Ali Srour

522 total citations
20 papers, 358 citations indexed

About

Ali Srour is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Ali Srour has authored 20 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 9 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in Ali Srour's work include Plant Pathogens and Fungal Diseases (9 papers), Nematode management and characterization studies (6 papers) and Soybean genetics and cultivation (6 papers). Ali Srour is often cited by papers focused on Plant Pathogens and Fungal Diseases (9 papers), Nematode management and characterization studies (6 papers) and Soybean genetics and cultivation (6 papers). Ali Srour collaborates with scholars based in United States, Egypt and India. Ali Srour's co-authors include Ahmad M. Fakhoury, Jason P. Bond, Arjun Subedi, Hala A. Ammar, David A. Lightfoot, Rachel L. Cook, Blaine Bartholomew, Mohamedi N. Kagalwala, Vamsi K. Gangaraju and Ahmed J. Afzal and has published in prestigious journals such as Molecular Cell, Brain Research and Frontiers in Microbiology.

In The Last Decade

Ali Srour

20 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Srour United States 11 251 101 96 52 36 20 358
Laura Verónica Hernández-Cuevas Mexico 13 375 1.5× 50 0.5× 108 1.1× 43 0.8× 23 0.6× 63 470
Tiantian Zhao China 13 210 0.8× 194 1.9× 30 0.3× 18 0.3× 20 0.6× 39 418
Fernanda de Carvalho Brazil 9 213 0.8× 17 0.2× 37 0.4× 52 1.0× 20 0.6× 18 288
Jennifer R. Larson United States 9 130 0.5× 170 1.7× 67 0.7× 11 0.2× 39 1.1× 15 348
Gabriela Quiroga Spain 10 435 1.7× 67 0.7× 41 0.4× 48 0.9× 27 0.8× 16 552
Jay K Goldberg United States 7 338 1.3× 89 0.9× 50 0.5× 11 0.2× 41 1.1× 15 448
Amanda F. Currie United Kingdom 6 223 0.9× 27 0.3× 94 1.0× 29 0.6× 27 0.8× 10 302
Yuxing An China 9 143 0.6× 52 0.5× 16 0.2× 26 0.5× 23 0.6× 25 240
Samad Ashrafi Germany 11 254 1.0× 56 0.6× 107 1.1× 5 0.1× 25 0.7× 29 351
Yuwei Hu China 9 161 0.6× 107 1.1× 31 0.3× 13 0.3× 21 0.6× 20 261

Countries citing papers authored by Ali Srour

Since Specialization
Citations

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

Fields of papers citing papers by Ali Srour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Srour

