Oscar E. Ospina

515 total citations
31 papers, 279 citations indexed

About

Oscar E. Ospina is a scholar working on Molecular Biology, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Oscar E. Ospina has authored 31 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Global and Planetary Change and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Oscar E. Ospina's work include Amphibian and Reptile Biology (11 papers), Single-cell and spatial transcriptomics (7 papers) and Animal Behavior and Reproduction (4 papers). Oscar E. Ospina is often cited by papers focused on Amphibian and Reptile Biology (11 papers), Single-cell and spatial transcriptomics (7 papers) and Animal Behavior and Reproduction (4 papers). Oscar E. Ospina collaborates with scholars based in United States, Puerto Rico and Colombia. Oscar E. Ospina's co-authors include Carlos J. Corrada-Bravo, Luis J. Villanueva-Rivera, T. Mitchell Aide, Juan C. García–R, Héiber Cárdenas, Brooke L. Fridley, Christopher M. Wilson, Fernando Castro‐Herrera, Lauren C. Peres and J. C. V. Rodrigues and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Oscar E. Ospina

26 papers receiving 274 citations

Peers

Oscar E. Ospina
Matthew G. Nowak United States
Rose Upton Australia
Ming Tu China
David W. Bradley United States
Konrad Mebert Switzerland
Rocío Aguilar Australia
Brendan J. Pinto United States
Carlos R. Infante United States
Matthew G. Nowak United States
Oscar E. Ospina
Citations per year, relative to Oscar E. Ospina Oscar E. Ospina (= 1×) peers Matthew G. Nowak

Countries citing papers authored by Oscar E. Ospina

Since Specialization
Citations

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

Fields of papers citing papers by Oscar E. Ospina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oscar E. Ospina. 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 Oscar E. Ospina. The network helps show where Oscar E. Ospina may publish in the future.

Co-authorship network of co-authors of Oscar E. Ospina

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar E. Ospina. A scholar is included among the top collaborators of Oscar E. Ospina 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 Oscar E. Ospina. Oscar E. Ospina 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.
Carvalho, Larissa Anastácio da Costa, Nataliya Tovbis Shifrin, Michael F. Emmons, et al.. (2025). RAS(ON) Multiselective Inhibition Drives Antitumor Immunity in Preclinical Models of NRAS-Mutant Melanoma. Cancer Immunology Research. 14(1). 90–106.
2.
Carr, Caitlin, Christophe Ferrari, Joseph Johnson, et al.. (2025). Reproducible Sectioning and Sample Preparation for Mass Spectrometry Imaging of Cancer Metabolism in Frozen Lung Tissue. Methods in molecular biology. 2925. 309–328. 1 indexed citations
3.
Ospina, Oscar E., Dipak Kumar Sahoo, Pablo Piñeyro, et al.. (2025). Establishment and transcriptomic characterization of canine organoids from multiple tissues. Frontiers in Cell and Developmental Biology. 13. 1680376–1680376.
4.
Ospina, Oscar E., Inna Smalley, Kenneth Y. Tsai, et al.. (2024). Abstract 876: spatialGE: Empowering researchers to study the tumor microenvironment leveraging spatial transcriptomics. Cancer Research. 84(6_Supplement). 876–876.
5.
Ospina, Oscar E., et al.. (2024). Differential gene expression analysis of spatial transcriptomic experiments using spatial mixed models. Scientific Reports. 14(1). 10967–10967. 6 indexed citations
6.
Alhaddad, Hasan, Oscar E. Ospina, Mariam Lotfy Khaled, et al.. (2024). Spatial transcriptomics analysis identifies a tumor-promoting function of the meningeal stroma in melanoma leptomeningeal disease. Cell Reports Medicine. 5(6). 101606–101606. 3 indexed citations
7.
Ospina, Oscar E., Inna Smalley, Kenneth Y. Tsai, et al.. (2024). spatialGE Is a User-Friendly Web Application That Facilitates Spatial Transcriptomics Data Analysis. Cancer Research. 85(5). 848–858. 3 indexed citations
8.
Sifuentes‐Romero, Itzel, Dipak Kumar Sahoo, Oscar E. Ospina, et al.. (2024). Establishment and characterization of turtle liver organoids provides a potential model to decode their unique adaptations. Communications Biology. 7(1). 218–218. 3 indexed citations
9.
Ospina, Oscar E., et al.. (2023). A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics Data. Methods in molecular biology. 2629. 115–140. 2 indexed citations
10.
Ospina, Oscar E., et al.. (2023). Factors associated with overall survival in patients with melanoma leptomeningeal disease (M-LMD): A single institution retrospective review.. Journal of Clinical Oncology. 41(16_suppl). e21548–e21548.
11.
Khaled, Mariam Lotfy, Brittany Evernden, Zhihua Chen, et al.. (2023). Abstract 1192: Branched-chain keto acids exert an immune-suppressive and neurodegenerative microenvironment in CNS leptomeningeal lymphoma. Cancer Research. 83(7_Supplement). 1192–1192. 1 indexed citations
12.
Ospina, Oscar E., et al.. (2023). The population genetics of speciation by cascade reinforcement. Ecology and Evolution. 13(2). e9773–e9773. 2 indexed citations
13.
Ospina, Oscar E., Christopher M. Wilson, Anders Berglund, et al.. (2022). spatialGE: quantification and visualization of the tumor microenvironment heterogeneity using spatial transcriptomics. Bioinformatics. 38(9). 2645–2647. 14 indexed citations
14.
Ospina, Oscar E., et al.. (2021). The status of the anomalepidid snake Liotyphlops albirostris and the revalidation of three taxa based on morphology and ecological niche models. The Anatomical Record. 304(10). 2264–2278. 8 indexed citations
15.
Ospina, Oscar E., et al.. (2021). Neurogenomic divergence during speciation by reinforcement of mating behaviors in chorus frogs (Pseudacris). BMC Genomics. 22(1). 711–711. 5 indexed citations
16.
Bauer, Aaron M., et al.. (2021). The herpetological contributions of Richard Thomas. The Anatomical Record. 304(10). 2095–2109. 1 indexed citations
17.
Soto-Girón, Maria J., Oscar E. Ospina, & Steven E. Massey. (2015). Elevated levels of adaption in Helicobacter pylori genomes from Japan; a link to higher incidences of gastric cancer?. Evolution Medicine and Public Health. 2015(1). 88–105. 5 indexed citations
18.
Ospina, Oscar E., et al.. (2015). Evaluación Piloto de una Escala de Clasificación Audiométrica de HNIR, Aplicable a los Programas de Vigilancia Epidemiológica. SHILAP Revista de lepidopterología. 3(4). 12–15. 1 indexed citations
20.
García–R, Juan C., et al.. (2012). Comparative Phylogeography of Direct-Developing Frogs (Anura: Craugastoridae: Pristimantis) in the Southern Andes of Colombia. PLoS ONE. 7(9). e46077–e46077. 25 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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