M. E. Vayda

2.0k citations
67 papers · 1.7k · h-index 25

Impact in

    • Plant Pathogens and Resistance
    • Plant Disease Resistance and Genetics
    • Potato Plant Research

Papers in

    • Genetically Modified Organisms Research 11
    • Plant Pathogens and Resistance 7
    • Plant Disease Resistance and Genetics 5
    • Plant responses to water stress 4
    • Potato Plant Research 22

M. E. Vayda

66 papers receiving 1.6k citations

Peers

M. E. Vayda
Comparison fields: 5 of 92
  • Plant Science 913
  • Food Science 309
  • Genetics 375
  • Molecular Biology 883
  • Biotechnology 97
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Jennifer Tsai United States
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Citations per field
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Citations per year

Countries citing papers authored by M. E. Vayda

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Vayda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Vayda. 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 M. E. Vayda. The network helps show where M. E. Vayda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The molecular and cellular biology of the potato.
1990199
2 1997110
3 198395
4 198576
5 198663
6 198660
7 199158
8 199352
9
Stress-induced alterations in carbohydrate metabolism.
199052
10 199451
11 199048
12 199147
13 199447
14 199746
15
Polyphenol oxidase in potato tubers.
199445
16 198643
17 199537
18
CROSS POLLINATION FROM GENETICALLY ENGINEERED CORN: WIND TRANSPORT AND SEED SOURCE
200136
19 200335
20 199829

About M. E. Vayda

M. E. Vayda is a scholar working on Plant Science, Food Science, Molecular Biology, Ecology and Genetics, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Potato Plant Research (22 papers), Genetically Modified Organisms Research (11 papers), Virus-based gene therapy research (7 papers), Plant Pathogens and Resistance (7 papers), Physiological and biochemical adaptations (6 papers), Plant Disease Resistance and Genetics (5 papers), Hemoglobin structure and function (5 papers) and Plant responses to water stress (4 papers). The work is most often cited by research in Plant Science (913 citations), Food Science (309 citations), Genetics (375 citations), Molecular Biology (883 citations) and Biotechnology (97 citations). M. E. Vayda has collaborated with scholars based in United States, Germany and Slovakia. Frequent co-authors include S. J. Flint, William R. Belknap, Bruce D. Sidell, Pranam Chatterjee, Catherine Tesnière, Christine K. Shewmaker, Robert E. Cashon, Deena Small, Michael Freeling and Pradeep K. Chatterjee. Their work appears in journals such as Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, PLANT PHYSIOLOGY, Plant Molecular Biology, Journal of Virology and American Journal of Potato Research.

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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