Diego Fajardo

774 total citations
19 papers, 526 citations indexed

About

Diego Fajardo is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Diego Fajardo has authored 19 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 7 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Diego Fajardo's work include Potato Plant Research (6 papers), Plant Pathogens and Fungal Diseases (6 papers) and Berry genetics and cultivation research (4 papers). Diego Fajardo is often cited by papers focused on Potato Plant Research (6 papers), Plant Pathogens and Fungal Diseases (6 papers) and Berry genetics and cultivation research (4 papers). Diego Fajardo collaborates with scholars based in United States, Brazil and Switzerland. Diego Fajardo's co-authors include Juan Zalapa, Shelley Jansky, Nicholi Vorsa, James Polashock, Shawn A. Steffan, Brandon Schlautman, Huayu Zhu, Rebecca Harbut, Laura L. Georgi and Ehud Zelzion and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cold Spring Harbor Perspectives in Biology and Molecules.

In The Last Decade

Diego Fajardo

18 papers receiving 515 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 Fajardo United States 14 307 284 121 65 60 19 526
A. G. Manganaris Greece 15 583 1.9× 248 0.9× 183 1.5× 61 0.9× 86 1.4× 27 677
H. B. Mahesh India 14 439 1.4× 192 0.7× 108 0.9× 46 0.7× 77 1.3× 34 542
Ladislav Kučera Czechia 14 444 1.4× 160 0.6× 115 1.0× 27 0.4× 57 0.9× 44 509
María Belén Díaz-Hernández Spain 10 356 1.2× 127 0.4× 94 0.8× 62 1.0× 45 0.8× 14 442
Lihong Tian China 12 499 1.6× 293 1.0× 45 0.4× 38 0.6× 43 0.7× 20 635
Guido Cipriani Italy 8 502 1.6× 311 1.1× 150 1.2× 21 0.3× 88 1.5× 10 651
Jichun Wang China 12 506 1.6× 185 0.7× 34 0.3× 41 0.6× 46 0.8× 46 580
Carles Borredá Spain 6 434 1.4× 292 1.0× 77 0.6× 51 0.8× 41 0.7× 10 615
Hege H. Divon Norway 13 478 1.6× 165 0.6× 270 2.2× 33 0.5× 13 0.2× 15 580

Countries citing papers authored by Diego Fajardo

Since Specialization
Citations

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

Fields of papers citing papers by Diego Fajardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Fajardo

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

All Works

19 of 19 papers shown
1.
Schain, Aaron, Diego Fajardo, Andrew M. Strassman, et al.. (2025). OnabotulinumtoxinA alters pro- and anti-inflammatory dural macrophage response to CSD in female mice. Cephalalgia. 45(9). 2235423786–2235423786.
2.
Hixson, Kim, Diego Fajardo, Nicholas P. Devitt, et al.. (2023). Annotated genome sequence of a fast-growing diploid clone of red alder (Alnus rubra Bong.). G3 Genes Genomes Genetics. 13(6). 2 indexed citations
4.
Moll, Karen, Peng Zhou, Thiruvarangan Ramaraj, et al.. (2017). Strategies for optimizing BioNano and Dovetail explored through a second reference quality assembly for the legume model, Medicago truncatula. BMC Genomics. 18(1). 578–578. 39 indexed citations
5.
Benner, Steven A., et al.. (2016). Alternative Watson–Crick Synthetic Genetic Systems. Cold Spring Harbor Perspectives in Biology. 8(11). a023770–a023770. 75 indexed citations
6.
Schlautman, Brandon, Giovanny Covarrubias‐Pazaran, Diego Fajardo, Shawn A. Steffan, & Juan Zalapa. (2016). Discriminating power of microsatellites in cranberry organelles for taxonomic studies in Vaccinium and Ericaceae. Genetic Resources and Crop Evolution. 64(3). 451–466. 14 indexed citations
7.
Jansky, Shelley & Diego Fajardo. (2016). Amylose content decreases during tuber development in potato. Journal of the Science of Food and Agriculture. 96(13). 4560–4564. 20 indexed citations
8.
Schlautman, Brandon, Diego Fajardo, James Polashock, et al.. (2015). Development and Validation of 697 Novel Polymorphic Genomic and EST-SSR Markers in the American Cranberry (Vaccinium macrocarpon Ait.). Molecules. 20(2). 2001–2013. 30 indexed citations
9.
Polashock, James, Ehud Zelzion, Diego Fajardo, et al.. (2014). The American cranberry: first insights into the whole genome of a species adapted to bog habitat. BMC Plant Biology. 14(1). 165–165. 66 indexed citations
10.
Zalapa, Juan, Brandon Schlautman, Aidee Guzman, et al.. (2014). Clonal diversity and genetic differentiation revealed by SSR markers in wildVaccinium macrocarponandVaccinium oxycoccos. Annals of Applied Biology. 166(2). 196–207. 19 indexed citations
11.
Fugate, Karen, Diego Fajardo, Brandon Schlautman, et al.. (2014). Generation and Characterization of a Sugarbeet Transcriptome and Transcript‐Based SSR Markers. The Plant Genome. 7(2). 25 indexed citations
12.
Jansky, Shelley & Diego Fajardo. (2014). Tuber starch amylose content is associated with cold‐induced sweetening in potato. Food Science & Nutrition. 2(6). 628–633. 26 indexed citations
13.
Fajardo, Diego, Brandon Schlautman, Shawn A. Steffan, et al.. (2013). The American cranberry mitochondrial genome reveals the presence of selenocysteine (tRNA-Sec and SECIS) insertion machinery in land plants. Gene. 536(2). 336–343. 44 indexed citations
14.
Fajardo, Diego, Sastry S. Jayanty, & Shelley Jansky. (2013). Rapid High Throughput Amylose Determination in Freeze Dried Potato Tuber Samples. Journal of Visualized Experiments. 16 indexed citations
15.
Fajardo, Diego, Kathleen G. Haynes, & Shelley Jansky. (2013). Starch Characteristics of Modern and Heirloom Potato Cultivars. American Journal of Potato Research. 90(5). 460–469. 15 indexed citations
16.
Fajardo, Diego, Douglas Senalik, Mercedes Ames, et al.. (2012). Complete plastid genome sequence of Vaccinium macrocarpon: structure, gene content, and rearrangements revealed by next generation sequencing. Tree Genetics & Genomes. 9(2). 489–498. 85 indexed citations
17.
Fajardo, Diego, Huayu Zhu, Shawn A. Steffan, et al.. (2012). Discrimination of American Cranberry Cultivars and Assessment of Clonal Heterogeneity Using Microsatellite Markers. Plant Molecular Biology Reporter. 31(2). 264–271. 37 indexed citations
18.
Fajardo, Diego, et al.. (2003). Identificación de Genes R1 y R2 que confieren resistencia a Phytophthora infestans en genotipos colombianos de papa. SHILAP Revista de lepidopterología. 5 indexed citations
19.
Fajardo, Diego, et al.. (2000). Identificación y análisis de la variabilidad morfológica de 59 cultivares de papa criolla (Solanum phureja Juz. et Buk.). LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 17. 49–56. 1 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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