Clint Schwab

1.0k total citations
25 papers, 563 citations indexed

About

Clint Schwab is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Clint Schwab has authored 25 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 12 papers in Animal Science and Zoology and 7 papers in Molecular Biology. Recurrent topics in Clint Schwab's work include Genetic and phenotypic traits in livestock (18 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Gut microbiota and health (7 papers). Clint Schwab is often cited by papers focused on Genetic and phenotypic traits in livestock (18 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Gut microbiota and health (7 papers). Clint Schwab collaborates with scholars based in United States and Italy. Clint Schwab's co-authors include Francesco Tiezzi, Christian Maltecca, Justin Fix, Caleb M Shull, Nathan P. McNulty, Constantino Schillebeeckx, Catherine W. Ernst, R. O. Bates, Juan P. Steibel and Duc Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Animal Science.

In The Last Decade

Clint Schwab

24 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clint Schwab United States 12 332 226 188 105 96 25 563
Duc Lu United States 11 388 1.2× 237 1.0× 118 0.6× 90 0.9× 111 1.2× 23 600
Justin Fix United States 13 281 0.8× 329 1.5× 90 0.5× 254 2.4× 59 0.6× 25 539
Ana María Sifuentes‐Rincón Mexico 11 230 0.7× 100 0.4× 54 0.3× 57 0.5× 58 0.6× 69 428
Simone Cristina Méo Niciura Brazil 12 213 0.6× 117 0.5× 78 0.4× 250 2.4× 68 0.7× 43 552
Pauline Martin France 15 653 2.0× 231 1.0× 83 0.4× 102 1.0× 62 0.6× 42 887
Jun-Kyu Son South Korea 10 126 0.4× 153 0.7× 81 0.4× 86 0.8× 14 0.1× 33 368
Justin Holl United States 15 447 1.3× 529 2.3× 48 0.3× 412 3.9× 62 0.6× 41 775
Aníbal Eugênio Vercesi Filho Brazil 13 419 1.3× 159 0.7× 82 0.4× 44 0.4× 94 1.0× 58 584
Sergio Iván Román-Ponce Mexico 12 333 1.0× 123 0.5× 70 0.4× 21 0.2× 105 1.1× 34 443
F. J. Lopez Mexico 11 611 1.8× 173 0.8× 85 0.5× 33 0.3× 192 2.0× 57 756

