Vince Pantalone

1.4k total citations
36 papers, 946 citations indexed

About

Vince Pantalone is a scholar working on Plant Science, Agronomy and Crop Science and Mechanics of Materials. According to data from OpenAlex, Vince Pantalone has authored 36 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 6 papers in Agronomy and Crop Science and 4 papers in Mechanics of Materials. Recurrent topics in Vince Pantalone's work include Soybean genetics and cultivation (26 papers), Legume Nitrogen Fixing Symbiosis (25 papers) and Nematode management and characterization studies (12 papers). Vince Pantalone is often cited by papers focused on Soybean genetics and cultivation (26 papers), Legume Nitrogen Fixing Symbiosis (25 papers) and Nematode management and characterization studies (12 papers). Vince Pantalone collaborates with scholars based in United States and China. Vince Pantalone's co-authors include Tarek Hewezi, Margaret Staton, Sarah L. Lebeis, Parwinder S. Grewal, Fang Liu, Qijian Song, Tri D. Vuong, Grover Shannon, Gunvant Patil and Pengyin Chen and has published in prestigious journals such as PLANT PHYSIOLOGY, New Phytologist and The Plant Journal.

In The Last Decade

Vince Pantalone

33 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vince Pantalone United States 12 859 128 91 58 46 36 946
Manoela Miranda Germany 8 481 0.6× 257 2.0× 62 0.7× 31 0.5× 19 0.4× 8 636
Simon Diffey Australia 14 512 0.6× 191 1.5× 108 1.2× 29 0.5× 173 3.8× 40 686
Dragana Miladinović Serbia 15 716 0.8× 183 1.4× 143 1.6× 16 0.3× 73 1.6× 89 803
Marie-Hélène Wagner France 16 1.1k 1.3× 369 2.9× 105 1.2× 31 0.5× 70 1.5× 36 1.2k
Gerardo Tapia Chile 13 443 0.5× 121 0.9× 99 1.1× 18 0.3× 27 0.6× 20 512
Aarti Gupta India 17 814 0.9× 250 2.0× 63 0.7× 23 0.4× 32 0.7× 31 881
Mobashwer Alam Australia 14 469 0.5× 134 1.0× 75 0.8× 12 0.2× 115 2.5× 70 625
Alexandre Alonso Alves Brazil 14 443 0.5× 114 0.9× 33 0.4× 51 0.9× 103 2.2× 30 542
Sílvia Nietsche Brazil 16 706 0.8× 215 1.7× 39 0.4× 20 0.3× 24 0.5× 86 785
Cécile Ben France 16 685 0.8× 160 1.3× 65 0.7× 29 0.5× 86 1.9× 38 790

Countries citing papers authored by Vince Pantalone

Since Specialization
Citations

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

Fields of papers citing papers by Vince Pantalone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vince Pantalone

