T. Takedomi
- Public Health, Environmental and Occupational Health top 10%
- Agronomy and Crop Science top 2%
- Genetics
- Reproductive Medicine top 5%
- Molecular Biology
- Co-authors
- Masato KonishiY. AoyagiGen WatanabeKazuyoshi TayaHisashi KishiHiroyuki KanekoSatoru MoriyasuS. Sasamoto
- Topics
- Reproductive Physiology in Livestock (15 papers)Reproductive Biology and Fertility (13 papers)Genetic and phenotypic traits in livestock (6 papers)
- Cited by
- Agronomy and Crop ScienceReproductive MedicinePublic Health, Environmental and Occupational Health
- Journals
- Biochemical and Biophysical Research CommunicationsTheriogenologyAnimal Reproduction Science
- Partner nations
- JapanIndiaBangladesh
In The Last Decade
T. Takedomi
22 papers receiving 367 citations
Peers
Comparison fields: 5 of 42
- Public Health, Environmental and Occupational Health 245
- Agronomy and Crop Science 241
- Genetics 154
- Reproductive Medicine 99
- Molecular Biology 72
Countries citing papers authored by T. Takedomi
This map shows the geographic impact of T. Takedomi'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. Takedomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Takedomi more than expected).
Fields of papers citing papers by T. Takedomi
This network shows the impact of papers produced by T. Takedomi. 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. Takedomi. The network helps show where T. Takedomi may publish in the future.
Co-authorship network of co-authors of T. Takedomi
This figure shows the co-authorship network connecting the top 25 collaborators of T. Takedomi. A scholar is included among the top collaborators of T. Takedomi 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. Takedomi. T. Takedomi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 34 | |
| 3 | 12 | |
| 4 | 30 | |
| 5 | 29 | |
| 6 | 1 | |
| 7 | 37 | |
| 8 | 24 | |
| 9 | 29 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 25 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | 27 | |
| 16 | 32 | |
| 17 | 6 | |
| 18 | 15 | |
| 19 | 2 | |
| 20 | 8 |
About T. Takedomi
T. Takedomi is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 384 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (15 papers), Reproductive Biology and Fertility (13 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Agronomy and Crop Science (241 citations), Reproductive Medicine (99 citations) and Public Health, Environmental and Occupational Health (245 citations). T. Takedomi has collaborated with scholars based in Japan, India and Bangladesh. Frequent co-authors include Masato Konishi, Y. Aoyagi, Gen Watanabe, Kazuyoshi Taya, Hisashi Kishi, Hiroyuki Kaneko, Satoru Moriyasu, S. Sasamoto, Anup Kumar Talukder and Mohammad Bazlur Rashid. Their work appears in journals such as Biochemical and Biophysical Research Communications, 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.