Marjorie De Ocampo

17 total papers · 934 total citations
12 papers, 664 citations indexed

About

Marjorie De Ocampo is a scholar working on Plant Science, Genetics and Infectious Diseases. According to data from OpenAlex, Marjorie De Ocampo has authored 12 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Genetics and 0 papers in Infectious Diseases. Recurrent topics in Marjorie De Ocampo's work include Rice Cultivation and Yield Improvement (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Plant responses to water stress (5 papers). Marjorie De Ocampo is often cited by papers focused on Rice Cultivation and Yield Improvement (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Plant responses to water stress (5 papers). Marjorie De Ocampo collaborates with scholars based in Philippines, Bangladesh and United States. Marjorie De Ocampo's co-authors include Michael J. Thomson, Abdelbagi M. Ismail, James Egdane, M. Akhlasur Rahman, Glenn B. Gregorio, Dante L. Adorada, Rakesh Kumar Singh, Eduardo Blumwald, A.G. Sajise and Zeba I. Seraj and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Plant Cell & Environment and Annals of Botany.

In The Last Decade

Marjorie De Ocampo

12 papers receiving 631 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marjorie De Ocampo	647	331	55	16	12	12	664
M. Akhlasur Rahman	685 1.1×	317 1.0×	61 1.1×	32 2.0×	22 1.8×	13	731
Fangjun Feng	533 0.8×	246 0.7×	136 2.5×	15 0.9×	15 1.3×	19	580
Junjian Ni	592 0.9×	443 1.3×	185 3.4×	19 1.2×	6 0.5×	8	697
G. Vergara	586 0.9×	217 0.7×	69 1.3×	44 2.8×	23 1.9×	11	642
Christine Jade Dilla-Ermita	526 0.8×	314 0.9×	61 1.1×	10 0.6×	4 0.3×	12	568
Sang Nag Ahn	715 1.1×	489 1.5×	108 2.0×	24 1.5×	4 0.3×	6	757
Mikiko Koyama	535 0.8×	177 0.5×	74 1.3×	13 0.8×	15 1.3×	8	557
Haibin Wei	653 1.0×	215 0.6×	202 3.7×	17 1.1×	7 0.6×	19	729
Chuan Qing Sun	594 0.9×	437 1.3×	76 1.4×	21 1.3×	7 0.6×	7	631
Ghanta Anuradha	624 1.0×	175 0.5×	84 1.5×	12 0.8×	15 1.3×	18	664

Countries citing papers authored by Marjorie De Ocampo

Since Specialization

Citations

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

Fields of papers citing papers by Marjorie De Ocampo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marjorie De Ocampo. 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 Marjorie De Ocampo. The network helps show where Marjorie De Ocampo may publish in the future.

Co-authorship network of co-authors of Marjorie De Ocampo

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

All Works

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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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