Albert G. Abbott

3.9k total citations
39 papers, 1.8k citations indexed

About

Albert G. Abbott is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Albert G. Abbott has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 17 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Albert G. Abbott's work include Horticultural and Viticultural Research (8 papers), Plant Pathogens and Fungal Diseases (7 papers) and Plant Reproductive Biology (7 papers). Albert G. Abbott is often cited by papers focused on Horticultural and Viticultural Research (8 papers), Plant Pathogens and Fungal Diseases (7 papers) and Plant Reproductive Biology (7 papers). Albert G. Abbott collaborates with scholars based in United States, Spain and France. Albert G. Abbott's co-authors include Sook Jung, Dorrie Main, G.L. Reighard, Margaret Staton, Anna V. Blenda, Pere Arús, R. Testolin, G. Cipriani, Elisabeth Dirlewanger and Laura L. Georgi and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Genetics.

In The Last Decade

Albert G. Abbott

39 papers receiving 1.7k citations

Peers

Albert G. Abbott

GENET

ENDOC

Peijian Cao China

Run Cai China

Chris Dardick United States

Huayu Zhu China

Jinguo Hu United States

Hengxiu Yu China

Keiichi Okazaki Japan

Carl R. Simmons United States

Giovanni M Cordeiro Australia

Wànkuí Gǒng China

Peijian Cao China

Albert G. Abbott

1.5k ×1.0

998 ×1.2

104 ×0.3

206 ×0.9

GENET

83 ×0.4

ENDOC

Citations per year, relative to Albert G. Abbott Albert G. Abbott (= 1×) peers Peijian Cao

Countries citing papers authored by Albert G. Abbott

Since Specialization

Citations

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

Fields of papers citing papers by Albert G. Abbott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert G. Abbott. 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 Albert G. Abbott. The network helps show where Albert G. Abbott may publish in the future.

Co-authorship network of co-authors of Albert G. Abbott

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bielenberg, Douglas G., B. Rauh, Shenghua Fan, et al.. (2015). Genotyping by Sequencing for SNP-Based Linkage Map Construction and QTL Analysis of Chilling Requirement and Bloom Date in Peach [Prunus persica (L.) Batsch]. PLoS ONE. 10(10). e0139406–e0139406. 95 indexed citations

Jung, Sook, Stephen Ficklin, Taein Lee, et al.. (2013). The Genome Database for Rosaceae (GDR): year 10 update. Nucleic Acids Research. 42(D1). D1237–D1244. 149 indexed citations

Barakat, Abdelali, Chun-Huai Cheng, Joseph Park, et al.. (2012). Chestnut resistance to the blight disease: insights from transcriptome analysis. BMC Plant Biology. 12(1). 38–38. 66 indexed citations

Olukolu, Bode A., Sean Mayes, N.Q. Ng, et al.. (2011). Genetic diversity in Bambara groundnut (Vigna subterranea (L.) Verdc.) as revealed by phenotypic descriptors and DArT marker analysis. Genetic Resources and Crop Evolution. 59(3). 347–358. 65 indexed citations

López‐Girona, Elena, Daniel James Sargent, Mónica Muñoz-Torres, et al.. (2009). The development and characterisation of a bacterial artificial chromosome library for Fragaria vesca. BMC Research Notes. 2(1). 188–188. 3 indexed citations

Jung, Sook, et al.. (2007). GDR (Genome Database for Rosaceae): integrated web-database for Rosaceae genomics and genetics data. Nucleic Acids Research. 36(Database). D1034–D1040. 163 indexed citations

Jung, Sook, Dorrie Main, Margaret Staton, et al.. (2006). Synteny conservation between the Prunus genome and both the present and ancestral Arabidopsis genomes. BMC Genomics. 7(1). 81–81. 22 indexed citations

Howad, Werner, Toshiya Yamamoto, Elisabeth Dirlewanger, et al.. (2005). Mapping With a Few Plants: Using Selective Mapping for Microsatellite Saturation of the Prunus Reference Map. Genetics. 171(3). 1305–1309. 140 indexed citations

Jung, Sook, et al.. (2005). Frequency, type, distribution and annotation of simple sequence repeats in Rosaceae ESTs. Functional & Integrative Genomics. 5(3). 136–143. 88 indexed citations

10.

Verde, Ignazio, Massimiliano Lauria, Maria Teresa Dettori, et al.. (2005). Microsatellite and AFLP markers in the Prunus persica [L. (Batsch)]×P. ferganensis BC1linkage map: saturation and coverage improvement. Theoretical and Applied Genetics. 111(6). 1013–1021. 30 indexed citations

11.

Patel, Mili, Sook Jung, Kim M. Moore, et al.. (2004). High-oleate peanut mutants result from a MITE insertion into the FAD2 gene. Theoretical and Applied Genetics. 108(8). 1492–1502. 93 indexed citations

12.

Vilanova, Santiago, Carlos Romero, Daniel G. Abernathy, et al.. (2003). Construction and application of a bacterial artificial chromosome (BAC) library of Prunus armeniaca L. for the identification of clones linked to the self-incompatibility locus. Molecular Genetics and Genomics. 269(5). 685–691. 17 indexed citations

13.

Aranzana, María José, Elisabeth Dirlewanger, G. Cipriani, et al.. (2003). A set of simple-sequence repeat (SSR) markers covering the Prunus genome. Theoretical and Applied Genetics. 106(5). 819–825. 177 indexed citations

14.

Wang, Ying, Laura L. Georgi, Tetyana Zhebentyayeva, et al.. (2002). High-throughput targeted SSR marker development in peach (Prunus persica). Genome. 45(2). 319–328. 66 indexed citations

15.

Vervoort, Virginie, Richard J. Smith, Jane O’Brien, et al.. (2002). Genomic rearrangements of EYA1 account for a large fraction of families with BOR syndrome. European Journal of Human Genetics. 10(11). 757–766. 38 indexed citations

16.

Rajapakse, S., Guangcun He, Ignazio Verde, et al.. (1995). Genetic linkage mapping in peach using morphological, RFLP and RAPD markers. Theoretical and Applied Genetics. 90(3-4). 503–510. 88 indexed citations

17.

Ray, C, Albert G. Abbott, & R. S. Hussey. (1994). Trans-splicing of a Meloidogyne incognita mRNA encoding a putative esophageal gland protein. Molecular and Biochemical Parasitology. 68(1). 93–101. 47 indexed citations

18.

Abbott, Albert G., et al.. (1991). Higher plant mitochondrial DNA expression. Theoretical and Applied Genetics. 82(6). 723–728. 5 indexed citations

19.

Barth, Jeremy L., et al.. (1991). Higher plant mitochondrial DNA expression. Theoretical and Applied Genetics. 82(6). 765–770. 5 indexed citations

20.

Abbott, Albert G., et al.. (1987). Northern hybridization analysis of mitochondria gene expression in maize cytoplasm with varied nuclear backgrounds. Theoretical and Applied Genetics. 74(4). 531–537. 5 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.

Explore authors with similar magnitude of impact