Clint Schwab
- Genetics top 10%
- Animal Science and Zoology top 2%
- Molecular Biology
- Small Animals top 5%
- Plant Science
- Co-authors
- Francesco TiezziChristian MalteccaJustin FixCaleb M ShullNathan P. McNultyConstantino SchillebeeckxCatherine W. ErnstR. O. Bates
- Topics
- Genetic and phenotypic traits in livestock (18 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)Gut microbiota and health (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Animal Science
- Partner nations
- United StatesItaly
In The Last Decade
Clint Schwab
24 papers receiving 558 citations
Peers
Comparison fields: 5 of 58
- Genetics 332
- Animal Science and Zoology 226
- Molecular Biology 188
- Small Animals 105
- Plant Science 96
Countries citing papers authored by Clint Schwab
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 9 | |
| 7 | 29 | |
| 8 | 16 | |
| 9 | 52 | |
| 10 | 20 | |
| 11 | 29 | |
| 12 | 45 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | Contribution of Microbiome to Variation in Fat and Growth Traits in Crossbred Pigs | 1 |
| 16 | On the value of genotyping terminal crossbred pigs for nucleus genomic selection for carcass traits. | 5 |
| 17 | 103 | |
| 18 | Metagenomic Predictions of Growth and Carcass Traits in Pigs with the Use of Bayesian Alphabet and Machine Learning Methods. | 2 |
| 19 | 35 | |
| 20 | 116 |
About Clint Schwab
Clint Schwab is a scholar working on Animal Science and Zoology, Genetics and Small Animals, having authored 25 papers that have together received 563 indexed citations. Recurring topics across this 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). The work is most often cited by research in Animal Science and Zoology (226 citations), Small Animals (105 citations) and Genetics (332 citations). Clint Schwab has collaborated with scholars based in United States and Italy. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Animal Science.
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.