Countries citing papers authored by Clint Schwab

Since Specialization
Citations

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

Fields of papers citing papers by Clint Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clint Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of Clint Schwab. A scholar is included among the top collaborators of Clint Schwab 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 Clint Schwab. Clint Schwab 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.
Tiezzi, Francesco, Clint Schwab, Caleb M Shull, & Christian Maltecca. (2024). Multiple‐trait genomic prediction for swine meat quality traits using gut microbiome features as a correlated trait. Journal of Animal Breeding and Genetics. 142(1). 102–117. 1 indexed citations
2.
Shull, Caleb M, et al.. (2023). Analysis of polygenic selection in purebred and crossbred pig genomes using generation proxy selection mapping. Genetics Selection Evolution. 55(1). 62–62. 1 indexed citations
3.
Lourenço, Daniela, Christian Maltecca, Justin Fix, et al.. (2022). Genotyping and phenotyping strategies for genetic improvement of meat quality and carcass composition in swine. Genetics Selection Evolution. 54(1). 42–42. 7 indexed citations
4.
Schwab, Clint, et al.. (2022). Effects of boar sperm antioxidant supplementation on fertility. Animal Reproduction Science. 237. 106923–106923. 7 indexed citations
5.
Macciotta, N.P.P., Matteo Bergamaschi, Christian Maltecca, et al.. (2021). Genetic Parameters for Tolerance to Heat Stress in Crossbred Swine Carcass Traits. Frontiers in Genetics. 11. 612815–612815. 16 indexed citations
6.
Maltecca, Christian, Robert R. Dunn, Yuqing He, et al.. (2021). Microbial composition differs between production systems and is associated with growth performance and carcass quality in pigs. SHILAP Revista de lepidopterología. 3(1). 57–57. 9 indexed citations
7.
Maltecca, Christian, et al.. (2020). Microbiability of meat quality and carcass composition traits in swine. Journal of Animal Breeding and Genetics. 138(2). 223–236. 29 indexed citations
8.
Maltecca, Christian, et al.. (2020). Modeling host-microbiome interactions for the prediction of meat quality and carcass composition traits in swine. Genetics Selection Evolution. 52(1). 41–41. 16 indexed citations
9.
Bergamaschi, Matteo, Christian Maltecca, Constantino Schillebeeckx, et al.. (2020). Heritability and genome-wide association of swine gut microbiome features with growth and fatness parameters. Scientific Reports. 10(1). 10134–10134. 52 indexed citations
10.
Tiezzi, Francesco, Justin Fix, Clint Schwab, Caleb M Shull, & Christian Maltecca. (2020). Gut microbiome mediates host genomic effects on phenotypes: a case study with fat deposition in pigs. Computational and Structural Biotechnology Journal. 19. 530–544. 20 indexed citations
11.
Tiezzi, Francesco, Luiz F. Brito, Jeremy Howard, et al.. (2020). Genomics of Heat Tolerance in Reproductive Performance Investigated in Four Independent Maternal Lines of Pigs. Frontiers in Genetics. 11. 29 indexed citations
12.
Maltecca, Christian, Duc Lu, Constantino Schillebeeckx, et al.. (2019). Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms. Scientific Reports. 9(1). 6574–6574. 45 indexed citations
13.
Bergamaschi, Matteo, Christian Maltecca, Clint Schwab, Justin Fix, & Francesco Tiezzi. (2019). 213 Genomic selection of carcass quality traits in crossbred pigs using a reference population. Journal of Animal Science. 97(Supplement_3). 41–41. 1 indexed citations
14.
Putz, Austin M., Clint Schwab, Derald Holtkamp, et al.. (2018). The effect of a porcine reproductive and respiratory syndrome outbreak on genetic parameters and reaction norms for reproductive performance in pigs1. Journal of Animal Science. 97(3). 1101–1116. 6 indexed citations
15.
Lu, Duc, et al.. (2018). Contribution of Microbiome to Variation in Fat and Growth Traits in Crossbred Pigs. Proceedings of the World Congress on Genetics Applied to Livestock Production. 614. 1 indexed citations
16.
Li, Honghao, et al.. (2018). On the value of genotyping terminal crossbred pigs for nucleus genomic selection for carcass traits.. Proceedings of the World Congress on Genetics Applied to Livestock Production. 775. 5 indexed citations
17.
Lu, Duc, Francesco Tiezzi, Constantino Schillebeeckx, et al.. (2018). Host contributes to longitudinal diversity of fecal microbiota in swine selected for lean growth. Microbiome. 6(1). 4–4. 103 indexed citations
18.
Maltecca, Christian, et al.. (2018). Metagenomic Predictions of Growth and Carcass Traits in Pigs with the Use of Bayesian Alphabet and Machine Learning Methods.. Proceedings of the World Congress on Genetics Applied to Livestock Production. 314. 2 indexed citations
19.
Bates, R. O., Catherine W. Ernst, Clint Schwab, et al.. (2013). Methods of tagSNP selection and other variables affecting imputation accuracy in swine. BMC Genetics. 14(1). 8–8. 35 indexed citations
20.
Bates, R. O., et al.. (2012). Estimation of linkage disequilibrium in four US pig breeds. BMC Genomics. 13(1). 24–24. 116 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Duc Lu Breakdown of academic impact, for papers by Justin Fix Breakdown of academic impact, for papers by Ana María Sifuentes‐Rincón Breakdown of academic impact, for papers by Simone Cristina Méo Niciura Breakdown of academic impact, for papers by Pauline Martin Breakdown of academic impact, for papers by Jun-Kyu Son Breakdown of academic impact, for papers by Justin Holl Breakdown of academic impact, for papers by Aníbal Eugênio Vercesi Filho Breakdown of academic impact, for papers by Sergio Iván Román-Ponce Breakdown of academic impact, for papers by F. J. Lopez
Rankless by CCL
2026