Yu‐Ming Chang
- Agronomy and Crop Science top 1%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Small Animals top 2%
- Animal Science and Zoology top 5%
- Co-authors
- Jennifer I. LuebkeDaniel GianolaB. HeringstadG. KlemetsdalP.M. FrickeSteven StewartNoelia Silva del RioPaul Rapnicki
- Topics
- Genetic and phenotypic traits in livestock (10 papers)Reproductive Physiology in Livestock (10 papers)Acute Ischemic Stroke Management (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of NeurophysiologyNeuroscience
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Yu‐Ming Chang
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Agronomy and Crop Science 472
- Genetics 458
- Cellular and Molecular Neuroscience 314
- Small Animals 208
- Animal Science and Zoology 194
Countries citing papers authored by Yu‐Ming Chang
This map shows the geographic impact of Yu‐Ming Chang'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 Yu‐Ming Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Ming Chang more than expected).
Fields of papers citing papers by Yu‐Ming Chang
This network shows the impact of papers produced by Yu‐Ming Chang. 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 Yu‐Ming Chang. The network helps show where Yu‐Ming Chang may publish in the future.
Co-authorship network of co-authors of Yu‐Ming Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Ming Chang. A scholar is included among the top collaborators of Yu‐Ming Chang 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 Yu‐Ming Chang. Yu‐Ming Chang 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 | 4 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 90 | |
| 13 | 38 | |
| 14 | 38 | |
| 15 | 93 | |
| 16 | Bayesian inference for calving ease and stillbirth in Holsteins using a bivariate threshold sire-maternal grandsire model. | 15 |
| 17 | Genetic analysis of mastitis and number of services to conception in Norwegian Red using a censored threshold model. | 1 |
| 18 | 77 | |
| 19 | 33 | |
| 20 | 9 |
About Yu‐Ming Chang
Yu‐Ming Chang is a scholar working on Agronomy and Crop Science, Family Practice and Internal Medicine, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (10 papers), Reproductive Physiology in Livestock (10 papers) and Acute Ischemic Stroke Management (7 papers). The work is most often cited by research in Agronomy and Crop Science (472 citations), Small Animals (208 citations) and Sensory Systems (104 citations). Yu‐Ming Chang has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Jennifer I. Luebke, Daniel Gianola, B. Heringstad, G. Klemetsdal, P.M. Fricke, Steven Stewart, Noelia Silva del Rio, Paul Rapnicki, Michael Gonda and G.E. Shook. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Neuroscience.
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.