Kyle Tretina

987 total citations · 1 hit paper
14 papers, 588 citations indexed

About

Kyle Tretina is a scholar working on Parasitology, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kyle Tretina has authored 14 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Parasitology, 6 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kyle Tretina's work include Vector-borne infectious diseases (8 papers), Vector-Borne Animal Diseases (6 papers) and vaccines and immunoinformatics approaches (2 papers). Kyle Tretina is often cited by papers focused on Vector-borne infectious diseases (8 papers), Vector-Borne Animal Diseases (6 papers) and vaccines and immunoinformatics approaches (2 papers). Kyle Tretina collaborates with scholars based in United States, Kenya and United Kingdom. Kyle Tretina's co-authors include Agnieszka Mamińska, John D. MacMicking, Eui‐Soon Park, Joana C. Silva, David J. Mann, Roger Pellé, Richard P. Bishop, Catherine Lozupone, David Odongo and Diana Ir and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Kyle Tretina

14 papers receiving 583 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery

2024 65 citations Petrina Kamya, Ivan V. Ozerov et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle Tretina United States	10	231	211	141	140	117	14	588
Hyung-Yong Kim South Korea	14	214 0.9×	163 0.8×	140 1.0×	154 1.1×	28 0.2×	25	604
Elizabeth Delaney United States	12	306 1.3×	213 1.0×	65 0.5×	322 2.3×	50 0.4×	13	601
Christoph Schoerner Germany	15	283 1.2×	119 0.6×	84 0.6×	254 1.8×	70 0.6×	32	701
L C Lim United States	14	329 1.4×	153 0.7×	101 0.7×	322 2.3×	94 0.8×	26	604
Marilis Rodriguez United States	18	308 1.3×	187 0.9×	237 1.7×	221 1.6×	57 0.5×	37	1.0k
Jeanette V. Bishop United States	14	92 0.4×	99 0.5×	118 0.8×	82 0.6×	59 0.5×	28	614
Jérôme Dellacasagrande France	12	242 1.0×	129 0.6×	261 1.9×	176 1.3×	40 0.3×	16	647
Wen Pan China	12	61 0.3×	166 0.8×	211 1.5×	199 1.4×	25 0.2×	21	541
Kenneth Munroe United States	7	109 0.5×	139 0.7×	251 1.8×	86 0.6×	27 0.2×	11	482
Ming Sun China	16	46 0.2×	211 1.0×	262 1.9×	258 1.8×	28 0.2×	61	813

Countries citing papers authored by Kyle Tretina

Since Specialization

Citations

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

Fields of papers citing papers by Kyle Tretina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Tretina

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

All Works

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14 of 14 papers shown

Kamya, Petrina, Ivan V. Ozerov, Frank W. Pun, et al.. (2024). PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery. Journal of Chemical Information and Modeling. 64(10). 3961–3969. 65 indexed citations breakdown →

Perea, Sofía, et al.. (2022). Saliva-Based, COVID-19 RT-PCR Pooled Screening Strategy to Keep Schools Open. Disaster Medicine and Public Health Preparedness. 17. e70–e70. 4 indexed citations

Morrison, W. Ivan, Tara A. Sheldrake, Kyle Tretina, et al.. (2021). CD4 T Cell Responses to Theileria parva in Immune Cattle Recognize a Diverse Set of Parasite Antigens Presented on the Surface of Infected Lymphoblasts. The Journal of Immunology. 207(8). 1965–1977. 5 indexed citations

Tretina, Kyle, Joshua Orvis, Jonathan Crabtree, et al.. (2020). Capture-based enrichment of Theileria parva DNA enables full genome assembly of first buffalo-derived strain and reveals exceptional intra-specific genetic diversity. PLoS neglected tropical diseases. 14(10). e0008781–e0008781. 6 indexed citations

Tretina, Kyle, Roger Pellé, Joshua Orvis, et al.. (2020). Re-annotation of the Theileria parva genome refines 53% of the proteome and uncovers essential components of N-glycosylation, a conserved pathway in many organisms. BMC Genomics. 21(1). 279–279. 17 indexed citations

Tretina, Kyle, Sally A. Madsen‐Bouterse, Takaya Sakura, et al.. (2020). Theileria parasites subvert E2F signaling to stimulate leukocyte proliferation. Scientific Reports. 10(1). 3982–3982. 12 indexed citations

Tretina, Kyle, Eui‐Soon Park, Agnieszka Mamińska, & John D. MacMicking. (2019). Interferon-induced guanylate-binding proteins: Guardians of host defense in health and disease. The Journal of Experimental Medicine. 216(3). 482–500. 200 indexed citations

Knowles, Donald P., Lowell S. Kappmeyer, David R. Herndon, et al.. (2018). Discovery of a novel species, Theileria haneyi n. sp., infective to equids, highlights exceptional genomic diversity within the genus Theileria: implications for apicomplexan parasite surveillance. International Journal for Parasitology. 48(9-10). 679–690. 85 indexed citations

Nyagwange, James, Edwin Tijhaar, Nicola Ternette, et al.. (2017). Characterization of the Theileria parva sporozoite proteome. International Journal for Parasitology. 48(3-4). 265–273. 17 indexed citations

10.

Frank, Daniel N., Steven Wai Ho Chau, Diana Ir, et al.. (2017). Associations between acute gastrointestinal GvHD and the baseline gut microbiota of allogeneic hematopoietic stem cell transplant recipients and donors. Bone Marrow Transplantation. 52(12). 1643–1650. 56 indexed citations

11.

Tretina, Kyle, Roger Pellé, & Joana C. Silva. (2016). Cis regulatory motifs and antisense transcriptional control in the apicomplexan Theileria parva. BMC Genomics. 17(1). 128–128. 11 indexed citations

12.

Bishop, Richard P., Roger Pellé, Weihong Qi, et al.. (2015). The genomes of three stocks comprising the most widely utilized live sporozoite Theileria parva vaccine exhibit very different degrees and patterns of sequence divergence. BMC Genomics. 16(1). 729–729. 20 indexed citations

13.

Tretina, Kyle, et al.. (2015). Theileria-transformed bovine leukocytes have cancer hallmarks. Trends in Parasitology. 31(7). 306–314. 88 indexed citations

14.

Zale, Elizabeth, et al.. (2012). Selected Commensals Mediate GvHD Via MyD88-Dependent Signaling in Non-Hematopoietic Cells.. Blood. 120(21). 3005–3005. 2 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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