T. Huanca
- Reproductive Medicine top 10%
- Public Health, Environmental and Occupational Health
- Agronomy and Crop Science top 10%
- Genetics
- Food Science
- Co-authors
- Wilfredo Huanca L.Néstor SepúlvedaRaúl SánchezGregory P. AdamsMarcelo RattoJuan Pablo GutiérrezPatricia HudelsonAlessandro Valbonesi
- Topics
- Reproductive Physiology in Livestock (7 papers)Reproductive Biology and Fertility (6 papers)Genetic and phenotypic traits in livestock (5 papers)
In The Last Decade
T. Huanca
19 papers receiving 196 citations
Peers
Comparison fields: 5 of 64
- Reproductive Medicine 96
- Public Health, Environmental and Occupational Health 77
- Agronomy and Crop Science 72
- Genetics 64
- Food Science 30
Countries citing papers authored by T. Huanca
This map shows the geographic impact of T. Huanca'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 T. Huanca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Huanca more than expected).
Fields of papers citing papers by T. Huanca
This network shows the impact of papers produced by T. Huanca. 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 T. Huanca. The network helps show where T. Huanca may publish in the future.
Co-authorship network of co-authors of T. Huanca
This figure shows the co-authorship network connecting the top 25 collaborators of T. Huanca. A scholar is included among the top collaborators of T. Huanca 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 T. Huanca. T. Huanca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | Challenges and opportunities of genetic improvement in alpacas and llamas in Peru | 8 |
| 5 | 1 | |
| 6 | 20 | |
| 7 | Twin reciprocal embryo transfer between alpacas and llamas | 2 |
| 8 | Evaluación del peso al nacimiento, destete, al año de edad y curva de crecimiento de alpacas y llamas cría nacidas por transferencia de embriones interespecies | 2 |
| 9 | 16 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 14 | |
| 13 | 25 | |
| 14 | 1 | |
| 15 | Biotecnologias reproductivas en camelidos sudamericanos domesticos:avances y perspectivas | 4 |
| 16 | Embryo transfer in camelids: Study of a reliable superovulatory treatment in llamas | 1 |
| 17 | 61 | |
| 18 | Manual del Alpaquero | 2 |
| 19 | 18 |
About T. Huanca
T. Huanca is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Equine, having authored 19 papers that have together received 207 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Reproductive Biology and Fertility (6 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Reproductive Medicine (96 citations), Equine (15 citations) and Agronomy and Crop Science (72 citations). T. Huanca has collaborated with scholars based in Peru, Chile and Italy. Frequent co-authors include Wilfredo Huanca L., Néstor Sepúlveda, Raúl Sánchez, Gregory P. Adams, Marcelo Ratto, Juan Pablo Gutiérrez, Patricia Hudelson, Alessandro Valbonesi, C. Renieri and María Wurzinger. Their work appears in journals such as Social Science & Medicine, Theriogenology and Animal Reproduction 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.