This figure shows the co-authorship network connecting the top 25 collaborators of Vince Pantalone. A scholar is included among the top collaborators of Vince Pantalone 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 Vince Pantalone. Vince Pantalone 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.
Lopes-Caitar, Valéria Stefania, et al.. (2024). Differential Transcriptome Reprogramming Induced by the Soybean Cyst Nematode Type 0 and Type 1.2.5.7 During Resistant and Susceptible Interactions. Molecular Plant-Microbe Interactions. 37(12). 828–840. 1 indexed citations
2.
Olukolu, Bode A., et al.. (2024). Quantitative trait loci governing seed protein, oil, and linolenic acid concentration in soybean. Journal of the American Oil Chemists Society. 102(1). 137–150.
3.
Amundsen, Keenan, et al.. (2023). Recombination hotspots in soybean [ Glycine max (L.) Merr.]. G3 Genes Genomes Genetics. 13(6). 4 indexed citations
4.
Shekoofa, Avat, et al.. (2023). Inheritance of Early Stomatal Closure Trait in Soybean: Ellis × N09-13890 Population. Plants. 12(18). 3227–3227. 1 indexed citations
5.
Piya, Sarbottam, Vince Pantalone, Naoufal Lakhssassi, et al.. (2023). Soybean gene co‐expression network analysis identifies two co‐regulated gene modules associated with nodule formation and development. Molecular Plant Pathology. 24(6). 628–636. 6 indexed citations
6.
Fallen, Benjamin, et al.. (2022). Registration of TN13‐4304 soybean germplasm with good yield, high meal protein, and resistance to peanut and southern root knot nematode. Journal of Plant Registrations. 16(2). 423–429. 1 indexed citations
7.
Nave, Renata La Guardia, et al.. (2022). Transitional organic forage systems in the southeastern U.S.: Production and nutritive value. Agronomy Journal. 114(2). 1269–1283. 8 indexed citations
8.
Shekoofa, Avat, et al.. (2022). Variation in mid-south soybean genotypes for recovery of transpiration rate and leaf maintenance following severe water-deficit stress. Field Crops Research. 286. 108625–108625. 7 indexed citations
9.
Piya, Sarbottam, Valéria Stefania Lopes-Caitar, Won‐Seok Kim, et al.. (2021). Title: Hypermethylation of miRNA Genes During Nodule Development. Frontiers in Molecular Biosciences. 8. 616623–616623. 7 indexed citations
10.
Bhandari, Hem S., Carl E. Sams, Virginia R. Sykes, et al.. (2020). Genetic Variation for Biomass Yield and Predicted Genetic Gain in Lowland Switchgrass “Kanlow”. Agronomy. 10(12). 1845–1845. 7 indexed citations
11.
Rambani, Aditi, Vince Pantalone, Songnan Yang, et al.. (2020). Identification of introduced and stably inherited DNA methylation variants in soybean associated with soybean cyst nematode parasitism. New Phytologist. 227(1). 168–184. 37 indexed citations
12.
Liu, Fang, Tarek Hewezi, Sarah L. Lebeis, et al.. (2019). Soil indigenous microbiome and plant genotypes cooperatively modify soybean rhizosphere microbiome assembly. BMC Microbiology. 19(1). 201–201. 214 indexed citations
13.
Bhandari, Hem S., Kristin Bilyeu, Feng Chen, et al.. (2019). Field Performance of High Oleic Soybeans with Mutant FAD2‐1A and FAD2‐1B Genes in Tennessee. Journal of the American Oil Chemists Society. 97(1). 49–56. 10 indexed citations
14.
Arelli, Prakash R., et al.. (2018). Development and Phenotypic Screening of an Ethyl Methane Sulfonate Mutant Population in Soybean. Frontiers in Plant Science. 9. 394–394. 61 indexed citations
15.
Pantalone, Vince, et al.. (2018). Registration of ‘TN11‐5102’ Soybean Cultivar with High Yield and High Protein Meal. Journal of Plant Registrations. 12(3). 304–308. 21 indexed citations
16.
Hewezi, Tarek, et al.. (2017). Phytopathogen-induced changes to plant methylomes. Plant Cell Reports. 37(1). 17–23. 25 indexed citations
17.
Patil, Gunvant, Rouf Mian, Tri D. Vuong, et al.. (2017). Molecular mapping and genomics of soybean seed protein: a review and perspective for the future. Theoretical and Applied Genetics. 130(10). 1975–1991. 160 indexed citations
18.
Wang, Dechun, et al.. (2017). The development and use of a molecular model for soybean maturity groups. BMC Plant Biology. 17(1). 91–91. 47 indexed citations
19.
Song, Qijian, Jerry Jenkins, Gaofeng Jia, et al.. (2016). Construction of high resolution genetic linkage maps to improve the soybean genome sequence assembly Glyma1.01. BMC Genomics. 17(1). 33–33. 106 indexed citations
20.
Wadl, Phillip A., Arnold M. Saxton, Xinwang Wang, et al.. (2011). Quantitative trait loci associated with red foliage in Cornus florida L.. Molecular Breeding. 27(3). 409–416. 10 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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