María‐Soledad Benítez

800 total citations
27 papers, 592 citations indexed

About

María‐Soledad Benítez is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, María‐Soledad Benítez has authored 27 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 8 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in María‐Soledad Benítez's work include Nematode management and characterization studies (7 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Pathogens and Fungal Diseases (7 papers). María‐Soledad Benítez is often cited by papers focused on Nematode management and characterization studies (7 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Pathogens and Fungal Diseases (7 papers). María‐Soledad Benítez collaborates with scholars based in United States, Ecuador and Italy. María‐Soledad Benítez's co-authors include R. Michael Lehman, Shannon L. Osborne, Brian B. McSpadden Gardener, Rytas Vilgalys, Michelle H. Hersh, James S. Clark, Patrick M. Ewing, Eugenia M. del Pino, Sally A. Miller and Wendy I. Taheri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Trends in Ecology & Evolution and Applied and Environmental Microbiology.

In The Last Decade

María‐Soledad Benítez

25 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María‐Soledad Benítez United States 13 426 133 123 98 83 27 592
Camille S. Delavaux United States 11 427 1.0× 76 0.6× 74 0.6× 65 0.7× 90 1.1× 22 561
Sirgi Saar Estonia 6 377 0.9× 25 0.2× 111 0.9× 50 0.5× 62 0.7× 7 502
Stanley E. Bellgard New Zealand 14 360 0.8× 163 1.2× 20 0.2× 130 1.3× 87 1.0× 32 505
J. M. Tanja Bakx‐Schotman Netherlands 6 399 0.9× 26 0.2× 124 1.0× 49 0.5× 87 1.0× 6 582
Kristoffer Jonsson Sweden 15 535 1.3× 81 0.6× 55 0.4× 451 4.6× 14 0.2× 20 826
C. E. Sansford United Kingdom 11 339 0.8× 125 0.9× 18 0.1× 41 0.4× 91 1.1× 23 493
Mark P. Dobrowolski Australia 18 578 1.4× 232 1.7× 16 0.1× 280 2.9× 82 1.0× 40 812
Silvana M. Sede Argentina 14 260 0.6× 43 0.3× 37 0.3× 159 1.6× 47 0.6× 33 588
Bingyun Wu Japan 17 638 1.5× 152 1.1× 33 0.3× 106 1.1× 104 1.3× 27 836
Manoj Kumar Yadav India 16 458 1.1× 135 1.0× 25 0.2× 114 1.2× 76 0.9× 55 671

Countries citing papers authored by María‐Soledad Benítez

Since Specialization
Citations

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

Fields of papers citing papers by María‐Soledad Benítez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María‐Soledad Benítez. 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 María‐Soledad Benítez. The network helps show where María‐Soledad Benítez may publish in the future.

Co-authorship network of co-authors of María‐Soledad Benítez

This figure shows the co-authorship network connecting the top 25 collaborators of María‐Soledad Benítez. A scholar is included among the top collaborators of María‐Soledad Benítez 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 María‐Soledad Benítez. María‐Soledad Benítez 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.
Lopez‐Nicora, Horacio D., et al.. (2024). Fungal Communities Shift with Soybean Cyst Nematode Abundance in Soils. Phytobiomes Journal. 8(4). 568–577. 1 indexed citations
2.
3.
Malacrinò, Antonino, et al.. (2023). Subtle Responses of Soil Bacterial Communities to Corn-Soybean-Wheat Rotation. Phytobiomes Journal. 7(3). 392–400. 5 indexed citations
4.
Malacrinò, Antonino, Ahmed Abdelfattah, Gabriele Berg, et al.. (2022). Exploring microbiomes for plant disease management. Biological Control. 169. 104890–104890. 13 indexed citations
5.
Scheerens, Joseph C., et al.. (2022). Novel Trichoderma Isolates Alleviate Water Deficit Stress in Susceptible Tomato Genotypes. Frontiers in Plant Science. 13. 869090–869090. 28 indexed citations
6.
7.
Slot, Jason C., et al.. (2021). The Foliar Microbiome Suggests that Fungal and Bacterial Agents May be Involved in the Beech Leaf Disease Pathosystem. Phytobiomes Journal. 5(3). 335–349. 14 indexed citations
8.
Lindsey, Laura E., et al.. (2021). Yield and soil responses to adding wheat to a corn–soybean rotation. Crop Forage & Turfgrass Management. 8(1). 6 indexed citations
9.
Wijeratne, Saranga, et al.. (2020). The Effect of Incubation Temperature on the Species Composition ofPhytophthora,Phytopythium, andPythiumCommunities Associated with Soybean. Phytobiomes Journal. 5(2). 133–144. 4 indexed citations
10.
Keener, H. M., et al.. (2020). Sequence Resource of Bacterial Communities Associated with Hemp in Ohio. Phytobiomes Journal. 5(2). 244–247. 3 indexed citations
11.
Oliva, Ricardo, G. A. Forbes, Jorge Andrade-Piedra, et al.. (2018). Characterization of tuber blight‐suppressive soils from four provinces of the Ecuadorean Andes. Plant Pathology. 67(7). 1562–1573. 1 indexed citations
12.
Benítez, María‐Soledad, Shannon L. Osborne, & R. Michael Lehman. (2017). Previous crop and rotation history effects on maize seedling health and associated rhizosphere microbiome. Scientific Reports. 7(1). 15709–15709. 77 indexed citations
13.
Benítez, María‐Soledad, Wendy I. Taheri, & R. Michael Lehman. (2016). Selection of fungi by candidate cover crops. Applied Soil Ecology. 103. 72–82. 41 indexed citations
14.
Benítez, María‐Soledad, Michelle H. Hersh, Rytas Vilgalys, & James S. Clark. (2013). Pathogen regulation of plant diversity via effective specialization. Trends in Ecology & Evolution. 28(12). 705–711. 83 indexed citations
15.
Benítez, María‐Soledad. (2008). Applied T-RFLP Analyses for the Identification and Characterization of Microbial Populations Associated With Damping-Off Incidence in a Transitional Organic Cropping System. OhioLink ETD Center (Ohio Library and Information Network). 3 indexed citations
16.
Benítez, María‐Soledad, et al.. (2008). Field Management Effects on Damping-Off and Early Season Vigor of Crops in a Transitional Organic Cropping System. Phytopathology. 98(5). 562–570. 19 indexed citations
17.
Benítez, María‐Soledad, et al.. (2007). Comparative analysis of Xenopus VegT, the meso-endodermal determinant, identifies an unusual conserved sequence. Differentiation. 75(6). 559–565. 8 indexed citations
18.
Benítez, María‐Soledad, Dorith Rotenberg, Matthew D. Kleinhenz, et al.. (2007). Multiple statistical approaches of community fingerprint data reveal bacterial populations associated with general disease suppression arising from the application of different organic field management strategies. Soil Biology and Biochemistry. 39(9). 2289–2301. 54 indexed citations
19.
Pino, Eugenia M. del, et al.. (2004). Development of the dendrobatid frog Colostethus machalilla. The International Journal of Developmental Biology. 48(7). 663–670. 35 indexed citations
20.
Benítez, María‐Soledad & Eugenia M. del Pino. (2002). Expression of Brachyury during development of the dendrobatid frog Colostethus machalilla. Developmental Dynamics. 225(4). 592–596. 21 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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