Don C. Vacek

730 citations
19 papers · 551 indexed · h-index 12
Topics
Insect behavior and control techniques (8 papers)Entomopathogenic Microorganisms in Pest Control (7 papers)Insect-Plant Interactions and Control (6 papers)

In The Last Decade

Don C. Vacek

19 papers receiving 499 citations

Peers

Don C. Vacek
Comparison fields: 5 of 50
  • Insect Science 445
  • Plant Science 199
  • Molecular Biology 124
  • Ecology, Evolution, Behavior and Systematics 98
  • Ecology 53
Replace N. K. Krishna Kumar with:
N. K. Krishna Kumar India
Gabriel Otero-Colina Mexico
B. Saratchandra India
Kyeong‐Yeoll Lee South Korea
P.J. Wigley New Zealand
Pavel Ryšánek Czechia
W. Otieno Kenya
Kyung San Choi South Korea
P. A. Burnett Canada
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Don C. Vacek relative to N. K. Krishna Kumar India N. K. Krishna Kumar's profile →
Citations per field
00.5×1.5×
N. K. Krishna Kumar · 1×
Citations per year

Countries citing papers authored by Don C. Vacek

Since Specialization
Citations

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

Fields of papers citing papers by Don C. Vacek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don C. Vacek. 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 Don C. Vacek. The network helps show where Don C. Vacek may publish in the future.

Co-authorship network of co-authors of Don C. Vacek

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 9
2 6
3 30
4 13
5 72
6 163
7
3
8 64
9
Predictive and empirical evaluation for parasitoids of Bemisia tabaci (Biotype 'B'), based on morphological and molecular systematics.
13
10
Using randomly amplified polymorphic DNA polymerase chain reaction (RAPD-PCR) to match natural enemies to their host plant.
3
11 46
12 9
13 18
14 18
15 19
16 25
17 28
18
THE MICROBIAL ECOLOGY OF THE HOST PLANTS OF DROSOPHILA MOJAVENSIS
11
19
The yeast associated with some Drosophila breeding substrates in the Tucson, Arizona, area
1

About Don C. Vacek

Don C. Vacek is a scholar working on Insect Science, Biotechnology and Plant Science, having authored 19 papers that have together received 551 indexed citations. Recurring topics across this work include Insect behavior and control techniques (8 papers), Entomopathogenic Microorganisms in Pest Control (7 papers) and Insect-Plant Interactions and Control (6 papers). The work is most often cited by research in Insect Science (445 citations), Endocrinology (43 citations) and Plant Science (199 citations). Don C. Vacek has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include John J. Peloquin, Thomas Miller, Lloyd E. Wendel, William T. Starmer, John A. Goolsby, A. A. Kirk, Matthew A. Ciomperlik, J. S. F. Barker, William B. Heed and John Speese. Their work appears in journals such as Applied and Environmental Microbiology, Oecologia and Microbial Ecology.

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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