A.G. Sajise

768 total citations
12 papers, 508 citations indexed

About

A.G. Sajise is a scholar working on Plant Science, Genetics and Complementary and alternative medicine. According to data from OpenAlex, A.G. Sajise has authored 12 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 4 papers in Genetics and 3 papers in Complementary and alternative medicine. Recurrent topics in A.G. Sajise's work include Plant Stress Responses and Tolerance (4 papers), Rice Cultivation and Yield Improvement (4 papers) and Papaya Research and Applications (3 papers). A.G. Sajise is often cited by papers focused on Plant Stress Responses and Tolerance (4 papers), Rice Cultivation and Yield Improvement (4 papers) and Papaya Research and Applications (3 papers). A.G. Sajise collaborates with scholars based in Philippines, Australia and United States. A.G. Sajise's co-authors include Rakesh Kumar Singh, Glenn B. Gregorio, Abdelbagi M. Ismail, James Egdane, Dante L. Adorada, M. Akhlasur Rahman, Zeba I. Seraj, Marjorie De Ocampo, Michael J. Thomson and Eduardo Blumwald and has published in prestigious journals such as Plant and Soil, eLife and Theoretical and Applied Genetics.

In The Last Decade

A.G. Sajise

12 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.G. Sajise Philippines 7 484 191 80 13 12 12 508
Huabing Deng China 11 358 0.7× 130 0.7× 143 1.8× 11 0.8× 6 0.5× 33 413
Xipeng Ding China 7 356 0.7× 106 0.6× 86 1.1× 10 0.8× 8 0.7× 13 383
Hanhua Tong China 10 288 0.6× 145 0.8× 42 0.5× 12 0.9× 8 0.7× 16 322
Bofeng Zhu China 5 277 0.6× 157 0.8× 118 1.5× 12 0.9× 2 0.2× 7 318
G. Padmavathi India 11 332 0.7× 115 0.6× 38 0.5× 5 0.4× 19 1.6× 30 357
H. P. Moon South Korea 8 287 0.6× 139 0.7× 83 1.0× 19 1.5× 4 0.3× 19 313
Paolo Riccardi Italy 7 190 0.4× 76 0.4× 70 0.9× 13 1.0× 4 0.3× 8 220
Shakti Prakash Mohanty India 10 302 0.6× 128 0.7× 29 0.4× 8 0.6× 10 0.8× 15 319
Hongliang Zheng China 7 284 0.6× 127 0.7× 50 0.6× 8 0.6× 5 0.4× 11 309
Mohammad Zahidul Islam Bangladesh 10 299 0.6× 80 0.4× 33 0.4× 18 1.4× 16 1.3× 24 314

Countries citing papers authored by A.G. Sajise

Since Specialization
Citations

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

Fields of papers citing papers by A.G. Sajise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.G. Sajise

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

All Works

12 of 12 papers shown
1.
Groen, Simon C., Maricris Zaidem, A.G. Sajise, et al.. (2025). Systems genomics of salinity stress response in rice. eLife. 13. 2 indexed citations
2.
Groen, Simon C., Maricris Zaidem, A.G. Sajise, et al.. (2024). Systems genomics of salinity stress response in rice. eLife. 13. 2 indexed citations
3.
Mahender, Anumalla, Ma Teresa Sta. Cruz, Margaret Catolos, et al.. (2024). Genetic gains in IRRI’s rice salinity breeding and elite panel development as a future breeding resource. Theoretical and Applied Genetics. 137(2). 37–37. 9 indexed citations
4.
Sajise, A.G., et al.. (2017). Genetic dissection for zinc deficiency tolerance in rice using bi-parental mapping and association analysis. Theoretical and Applied Genetics. 130(9). 1903–1914. 15 indexed citations
5.
Cabanos, Cerrone, et al.. (2014). Compositional Analysis of Transgenic Papaya with Delayed Ripening Trait. Philippine Agricultural Scientist. 96(4). 2 indexed citations
6.
7.
Sarhadi, Elham, Mitra Mohammadi Bazargani, A.G. Sajise, et al.. (2012). Proteomic analysis of rice anthers under salt stress. Plant Physiology and Biochemistry. 58. 280–287. 51 indexed citations
8.
Thomson, Michael J., Marjorie De Ocampo, James Egdane, et al.. (2010). Characterizing the Saltol Quantitative Trait Locus for Salinity Tolerance in Rice. Rice. 3(2-3). 148–160. 363 indexed citations
9.
Bandillo, Nonoy, et al.. (2010). Development of multiparent advanced generation intercross (magic) populations for gene discovery in rice (Oryza sativa L.). 4 indexed citations
10.
11.
Drew, R.A., et al.. (2006). Progress in backcrossing between Carica papaya × Vasconcellea quercifolia intergeneric hybrids and C. papaya. Australian Journal of Experimental Agriculture. 46(3). 419–419. 6 indexed citations
12.
Drew, R.A., et al.. (2006). Breeding for Papaya ringspot virus resistance in Carica papaya via hybridisation with Vasconcellea quercifolia. Australian Journal of Experimental Agriculture. 46(3). 413–413. 16 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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2026