J. A. Percich

684 total citations
31 papers, 536 citations indexed

About

J. A. Percich is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. A. Percich has authored 31 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 18 papers in Cell Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. A. Percich's work include Plant Pathogens and Fungal Diseases (18 papers), Plant Disease Resistance and Genetics (18 papers) and Plant Disease Management Techniques (9 papers). J. A. Percich is often cited by papers focused on Plant Pathogens and Fungal Diseases (18 papers), Plant Disease Resistance and Genetics (18 papers) and Plant Disease Management Techniques (9 papers). J. A. Percich collaborates with scholars based in United States, Russia and Ireland. J. A. Percich's co-authors include Dean K. Malvick, Consuelo Estévez de Jensen, Peter Graham, J. C. Bienapfl, Robert F. Nyvall, C. R. Grau, James E. Kurle, Julie L. Lockwood, David W. Davis and Vincent A. Fritz and has published in prestigious journals such as Plant and Soil, Field Crops Research and Phytopathology.

In The Last Decade

J. A. Percich

30 papers receiving 481 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. A. Percich United States	15	493	208	52	45	37	31	536
L. A. Harrier United Kingdom	11	517 1.0×	101 0.5×	82 1.6×	46 1.0×	26 0.7×	18	560
V. W. L. Jordan United Kingdom	13	373 0.8×	143 0.7×	40 0.8×	80 1.8×	58 1.6×	46	435
O. Ziv Israel	11	447 0.9×	178 0.9×	27 0.5×	62 1.4×	45 1.2×	18	462
A. P. Nyczepir United States	16	672 1.4×	118 0.6×	60 1.2×	56 1.2×	27 0.7×	65	699
Austin K. Hagan United States	15	557 1.1×	140 0.7×	89 1.7×	68 1.5×	49 1.3×	79	615
Richard Latin United States	15	591 1.2×	253 1.2×	54 1.0×	74 1.6×	7 0.2×	46	661
Xiangling Fang China	13	470 1.0×	228 1.1×	79 1.5×	35 0.8×	9 0.2×	28	577
Christina H. Hagerty United States	12	445 0.9×	108 0.5×	83 1.6×	42 0.9×	38 1.0×	27	536
Valentina Španić Croatia	14	561 1.1×	155 0.7×	49 0.9×	39 0.9×	118 3.2×	70	616
Gilles Vismans Netherlands	4	739 1.5×	133 0.6×	166 3.2×	48 1.1×	40 1.1×	7	835

Countries citing papers authored by J. A. Percich

Since Specialization

Citations

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

Fields of papers citing papers by J. A. Percich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. A. Percich. 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. A. Percich. The network helps show where J. A. Percich may publish in the future.

Co-authorship network of co-authors of J. A. Percich

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

All Works

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20 of 20 papers shown

Bienapfl, J. C., Dean K. Malvick, & J. A. Percich. (2011). Specific molecular detection of Phytophthora sojae using conventional and real-time PCR. Fungal Biology. 115(8). 733–740. 28 indexed citations

Bienapfl, J. C., Dean K. Malvick, & J. A. Percich. (2010). First Report of Fusarium redolens Causing Root Rot of Soybean in Minnesota. Plant Disease. 94(8). 1069–1069. 22 indexed citations

Jensen, Consuelo Estévez de, et al.. (2004). Additive effect of soil bulk density and Fusarium solani on dry bean and soybean root rot. Phytopathology. 94(6). 144–144.

Wang, D., James E. Kurle, Consuelo Estévez de Jensen, & J. A. Percich. (2004). Radiometric assessment of tillage and seed treatment effect on soybean root rot caused by Fusarium spp. in central Minnesota. Plant and Soil. 258(1). 319–331. 17 indexed citations

Jensen, Consuelo Estévez de, James E. Kurle, & J. A. Percich. (2003). Integrated management of edaphic and biotic factors limiting yield of irrigated soybean and dry bean in Minnesota. Field Crops Research. 86(2-3). 211–224. 16 indexed citations

Jensen, Consuelo Estévez de, J. A. Percich, & Peter Graham. (2002). The effect of Bacillus subtilis and Rhizobium inoculation of dry bean seed on root rot severity and yield in Minnesota. 6 indexed citations

Jensen, Consuelo Estévez de, James E. Kurle, & J. A. Percich. (2002). Tillage and seed inoculation effects on bean and soybean root rot in two soils in Minnesota. 1 indexed citations

Malvick, Dean K. & J. A. Percich. (1999). Identification of Pisum sativum Germ Plasm with Resistance to Root Rot Caused by Multiple Strains of Aphanomyces euteiches. Plant Disease. 83(1). 51–54. 28 indexed citations

Nyvall, Robert F. & J. A. Percich. (1999). Development of Fungal Brown Spot and Spot Blotch on Cultivated Wild Rice in Minnesota. Plant Disease. 83(10). 936–938. 14 indexed citations

10.

Malvick, Dean K. & J. A. Percich. (1998). Genotypic and Pathogenic Diversity Among Pea-Infecting Strains of Aphanomyces euteiches from the Central and Western United States. Phytopathology. 88(9). 915–921. 33 indexed citations

11.

Davis, David W., Vincent A. Fritz, F. L. Pfleger, J. A. Percich, & Dean K. Malvick. (1995). MN 144, MN 313, and MN 314: Garden Pea Lines Resistant to Root Rot Caused by Aphanomyces euteiches Drechs.. HortScience. 30(3). 639–640. 27 indexed citations

12.

Nyvall, Robert F., et al.. (1994). Fungal brown spot of cultivated wild rice is two different diseases. Phytopathology. 84(10). 5 indexed citations

13.

Percich, J. A., et al.. (1987). Field Evaluation of Various Fungicides to Control Cercospora Leaf Spot of Sugarbeet, Caused by Benomyl-Resistant Strains. Journal of Sugarbeet Research. 24(1). 32–40. 3 indexed citations

14.

Percich, J. A., et al.. (1986). Survey and Screening of Benomyl Resistant Strains of Cercospora beticola in Minnesota and North Dakota. Journal of Sugarbeet Research. 23(3&4). 148–153. 3 indexed citations

15.

Percich, J. A., et al.. (1984). Early Infection Events of Bipolaris-Oryzae on Wild Rice. Phytopathology. 74(7). 884–885. 7 indexed citations

16.

Percich, J. A., et al.. (1984). Epidemiology and yield losses associated with fungal brown spot of wild rice. Phytopathology. 74(7). 2 indexed citations

17.

Oelke, E. A., et al.. (1982). Wild rice production in Minnesota. University of Minnesota Digital Conservancy (University of Minnesota). 32 indexed citations

18.

Percich, J. A.. (1982). Evaluation of Several Fungicides and Adjuvant Materials for Control of Brown Spot of Wild Rice. Plant Disease. 66(1). 1001–1001. 12 indexed citations

19.

Percich, J. A. & Julie L. Lockwood. (1978). Interaction of atrazine with soil microorganisms: population changes and accumulation. Canadian Journal of Microbiology. 24(10). 1145–1152. 15 indexed citations

20.

Percich, J. A.. (1975). Influence of Atrazine on the Severity of Fusarium Root Rot in Pea and Corn. Phytopathology. 65(2). 154–154. 9 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.

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