M. A. Saghai Maroof

16.0k total citations · 3 hit papers
119 papers, 12.1k citations indexed

About

M. A. Saghai Maroof is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, M. A. Saghai Maroof has authored 119 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Plant Science, 33 papers in Genetics and 13 papers in Molecular Biology. Recurrent topics in M. A. Saghai Maroof's work include Plant Disease Resistance and Genetics (45 papers), Soybean genetics and cultivation (37 papers) and Wheat and Barley Genetics and Pathology (36 papers). M. A. Saghai Maroof is often cited by papers focused on Plant Disease Resistance and Genetics (45 papers), Soybean genetics and cultivation (37 papers) and Wheat and Barley Genetics and Pathology (36 papers). M. A. Saghai Maroof collaborates with scholars based in United States, China and South Korea. M. A. Saghai Maroof's co-authors include R. W. Allard, Richard A. Jorgensen, K. M. Soliman, G. R. Buss, Qifa Zhang, R. M. Biyashev, Chao Xu, Peter J. Maughan, Guliang Yang and Yanbi Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

M. A. Saghai Maroof

118 papers receiving 11.1k citations

Hit Papers

Ribosomal DNA spacer-length polymorphisms in barley: mend... 1984 2026 1998 2012 1984 1997 1994 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Saghai Maroof United States 48 10.6k 4.2k 2.8k 751 739 119 12.1k
Andreas Graner Germany 60 12.4k 1.2× 5.0k 1.2× 4.4k 1.6× 589 0.8× 970 1.3× 176 14.9k
Antoni Rafalski United States 33 7.3k 0.7× 3.7k 0.9× 3.3k 1.2× 647 0.9× 1.1k 1.5× 48 9.7k
Andrzej Kilian Australia 57 8.9k 0.8× 4.6k 1.1× 2.8k 1.0× 728 1.0× 919 1.2× 232 12.0k
Nevin D. Young United States 58 11.1k 1.1× 2.0k 0.5× 3.8k 1.4× 583 0.8× 584 0.8× 130 12.6k
Martin W. Ganal Germany 62 16.3k 1.5× 6.1k 1.4× 3.8k 1.4× 891 1.2× 643 0.9× 144 17.5k
Steven J. Knapp United States 60 9.2k 0.9× 3.3k 0.8× 3.1k 1.1× 719 1.0× 850 1.2× 214 10.9k
D. J. Mackill Philippines 52 10.6k 1.0× 4.1k 1.0× 1.7k 0.6× 390 0.5× 504 0.7× 100 11.5k
Nils Stein Germany 58 10.1k 1.0× 3.3k 0.8× 3.8k 1.4× 280 0.4× 446 0.6× 216 11.3k
Ilan Paran Israel 39 7.5k 0.7× 1.9k 0.5× 3.1k 1.1× 604 0.8× 469 0.6× 68 9.0k
Robbie Waugh United Kingdom 76 15.8k 1.5× 5.9k 1.4× 4.7k 1.7× 974 1.3× 1.0k 1.4× 282 18.2k

Countries citing papers authored by M. A. Saghai Maroof

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Saghai Maroof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Saghai Maroof. 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. A. Saghai Maroof. The network helps show where M. A. Saghai Maroof may publish in the future.