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Srour. A scholar is included among the top collaborators of Ali Srour 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 Ali Srour. Ali Srour 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
1.
2.
Srour, Ali, Jason P. Bond, Carl A. Bradley, et al.. (2022). Ecology and diversity of culturable fungal species associated with soybean seedling diseases in the Midwestern United States. Journal of Applied Microbiology. 132(5). 3797–3811. 7 indexed citations
3.
Srour, Ali, et al.. (2022). A panel of qPCR assays to detect and quantify soybean soil-borne pathogens. Letters in Applied Microbiology. 76(1). 8 indexed citations
4.
Subedi, Arjun, et al.. (2020). Trichoderma Isolates Inhibit Fusarium virguliforme Growth, Reduce Root Rot, and Induce Defense-Related Genes on Soybean Seedlings. Plant Disease. 104(7). 1949–1959. 55 indexed citations
5.
Srour, Ali, Hala A. Ammar, Arjun Subedi, et al.. (2020). Microbial Communities Associated With Long-Term Tillage and Fertility Treatments in a Corn-Soybean Cropping System. Frontiers in Microbiology. 11. 1363–1363. 75 indexed citations
6.
Srour, Ali, et al.. (2020). Identification of SCAR markers linked to the Foc gene governing resistance to Fusarium oxysporum f. sp. cucumerinum in cucumber cv. SMR-18. European Journal of Plant Pathology. 157(4). 845–855. 5 indexed citations
7.
Srour, Ali, David J. Gibson, L. F. S. Leandro, et al.. (2017). Unraveling Microbial and Edaphic Factors Affecting the Development of Sudden Death Syndrome in Soybean. Phytobiomes Journal. 1(2). 91–101. 14 indexed citations
8.
Yuan, Jiazheng, et al.. (2017). New Approaches to Selecting Resistance or Tolerance to SDS and Fusarium Root Rot. 1(1). 10–17. 6 indexed citations
9.
Ammar, Hala A., et al.. (2017). Identification and characterization of genes involved in kojic acid biosynthesis in Aspergillus flavus. Annals of Microbiology. 67(10). 691–702. 12 indexed citations
10.
Afzal, Ahmed J., Ali Srour, Aparna Natarajan, et al.. (2017). Resistance to Soybean Cyst Nematode: Rhg1. OpenSIUC (Southern Illinois University Carbondale). 1(2). 39–45. 1 indexed citations
11.
Srour, Ali, Ahmad M. Fakhoury, & Robert L. Brown. (2016). Targeting Aflatoxin Biosynthetic Genes. Methods in molecular biology. 1542. 159–171. 7 indexed citations
12.
Kandel, Yuba R., J. S. Haudenshield, Ali Srour, et al.. (2015). Multilaboratory Comparison of Quantitative PCR Assays for Detection and Quantification of Fusarium virguliforme from Soybean Roots and Soil. Phytopathology. 105(12). 1601–1611. 24 indexed citations
13.
Afzal, Ahmed J., Ali Srour, Tianyun Liu, et al.. (2013). Homo-dimerization and ligand binding by the leucine-rich repeat domain at RHG1/RFS2 underlying resistance to two soybean pathogens. BMC Plant Biology. 13(1). 43–43. 13 indexed citations
14.
Srour, Ali, Ahmed J. Afzal, Daina H. Simmonds, et al.. (2012). The receptor like kinase at Rhg1-a/Rfs2 caused pleiotropic resistance to sudden death syndrome and soybean cyst nematode as a transgene by altering signaling responses. BMC Genomics. 13(1). 368–368. 35 indexed citations
15.
Sharma, Hemlata, et al.. (2012). New Approaches to Selecting Resistance or Tolerance to SDS and Fusarium Root Rot. 1(1). 10–17. 7 indexed citations
16.
Afzal, Ahmed J., Ali Srour, Aparna Natarajan, et al.. (2012). Resistance to Soybean Cyst Nematode: Rhg1.. 39–45. 2 indexed citations
17.
Afzal, Ahmed J., et al.. (2011). Recombination suppression at the dominant Rhg1/Rfs2 locus underlying soybean resistance to the cyst nematode. Theoretical and Applied Genetics. 124(6). 1027–1039. 19 indexed citations
18.
May, Michael, David A. Lightfoot, Ali Srour, Rhonda K. Kowalchuk, & Craig H. Kennedy. (2010). Association between serotonin transporter polymorphisms and problem behavior in adult males with intellectual disabilities. Brain Research. 1357. 97–103. 13 indexed citations
19.
Gangaraju, Vamsi K., Punit Prasad, Ali Srour, Mohamedi N. Kagalwala, & Blaine Bartholomew. (2009). Conformational Changes Associated with Template Commitment in ATP-Dependent Chromatin Remodeling by ISW2. Molecular Cell. 35(1). 58–69. 42 indexed citations
20.
May, Michael E., Ali Srour, Lora K. Hedges, et al.. (2009). Monoamine Oxidase A Promoter Gene Associated With Problem Behavior in Adults With Intellectual/Developmental Disabilities. American Journal on Intellectual and Developmental Disabilities. 114(4). 269–273. 12 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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