D. Mott

647 citations
12 papers · 353 · h-index 9

Impact in

Papers in

    • Berry genetics and cultivation research 4
    • Plant Physiology and Cultivation Studies 2
    • Horticultural and Viticultural Research 2
    • Powdery Mildew Fungal Diseases 1
    • Plant Gene Expression Analysis 2

D. Mott

12 papers receiving 341 citations

Peers

D. Mott
Comparison fields: 5 of 52
  • Process Chemistry and Technology 21
  • Animal Science and Zoology 69
  • Food Science 120
  • Analytical Chemistry 50
  • Biochemistry 25
Replace S. Stawicki with:
S. Stawicki Poland
Mogens T. Jensen Denmark
Anastasia Lytou Greece
Joëlle Grua-Priol France
Daniel Kadow Germany
Lidija Strojnik Slovenia
Camille Knockaërt France
Andrés Martín-Gómez Spain
Graziano Sani Italy
Artemis P. Louppis Greece
D. Mott relative to S. Stawicki Poland S. Stawicki's profile →
Citations per field
00.5×2×3×3.5×
S. Stawicki · 1×
Citations per year

Countries citing papers authored by D. Mott

Since Specialization
Citations

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

Fields of papers citing papers by D. Mott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200561
2 200559
3 200659
4 200341
5 200435
6 200631
7 199728
8 202117
9 202210
10 20188
11 20062
12 20042

About D. Mott

D. Mott is a scholar working on Plant Science, Molecular Biology, Food Science, Biomedical Engineering and Animal Science and Zoology, having authored 12 papers that have together received 353 indexed citations. Recurring topics across this work include Berry genetics and cultivation research (4 papers), Fermentation and Sensory Analysis (3 papers), Advanced Chemical Sensor Technologies (3 papers), Plant Physiology and Cultivation Studies (2 papers), Plant Gene Expression Analysis (2 papers), Meat and Animal Product Quality (2 papers), Horticultural and Viticultural Research (2 papers) and Powdery Mildew Fungal Diseases (1 paper). The work is most often cited by research in Process Chemistry and Technology (21 citations), Animal Science and Zoology (69 citations), Food Science (120 citations), Analytical Chemistry (50 citations) and Biochemistry (25 citations). D. Mott has collaborated with scholars based in Austria, Italy and Poland. Frequent co-authors include Franco Biasioli, Flavia Gasperi, Eugenio Aprea, T.D. Märk, Federico Marini, G. Savini, Pablo M. Granitto, Cesare Furlanello, Isabella Endrizzi and T W van der Mark. Their work appears in journals such as Biologia Plantarum, Sensors and Actuators B Chemical, Horticulturae, Journal of Agricultural and Food Chemistry and Applied Sciences.

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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