Ricelle Agbayani

414 total citations
9 papers, 282 citations indexed

About

Ricelle Agbayani is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Ricelle Agbayani has authored 9 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Biotechnology. Recurrent topics in Ricelle Agbayani's work include Transgenic Plants and Applications (4 papers), Plant tissue culture and regeneration (4 papers) and Banana Cultivation and Research (3 papers). Ricelle Agbayani is often cited by papers focused on Transgenic Plants and Applications (4 papers), Plant tissue culture and regeneration (4 papers) and Banana Cultivation and Research (3 papers). Ricelle Agbayani collaborates with scholars based in United States and Germany. Ricelle Agbayani's co-authors include Paul H. Moore, Yun Zhu, C. S. Tang, Mel C. Jackson, Henrik H. Albert, Ray Ming, Qingyi Yu, Shaobin Hou, Peizhu Guan and Rachel L. Skelton and has published in prestigious journals such as Planta, Plant Cell Reports and Molecular Genetics and Genomics.

In The Last Decade

Ricelle Agbayani

9 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ricelle Agbayani United States	7	216	191	74	24	22	9	282
Wing Kin Yip Hong Kong	10	283 1.3×	333 1.7×	28 0.4×	35 1.5×	3 0.1×	11	474
Patricia Ahl Goy Switzerland	6	167 0.8×	246 1.3×	58 0.8×	1 0.0×	6 0.3×	6	306
Xianju Liu China	7	334 1.5×	259 1.4×	27 0.4×	16 0.7×	5 0.2×	17	396
Cecilia Andrea Décima Oneto Argentina	8	272 1.3×	286 1.5×	45 0.6×		3 0.1×	15	375
Shunhong Dai United States	9	386 1.8×	460 2.4×	138 1.9×	4 0.2×	2 0.1×	13	540
Jos Van Boxtel France	9	423 2.0×	380 2.0×	190 2.6×		2 0.1×	12	553
Margarita Velcheva Israel	10	267 1.2×	289 1.5×	41 0.6×	2 0.1×	3 0.1×	12	342
Maria Luiza Peixoto de Oliveira United States	11	285 1.3×	299 1.6×	78 1.1×		8 0.4×	13	394
Jiu-Sherng Yang Taiwan	9	294 1.4×	309 1.6×	82 1.1×		35 1.6×	14	350
Fuli Ma China	12	300 1.4×	385 2.0×	24 0.3×	30 1.3×		20	469

Countries citing papers authored by Ricelle Agbayani

Since Specialization

Citations

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

Fields of papers citing papers by Ricelle Agbayani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricelle Agbayani

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

All Works

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9 of 9 papers shown

1.

Agbayani, Ricelle, et al.. (2012). Chitinase is a Potential Molecular Biomarker for Detecting Resistance to Fusarium oxysporum in Acacia koa. Tropical Plant Biology. 5(3). 244–252. 12 indexed citations

2.

Agbayani, Ricelle, et al.. (2010). Genetic transformation with untranslatable coat protein gene of sugarcane yellow leaf virus reduces virus titers in sugarcane. Transgenic Research. 20(3). 503–512. 27 indexed citations

3.

Agbayani, Ricelle, et al.. (2007). Transgenic sugarcane with coat protein gene-based silencing shows increased resistance to sugarcane yellow leaf virus (ScYLV).. 963–967. 1 indexed citations

4.

Zhu, Yun, Ricelle Agbayani, & Paul H. Moore. (2007). Ectopic expression of Dahlia merckii defensin DmAMP1 improves papaya resistance to Phytophthora palmivora by reducing pathogen vigor. Planta. 226(1). 87–97. 47 indexed citations

5.

Zhu, Yang, Ricelle Agbayani, Wayne T. Nishijima, & Patrick P. Moore. (2007). CHARACTERIZATION OF DISEASE RESISTANCE OF CARICA PAPAYA TO PHYTOPHTHORA. Acta Horticulturae. 265–269. 3 indexed citations

6.

Yu, Qingyi, Shaobin Hou, Rachel L. Skelton, et al.. (2006). Analysis of papaya BAC end sequences reveals first insights into the organization of a fruit tree genome. Molecular Genetics and Genomics. 276(1). 1–12. 52 indexed citations

7.

Zhu, Yun, et al.. (2005). Effective selection of transgenic papaya plants with the PMI/Man selection system. Plant Cell Reports. 24(7). 426–432. 42 indexed citations

8.

Moore, Paul H., Yun Zhu, & Ricelle Agbayani. (2004). Green fluorescent protein as a visual selection marker for papaya ( Carica papaya L.) transformation. Plant Cell Reports. 22(9). 660–667. 24 indexed citations

9.

Zhu, Yun, Ricelle Agbayani, Mel C. Jackson, C. S. Tang, & Paul H. Moore. (2004). Expression of the grapevine stilbene synthase gene VST1 in papaya provides increased resistance against diseases caused by Phytophthora palmivora. Planta. 220(2). 241–250. 74 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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