John Gaska

49 total papers · 978 total citations
37 papers, 600 citations indexed

About

John Gaska is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, John Gaska has authored 37 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 20 papers in Agronomy and Crop Science and 6 papers in Soil Science. Recurrent topics in John Gaska's work include Soybean genetics and cultivation (20 papers), Legume Nitrogen Fixing Symbiosis (16 papers) and Crop Yield and Soil Fertility (10 papers). John Gaska is often cited by papers focused on Soybean genetics and cultivation (20 papers), Legume Nitrogen Fixing Symbiosis (16 papers) and Crop Yield and Soil Fertility (10 papers). John Gaska collaborates with scholars based in United States and Russia. John Gaska's co-authors include Shawn P. Conley, C. R. Grau, Spyridon Mourtzinis, James E. Kurle, David A. Marburger, W. L. Pedersen, Carl A. Bradley, E. S. Oplinger, Daren S. Mueller and Thierno Diallo and has published in prestigious journals such as Field Crops Research, Crop Science and Agronomy Journal.

In The Last Decade

John Gaska

34 papers receiving 571 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
John Gaska	528	204	71	70	53	37	600
J. Ascard	542 1.0×	218 1.1×	78 1.1×	42 0.6×	21 0.4×	46	584
R. D. Prew	498 0.9×	198 1.0×	154 2.2×	47 0.7×	57 1.1×	28	614
Clyde L. Elmore	463 0.9×	99 0.5×	65 0.9×	41 0.6×	34 0.6×	44	546
Brigitte Dorn	399 0.8×	150 0.7×	144 2.0×	58 0.8×	127 2.4×	19	541
Sandra Wayman	360 0.7×	236 1.2×	102 1.4×	39 0.6×	21 0.4×	22	528
Chae‐In Na	455 0.9×	111 0.5×	48 0.7×	53 0.8×	99 1.9×	25	592
D. Nwaga	424 0.8×	62 0.3×	119 1.7×	45 0.6×	35 0.7×	35	523
P. J. Wiatrak	426 0.8×	236 1.2×	163 2.3×	54 0.8×	13 0.2×	34	559
Milica Mihajlović	413 0.8×	131 0.6×	86 1.2×	137 2.0×	180 3.4×	45	512
H R Rahimian Mashhadi	487 0.9×	179 0.9×	58 0.8×	78 1.1×	12 0.2×	69	576

Countries citing papers authored by John Gaska

Since Specialization

Citations

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

Fields of papers citing papers by John Gaska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Gaska

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

All Works

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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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