Diego Rivera

971 total citations
22 papers, 577 citations indexed

About

Diego Rivera is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Diego Rivera has authored 22 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Diego Rivera's work include Plant-Microbe Interactions and Immunity (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Plant tissue culture and regeneration (4 papers). Diego Rivera is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Plant tissue culture and regeneration (4 papers). Diego Rivera collaborates with scholars based in Colombia, United States and Argentina. Diego Rivera's co-authors include Melissa Obando, Ruth Bonilla, Daniel F. Rojas‐Tapias, Sergio Pardo-Díaz, Andrés Moreno-Galván, Stijn Spaepen, Fabricio Cassán, Gastón López, Susana Rosas and Verónica Mora and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Diego Rivera

20 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Rivera Colombia 11 385 142 50 46 45 22 577
A. L. Singh India 13 377 1.0× 146 1.0× 19 0.4× 21 0.5× 52 1.2× 64 580
Yoshihiro Ohmori Japan 18 1.1k 2.8× 683 4.8× 24 0.5× 25 0.5× 9 0.2× 52 1.3k
Yafei Wang China 12 172 0.4× 122 0.9× 21 0.4× 7 0.2× 4 0.1× 39 395
Shijuan Dou China 12 225 0.6× 273 1.9× 37 0.7× 14 0.3× 2 0.0× 34 592
Samuel T. N. Aroney Australia 7 128 0.3× 68 0.5× 9 0.2× 72 1.6× 3 0.1× 12 335
Kathie J. Ngo United States 10 462 1.2× 310 2.2× 20 0.4× 36 0.8× 90 2.0× 18 641
Franco Favilli Italy 13 220 0.6× 146 1.0× 1 0.0× 62 1.3× 39 0.9× 44 556
Erik Østergaard Jensen Denmark 17 749 1.9× 485 3.4× 4 0.1× 21 0.5× 4 0.1× 19 1.0k
Nam V. Hoang Australia 15 586 1.5× 505 3.6× 93 1.9× 18 0.4× 5 0.1× 27 1.0k
Isabel Molina Spain 14 528 1.4× 534 3.8× 6 0.1× 23 0.5× 14 0.3× 29 836

Countries citing papers authored by Diego Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Diego Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Rivera

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

All Works

20 of 20 papers shown
1.
Ma, Chao, Thomas Boike, Alvaro A. Martinez, et al.. (2023). Hyaluronic Acid Rectal Spacer Stability during Radiation Therapy for Localized Prostate Cancer: An Intercontinental Study. International Journal of Radiation Oncology*Biology*Physics. 117(2). e420–e420.
2.
Molina, Romina, Diego Rivera, Verónica Mora, et al.. (2018). Regulation of IAA Biosynthesis in Azospirillum brasilense Under Environmental Stress Conditions. Current Microbiology. 75(10). 1408–1418. 45 indexed citations
3.
Rivera, Diego, Verónica Mora, Gastón López, et al.. (2018). New insights into indole-3-acetic acid metabolism inAzospirillum brasilense. Journal of Applied Microbiology. 125(6). 1774–1785. 27 indexed citations
4.
Cooper, Margaret E., George L. Wehby, Judith Resick, et al.. (2017). Dental Decay Phenotype in Nonsyndromic Orofacial Clefting. Journal of Dental Research. 96(10). 1106–1114. 10 indexed citations
5.
Rivera, Diego, et al.. (2016). Entrapment of Rhizobium sp. by fluidized bed technique using polymers as coating materials. Universitas Scientiarum. 21(2). 117–117. 2 indexed citations
6.
Rivera, Diego, et al.. (2014). Evaluation of polymers for the liquid rhizobial formulation and their influence in the Rhizobium-Cowpea interaction. Universitas Scientiarum. 19(3). 20 indexed citations
7.
Rivera, Diego, Santiago Revale, Romina Molina, et al.. (2014). Complete Genome Sequence of the Model Rhizosphere Strain Azospirillum brasilense Az39, Successfully Applied in Agriculture. Genome Announcements. 2(4). 36 indexed citations
8.
Fernández, María Luz, et al.. (2013). Genetic Characterization of Colombian Brahman Cattle Using Microsatellites Markers. Генетика. 49(7). 846–855. 1 indexed citations
9.
10.
Rojas‐Tapias, Daniel F., et al.. (2013). Evaluation of three methods for preservation of Azotobacter: freeze-drying, cryopreservation, and immobilization in dry polymers. SHILAP Revista de lepidopterología. 18(2). 10 indexed citations
11.
Obando, Melissa, et al.. (2012). Seleccion y caracterizacion de rizobacterias promotoras de crecimiento vegetal RPCV asociadas al cultivo de algodon Gossypium hirsutum. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Obando, Melissa, et al.. (2012). Selection and characterization of plant growth promoting rhizobacteria (PGPR’s) associated with cotton crop (Gossypium hirsutum). Revista Colombiana de Biotecnología. 14(1). 182–190. 1 indexed citations
13.
Vélez, Jorge I., Settara C. Chandrasekharappa, Eliana Henao, et al.. (2012). Pooling/bootstrap-based GWAS (pbGWAS) identifies new loci modifying the age of onset in PSEN1 p.Glu280Ala Alzheimer's disease. Molecular Psychiatry. 18(5). 568–575. 29 indexed citations
14.
Rojas‐Tapias, Daniel F., Andrés Moreno-Galván, Sergio Pardo-Díaz, et al.. (2012). Effect of inoculation with plant growth-promoting bacteria (PGPB) on amelioration of saline stress in maize (Zea mays). Applied Soil Ecology. 61. 264–272. 289 indexed citations
15.
16.
Rivera, Diego, et al.. (2011). EFFECT OF AGROCHEMICALS IN COTTON SEED PELLETS ON MONIBAC® BIOFERTILISER BASED ON Azotobacter chroococcum. Biotecnología en el Sector Agropecuario y Agroindustrial. 9(2). 130–138. 1 indexed citations
17.
Obón, Concepción & Diego Rivera. (2005). Origen y conservación de las plantas cultivadas: la agrobiodiversidad en la cuenca del río Segura (España). SHILAP Revista de lepidopterología. 51–59. 1 indexed citations
18.
Moreno, María, Expedito Leite Silva, Luis Eduardo Ramı́rez, et al.. (2004). Chagas' disease susceptibility/resistance: linkage disequilibrium analysis suggests epistasis between major histocompatibility complex and interleukin‐10. Tissue Antigens. 64(1). 18–24. 12 indexed citations
19.
Palacio, Luis, Diego Rivera, J.J. Builes, et al.. (2002). Multiple sclerosis in the tropics: genetic association to STR’s loci spanning the HLA and TNF. Multiple Sclerosis Journal. 8(3). 249–255. 16 indexed citations
20.
Rivera, Diego, et al.. (1986). Diego Rivera, a retrospective. Medical Entomology and Zoology. 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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