T. Nishimura
- Genetics top 2%
- Physiology top 0.5%
- Molecular Biology
- Reproductive Medicine top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Minoru TanakaShuhei NakamuraH. KanoKayo KobayashiIkuko WatakabeShin‐ichi HigashijimaYoshihito TaniguchiAtsushi Toyoda
- Topics
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (19 papers)Reproductive biology and impacts on aquatic species (16 papers)Sperm and Testicular Function (13 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
T. Nishimura
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Genetics 849
- Physiology 560
- Molecular Biology 416
- Reproductive Medicine 304
- Control and Systems Engineering 179
Countries citing papers authored by T. Nishimura
This map shows the geographic impact of T. Nishimura'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. Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nishimura more than expected).
Fields of papers citing papers by T. Nishimura
This network shows the impact of papers produced by T. Nishimura. 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. Nishimura. The network helps show where T. Nishimura may publish in the future.
Co-authorship network of co-authors of T. Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of T. Nishimura. A scholar is included among the top collaborators of T. Nishimura 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. Nishimura. T. Nishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 21 | |
| 10 | 8 | |
| 11 | 105 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 37 | |
| 15 | 88 | |
| 16 | 186 | |
| 17 | Physical and chemical properties of soils in the fire-affected forest of east Kalimantan, Indonesia. | 7 |
| 18 | Tracking and orbit determination of deep-space probes in ISAS mission | 2 |
| 19 | 1 | |
| 20 | 1 |
About T. Nishimura
T. Nishimura is a scholar working on Physiology, Reproductive Medicine and Genetics, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (19 papers), Reproductive biology and impacts on aquatic species (16 papers) and Sperm and Testicular Function (13 papers). The work is most often cited by research in Physiology (560 citations), Reproductive Medicine (304 citations) and Genetics (849 citations). T. Nishimura has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Minoru Tanaka, Shuhei Nakamura, H. Kano, Kayo Kobayashi, Ikuko Watakabe, Shin‐ichi Higashijima, Yoshihito Taniguchi, Atsushi Toyoda, Takafumi Fujimoto and Rie Goto-Kazeto. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.