15
  • Nutrition and Dietetics 35
Replace Hyewon Lee with:
Hyewon Lee South Korea
Nathaniel Roquet United States
Irisappan Ganesh South Korea
Reinis Rutkis Latvia
Thomas Schödl Germany
Kevin Chang United States
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Julio Berríos Chile
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Citations per field
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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 2010114
2 201361
3 201547
4 201529
5 201226
6 200726
7 201414
8 200513
9 201712
10 201210
11 201410
12 20137
13 20185
14 20185
15 20164
16 20053
17 20253
18
Development of molecular and cellular biomarkers of pain.
20073
19 20152
20 20131

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 395 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Genetics and Biotechnology (4 papers), Plant nutrient uptake and metabolism (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Biotechnology (41 citations), Biomedical Engineering (199 citations), Molecular Biology (293 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, Jessica L. Terrell, Hsuan‐Chen Wu, Douglas Julin, Katherine L. Germane, Gregory F. Payne, David N. Quan and Amin Zargar. Their work appears in journals such as Microbiology, Journal of Industrial Microbiology & Biotechnology, Journal of Bacteriology, The ISME Journal and Nature Communications.

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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