Roberto A. Saenz

642 total citations
21 papers, 426 citations indexed

About

Roberto A. Saenz is a scholar working on Genetics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Roberto A. Saenz has authored 21 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Roberto A. Saenz's work include Evolution and Genetic Dynamics (5 papers), Influenza Virus Research Studies (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). Roberto A. Saenz is often cited by papers focused on Evolution and Genetic Dynamics (5 papers), Influenza Virus Research Studies (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). Roberto A. Saenz collaborates with scholars based in United States, Mexico and United Kingdom. Roberto A. Saenz's co-authors include Herbert W. Hethcote, Gregory C. Gray, Julia R. Gog, Bryan T. Grenfell, James L. N. Wood, Michelle Quinlivan, Shona MacRae, Paul Digard, Ann Cullinane and J. A. Mumford and has published in prestigious journals such as PLoS ONE, Journal of Virology and Scientific Reports.

In The Last Decade

Roberto A. Saenz

20 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto A. Saenz United States 10 193 129 117 105 89 21 426
Sonia T. Hegde United States 12 200 1.0× 209 1.6× 56 0.5× 126 1.2× 39 0.4× 28 513
Luke Blackwell United Kingdom 5 143 0.7× 98 0.8× 26 0.2× 57 0.5× 36 0.4× 5 314
Lidewij Wiersma Netherlands 14 171 0.9× 328 2.5× 33 0.3× 50 0.5× 100 1.1× 25 589
Matthew Peacey New Zealand 10 209 1.1× 180 1.4× 33 0.3× 43 0.4× 36 0.4× 19 490
Craig Thompson United Kingdom 8 142 0.7× 190 1.5× 47 0.4× 37 0.4× 22 0.2× 17 324
Airn E. Hartwig United States 13 80 0.4× 573 4.4× 54 0.5× 101 1.0× 21 0.2× 33 709
Jason S. Richardson Canada 15 188 1.0× 510 4.0× 48 0.4× 104 1.0× 14 0.2× 25 727
Faraimunashe Chirove South Africa 11 38 0.2× 136 1.1× 150 1.3× 125 1.2× 20 0.2× 39 313
Christine Kreuder Johnson United States 5 45 0.2× 291 2.3× 68 0.6× 159 1.5× 63 0.7× 5 416
Jorge M. Dinis United States 10 198 1.0× 119 0.9× 11 0.1× 58 0.6× 71 0.8× 13 400

Countries citing papers authored by Roberto A. Saenz

Since Specialization
Citations

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

Fields of papers citing papers by Roberto A. Saenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto A. Saenz

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto A. Saenz. A scholar is included among the top collaborators of Roberto A. Saenz 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 Roberto A. Saenz. Roberto A. Saenz 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.
Olmos‐Liceaga, Daniel, Sandro Filipe Nunes, & Roberto A. Saenz. (2023). Ex Vivo Experiments Shed Light on the Innate Immune Response from Influenza Virus. Bulletin of Mathematical Biology. 85(11). 115–115. 2 indexed citations
2.
Saenz, Roberto A., Alonso A. López-Zavala, Yair Cárdenas‐Conejo, et al.. (2023). Binding Specificity of a Novel Cyclo/Maltodextrin-Binding Protein and Its Role in the Cyclodextrin ABC Importer System from Thermoanaerobacterales. Molecules. 28(16). 6080–6080.
3.
Centeno‐Leija, Sara, Yair Cárdenas‐Conejo, Roberto A. Saenz, et al.. (2022). Mining for novel cyclomaltodextrin glucanotransferases unravels the carbohydrate metabolism pathway via cyclodextrins in Thermoanaerobacterales. Scientific Reports. 12(1). 730–730. 6 indexed citations
4.
Tariq, Amna, Juan M. Banda, Pavel Skums, et al.. (2021). Transmission dynamics and forecasts of the COVID-19 pandemic in Mexico, March-December 2020. PLoS ONE. 16(7). e0254826–e0254826. 17 indexed citations
5.
Bbosa, Nicholas, Deogratius Ssemwanga, Pontiano Kaleebu, et al.. (2021). Employing phylogenetic tree shape statistics to resolve the underlying host population structure. BMC Bioinformatics. 22(1). 546–546. 3 indexed citations
6.
Mugisha, J., et al.. (2016). Estimation of the HIV-1 backward mutation rate from transmitted drug-resistant strains. Theoretical Population Biology. 112. 33–42. 5 indexed citations
7.
Mugisha, J., et al.. (2012). The role of backward mutations on the within-host dynamics of HIV-1. Journal of Mathematical Biology. 67(5). 1111–1139. 11 indexed citations
8.
Saenz, Roberto A., Steve Essen, Sharon M. Brookes, et al.. (2012). Quantifying Transmission of Highly Pathogenic and Low Pathogenicity H7N1 Avian Influenza in Turkeys. PLoS ONE. 7(9). e45059–e45059. 30 indexed citations
9.
Saenz, Roberto A. & Sebastian Bonhoeffer. (2012). Nested model reveals potential amplification of an HIV epidemic due to drug resistance. Epidemics. 5(1). 34–43. 18 indexed citations
10.
Conlan, Andrew J. K., et al.. (2010). Measuring social networks in British primary schools through scientific engagement. Proceedings of the Royal Society B Biological Sciences. 278(1711). 1467–1475. 41 indexed citations
11.
Saenz, Roberto A., Michelle Quinlivan, Debra Elton, et al.. (2010). Dynamics of Influenza Virus Infection and Pathology. Journal of Virology. 84(8). 3974–3983. 152 indexed citations
12.
Saenz, Roberto A., Herbert W. Hethcote, & Gregory C. Gray. (2006). Confined Animal Feeding Operations as Amplifiers of Influenza. Vector-Borne and Zoonotic Diseases. 6(4). 338–346. 67 indexed citations
13.
Saenz, Roberto A. & Herbert W. Hethcote. (2006). Competing species models with an infectious disease. Mathematical Biosciences & Engineering. 3(1). 219–235. 25 indexed citations
14.
Yakubu, Abdul‐Aziz, et al.. (2004). Monarch butterfly spatially discrete advection model. Mathematical Biosciences. 190(2). 183–202. 18 indexed citations
15.
Saenz, Roberto A., et al.. (2002). Intraspecific Competition in the Population of Danaus plexippus(L.). eCommons (Cornell University). 1 indexed citations
16.
González, Paula, et al.. (2000). Dispersal Between Two Patches in a Discrete Time SEIS Model. eCommons (Cornell University). 5 indexed citations
17.
Saenz, Roberto A., et al.. (1999). Dynamics of the Spruce Budworm Population Under the Action of Predation and Insecticides. eCommons (Cornell University). 1 indexed citations
18.
Saenz, Roberto A., et al.. (1996). Stochastic Simulations of a Spatial SIR Model. eCommons (Cornell University). 1 indexed citations
19.
Saenz, Roberto A., et al.. (1995). Enalapril-induced regression of hypertensive left ventricular hypertrophy, regional ischemia, and microvascular angina. The American Journal of Cardiology. 75(12). 850–852. 12 indexed citations
20.
Saenz, Roberto A., et al.. (1980). Studies on choline and ethanolamine phosphoglyceride biosynthesis in developing rabbit brain. Journal of Neuroscience Research. 5(5). 431–438. 9 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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