Co-authorship network of co-authors of M. A. Saghai Maroof

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

All Works

20 of 20 papers shown
2.
Biyashev, R. M., Clarice Schmidt, Qijian Song, et al.. (2024). Comparison of Rps loci toward isolates, singly and combined inocula, of Phytophthora sojae in soybean PI 407985, PI 408029, PI 408097, and PI424477. Frontiers in Plant Science. 15. 1394676–1394676. 4 indexed citations
3.
Biyashev, R. M., et al.. (2023). Identification of quantitative trait loci controlling soybean seed protein and oil content. PLoS ONE. 18(6). e0286329–e0286329. 10 indexed citations
4.
Raboy, Victor, et al.. (2021). Network Inference of Transcriptional Regulation in Germinating Low Phytic Acid Soybean Seeds. Frontiers in Plant Science. 12. 708286–708286. 3 indexed citations
5.
Kachroo, Aardra, et al.. (2020). A transcriptional regulatory network of Rsv3-mediated extreme resistance against Soybean mosaic virus. PLoS ONE. 15(4). e0231658–e0231658. 10 indexed citations
6.
Van, Kyujung, William Rolling, R. M. Biyashev, et al.. (2020). Mining germplasm panels and phenotypic datasets to identify loci for resistance to Phytophthora sojae in soybean. The Plant Genome. 14(1). e20063–e20063. 16 indexed citations
7.
Tamang, Bishal G., et al.. (2014). Physiological and transcriptomic characterization of submergence and reoxygenation responses in soybean seedlings. Plant Cell & Environment. 37(10). 2350–2365. 97 indexed citations
8.
Maroof, M. A. Saghai, et al.. (2010). Fine Mapping and Candidate Gene Discovery of the Soybean Mosaic Virus Resistance Gene, Rsv4. The Plant Genome. 3(1). 71 indexed citations
9.
Zhou, Lecong, Santiago X. Mideros, Lei Bao, et al.. (2009). Infection and genotype remodel the entire soybean transcriptome. BMC Genomics. 10(1). 49–49. 46 indexed citations
10.
Mammadov, Jafar, W. S. Brooks, Carl A. Griffey, & M. A. Saghai Maroof. (2007). Validating molecular markers for barley leaf rust resistance genes Rph5 and Rph7. Plant Breeding. 126(5). 458–463. 8 indexed citations
11.
Hayes, A. J. & M. A. Saghai Maroof. (2000). Targeted resistance gene mapping in soybean using modified AFLPs. Theoretical and Applied Genetics. 100(8). 1279–1283. 54 indexed citations
12.
Wang, Shiping, et al.. (1998). Distribution of Simple Sequence Repeat and AFLP Markers in Molecular Linkage Map of Rice. Journal of Integrative Plant Biology. 40(7). 8 indexed citations
13.
Maroof, M. A. Saghai, et al.. (1998). Genetic Diversity of Rice Detected by a Multiple Copy Microsatellite DNA Marker. 20(2). 27–30. 6 indexed citations
14.
Zhang, Q., et al.. (1997). Molecularmarker diversity and hybrid sterility in indica-japonica rice crosses. Theoretical and Applied Genetics. 95(1-2). 112–118. 52 indexed citations
15.
Maroof, M. A. Saghai, et al.. (1996). Identification of quantitative trait loci controlling resistance to gray leaf spot disease in maize. Theoretical and Applied Genetics. 93(4). 539–546. 80 indexed citations
16.
Liu, K. D., et al.. (1996). Extraordinarily polymorphic ribosomal DNA in wild and cultivated rice. Genome. 39(6). 1109–1116. 21 indexed citations
17.
Yu, Yanbi, M. A. Saghai Maroof, & G. R. Buss. (1996). Divergence and allelomorphic relationship of a soybean virus resistance gene based on tightly linked DNA microsatellite and RFLP markers. Theoretical and Applied Genetics. 92(1). 64–69. 27 indexed citations
18.
Zehr, B. E., et al.. (1992). Use of RFLP markers to search for alleles in a maize population for improvement of an elite hybrid. Theoretical and Applied Genetics. 83-83(6-7). 903–911. 32 indexed citations
19.
Maroof, M. A. Saghai, et al.. (1992). Associations between nuclear loci and chloroplast DNA genotypes in wild barley.. Genetics. 131(1). 225–231. 15 indexed citations
20.
Neale, David B., et al.. (1988). Chloroplast DNA diversity in populations of wild and cultivated barley.. Genetics. 120(4). 1105–1110. 83 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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