E. Abrigo

848 total citations
11 papers, 533 citations indexed

About

E. Abrigo is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, E. Abrigo has authored 11 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Plant Science and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in E. Abrigo's work include Plant tissue culture and regeneration (4 papers), CRISPR and Genetic Engineering (3 papers) and GABA and Rice Research (2 papers). E. Abrigo is often cited by papers focused on Plant tissue culture and regeneration (4 papers), CRISPR and Genetic Engineering (3 papers) and GABA and Rice Research (2 papers). E. Abrigo collaborates with scholars based in Philippines, India and Germany. E. Abrigo's co-authors include Swapan K. Datta, Norman Oliva, Karabi Datta, Lina Torrizo, Mohammad Firoz Alam, Jumin Tu, G. S. Khush, Mayank Rai, Niranjan Baisakh and Ingo Potrykus and has published in prestigious journals such as Theoretical and Applied Genetics, Plant Science and Journal of Plant Physiology.

In The Last Decade

E. Abrigo

11 papers receiving 499 citations

Peers

E. Abrigo

PS

MB

BIOTE

IS

BIOCH

P. K. Burkhardt Switzerland

Mihály Kondrák Hungary

Babar Usman China

Stefan Dukiandjiev Bulgaria

Bidyut Kumar Sarmah India

Søren Knudsen Denmark

Hélène Laparra Switzerland

Youwen Tian China

Xuejing Wen China

Changhyun Choi South Korea

P. K. Burkhardt Switzerland

E. Abrigo

257 ×0.7

PS

349 ×1.0

MB

131 ×0.9

BIOTE

31 ×0.7

IS

98 ×3.9

BIOCH

Citations per year, relative to E. Abrigo E. Abrigo (= 1×) peers P. K. Burkhardt

Countries citing papers authored by E. Abrigo

Since Specialization

Citations

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

Fields of papers citing papers by E. Abrigo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Abrigo

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

All Works

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11 of 11 papers shown

1.

Datta, Karabi, Norman Oliva, E. Abrigo, et al.. (2018). Engineering provitamin A synthesis pathway with β-carotene metabolism in rice endosperm of a restorer line BR827R. Archives of Agriculture and Environmental Science. 3(2). 103–108. 2 indexed citations

2.

Zhou, Wei, et al.. (2014). OsHox4 regulates GA signaling by interacting with DELLA-like genes and GA oxidase genes in rice. Euphytica. 201(1). 97–107. 23 indexed citations

3.

Oliva, Norman, Prabhjit Chadha‐Mohanty, E. Abrigo, et al.. (2013). Large-scale production and evaluation of marker-free indica rice IR64 expressing phytoferritin genes. Molecular Breeding. 33(1). 23–37. 49 indexed citations

4.

Datta, Swapan K., Karabi Datta, Vilas Parkhi, et al.. (2006). Golden rice: introgression, breeding, and field evaluation. Euphytica. 154(3). 271–278. 25 indexed citations

5.

Datta, Swapan K., Vilas Parkhi, Mayank Rai, et al.. (2005). Golden Rice and improvement of human nutrition.. 99–102. 1 indexed citations

6.

Datta, Karabi, Niranjan Baisakh, Norman Oliva, et al.. (2003). Bioengineered ‘ golden ’ indica rice cultivars with β‐carotene metabolism in the endosperm with hygromycin and mannose selection systems. Plant Biotechnology Journal. 1(2). 81–90. 109 indexed citations

7.

Torrizo, Lina, T.L. Setter, Marc H. Ellis, et al.. (2000). Enhancement of Submergence Tolerance in Transgenic Rice Overproducing Pyruvate Decarboxylase. Journal of Plant Physiology. 156(4). 516–521. 60 indexed citations

8.

Alam, Mohammad Firoz, Karabi Datta, E. Abrigo, et al.. (1999). Transgenic insect-resistant maintainer line (IR68899B) for improvement of hybrid rice. Plant Cell Reports. 18(7-8). 572–575. 51 indexed citations

9.

Alam, Mohammad Firoz, et al.. (1998). Production of transgenic deepwater indica rice plants expressing a synthetic Bacillus thuringiensis cryIA(b) gene with enhanced resistance to yellow stem borer. Plant Science. 135(1). 25–30. 38 indexed citations

10.

Datta, Karabi, Jumin Tu, Lina Torrizo, et al.. (1998). Constitutive and tissue-specific differential expression of the cryIA(b) gene in transgenic rice plants conferring resistance to rice insect pest. Theoretical and Applied Genetics. 97(1-2). 20–30. 171 indexed citations

11.

Abrigo, E., et al.. (1986). Plant Regeneration and Screening From Long-Term NaCl-Stressed Rice Callus. Zenodo (CERN European Organization for Nuclear Research). 4 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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