Tomoko Uchida
Impact in
-
- Bat Biology and Ecology Studies
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
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- Bat Biology and Ecology Studies 19
- Co-authors
- Shinya Shiraishi (3 shared papers)Koichi Andō (4 shared papers)Takumi Fukumoto (1 shared paper)Kentaro Fujishiro (2 shared papers)Takashi Wada (2 shared papers)Yoshiko Yano (1 shared paper)M. Brock Fenton (1 shared paper)M. I. Avery (1 shared paper)
- Journals
- Reproduction (11 papers)Cellular and Molecular Life Sciences (3 papers)Brain and Development (2 papers)The Journal of Antibiotics (1 paper)Journal of Mammalogy (1 paper)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Tomoko Uchida
41 papers receiving 657 citations
Peers
Comparison fields: 5 of 88
- Ecology, Evolution, Behavior and Systematics 292
- Parasitology 68
- Paleontology 70
- Cardiology and Cardiovascular Medicine 141
- Developmental Biology 12
Countries citing papers authored by Tomoko Uchida
This map shows the geographic impact of Tomoko Uchida'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 Tomoko Uchida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Uchida more than expected).
Fields of papers citing papers by Tomoko Uchida
This network shows the impact of papers produced by Tomoko Uchida. 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 Tomoko Uchida. The network helps show where Tomoko Uchida may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoko Uchida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 160 | |
| 2 | 1987 | 48 | |
| 3 | 1987 | 45 | |
| 4 | 2004 | 40 | |
| 5 | 1991 | 37 | |
| 6 | 1980 | 33 | |
| 7 | 1983 | 31 | |
| 8 | 1977 | 30 | |
| 9 | 2004 | 23 | |
| 10 | 1978 | 20 | |
| 11 | 1987 | 17 | |
| 12 | 1981 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 1980 | 15 | |
| 15 | 1981 | 14 | |
| 16 | 1984 | 13 | |
| 17 | 1980 | 13 | |
| 18 | 1985 | 12 | |
| 19 | 1982 | 12 | |
| 20 | 1983 | 11 |
About Tomoko Uchida
Tomoko Uchida is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Ecology, Genetics and Plant Science, having authored 48 papers that have together received 695 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (19 papers), Physiological and biochemical adaptations (6 papers), Wildlife Ecology and Conservation (5 papers), Chromosomal and Genetic Variations (4 papers), Vector-borne infectious diseases (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (292 citations), Parasitology (68 citations), Paleontology (70 citations), Cardiology and Cardiovascular Medicine (141 citations) and Developmental Biology (12 citations). Tomoko Uchida has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Shinya Shiraishi, Koichi Andō, Takumi Fukumoto, Kentaro Fujishiro, Takashi Wada, Yoshiko Yano, M. Brock Fenton, M. I. Avery, Paul A. Racey and Katsunori Iwasaki. Their work appears in journals such as Reproduction, Cellular and Molecular Life Sciences, Brain and Development, The Journal of Antibiotics and Journal of Mammalogy.
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.