Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Components of Resistance that Reduce the Rate of Epidemic Development
1979452 citationsJ. E. ParlevlietAnnual Review of Phytopathologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by J. E. Parlevliet
Since
Specialization
Citations
This map shows the geographic impact of J. E. Parlevliet'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 J. E. Parlevliet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. E. Parlevliet more than expected).
Fields of papers citing papers by J. E. Parlevliet
This network shows the impact of papers produced by J. E. Parlevliet. 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 J. E. Parlevliet. The network helps show where J. E. Parlevliet may publish in the future.
Co-authorship network of co-authors of J. E. Parlevliet
This figure shows the co-authorship network connecting the top 25 collaborators of J. E. Parlevliet.
A scholar is included among the top collaborators of J. E. Parlevliet 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 J. E. Parlevliet. J. E. Parlevliet is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Parlevliet, J. E., et al.. (1995). Recent studies on peanut bud necrosis disease : proceedings of a meeting, 20 Mar. 1995, ICRISAT Asia Center.2 indexed citations
4.
Parlevliet, J. E., et al.. (1995). Multi-environment testing for reduced incidence of peanut bud necrosis disease in India.. Socio-Environmental Systems Modeling. 47–54.3 indexed citations
Parlevliet, J. E. & J. G. Moseman. (1986). Inventory of Ethiopian barley lines for resistance to barley leaf rust.. Socio-Environmental Systems Modeling. 14(1). 1–6.5 indexed citations
Parlevliet, J. E., et al.. (1983). Report of the second TAC-Quinquennial review of the International Maize and Wheat Improvement Center (CIMMYT). Socio-Environmental Systems Modeling.4 indexed citations
13.
Parlevliet, J. E.. (1979). Aspects of and problems with horizontal resistance. Socio-Environmental Systems Modeling. 5. 1–10.2 indexed citations
14.
Parlevliet, J. E.. (1979). Components of resistance that reduce the rate of epidemic development [Plant breeding, pathogens, quantitative aspects of r-reducing and xo-reducing resistances, race-specific and race non-specific aspects].. Annual Review of Phytopathology.2 indexed citations
15.
Parlevliet, J. E.. (1979). The multiline approach in cereals to rusts; aspects, problems and possibilities. Indian Journal of Genetics and Plant Breeding (The). 39. 21–28.4 indexed citations
Parlevliet, J. E.. (1976). Breeding Pyrethrum in Kenya. Socio-Environmental Systems Modeling. 13(2). 48–54.10 indexed citations
19.
Parlevliet, J. E.. (1970). The effect of rainfall and altitude on the yield of pyrethrins from pyrethrum flowers in Kenya.. 16(3).5 indexed citations
20.
Parlevliet, J. E.. (1970). The effect of picking interval and flower head development on the pyrethrins content of different pyrethrum clones.. 10(4). 10–14.2 indexed citations
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.