Shunichi KAMIMURA
- Agronomy and Crop Science top 1%
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Animal Science and Zoology top 5%
- Reproductive Medicine top 10%
- Co-authors
- W.W. ThatcherJ.A. BartoloméTatsuo TsukamotoT.R. BilbyAydın GüzeloğluF.T. SilvestreA.C.M. ArtecheŞükrü Metin PANCARCI
- Topics
- Reproductive Physiology in Livestock (38 papers)Genetic and phenotypic traits in livestock (24 papers)Reproductive Biology and Fertility (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Dairy ScienceTheriogenology
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Shunichi KAMIMURA
61 papers receiving 584 citations
Peers
Comparison fields: 5 of 66
- Agronomy and Crop Science 422
- Genetics 293
- Public Health, Environmental and Occupational Health 167
- Animal Science and Zoology 101
- Reproductive Medicine 75
Countries citing papers authored by Shunichi KAMIMURA
This map shows the geographic impact of Shunichi KAMIMURA'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 Shunichi KAMIMURA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunichi KAMIMURA more than expected).
Fields of papers citing papers by Shunichi KAMIMURA
This network shows the impact of papers produced by Shunichi KAMIMURA. 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 Shunichi KAMIMURA. The network helps show where Shunichi KAMIMURA may publish in the future.
Co-authorship network of co-authors of Shunichi KAMIMURA
This figure shows the co-authorship network connecting the top 25 collaborators of Shunichi KAMIMURA. A scholar is included among the top collaborators of Shunichi KAMIMURA 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 Shunichi KAMIMURA. Shunichi KAMIMURA 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 | 2 | |
| 3 | NOVEL IC THERMOMETER PLACED IN THE UTEROTUBAL JUNCTION TO MEASURE BOVINE UTERINE TEMPERATURE. TECHNICAL NOTE | 2 |
| 4 | Efficacy of CIDR Treatment against Ovarian Follicular Cysts in Cows | 0 |
| 5 | Distribution of ERα in the Bovine Dominant Follicle and Corpus Luteum | 1 |
| 6 | 50 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 10 | |
| 20 | 9 |
About Shunichi KAMIMURA
Shunichi KAMIMURA is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics, having authored 64 papers that have together received 620 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (38 papers), Genetic and phenotypic traits in livestock (24 papers) and Reproductive Biology and Fertility (14 papers). The work is most often cited by research in Agronomy and Crop Science (422 citations), Genetics (293 citations) and Animal Science and Zoology (101 citations). Shunichi KAMIMURA has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include W.W. Thatcher, J.A. Bartolomé, Tatsuo Tsukamoto, T.R. Bilby, Aydın Güzeloğlu, F.T. Silvestre, A.C.M. Arteche, Şükrü Metin PANCARCI, Go Kitahara and Tamao Noguchi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Theriogenology.
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.