Kiichiro Taga
- Surgery top 10%
- Physiology top 10%
- Anesthesiology and Pain Medicine top 2%
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Koki ShimojiTomohiro YamakuraSatoru FukudaSumihisa AidaHiroshi BabaHideyoshi FujiharaRen‐Zhi ZhanHiroshi Endoh
- Topics
- Anesthesia and Pain Management (12 papers)Neuroscience and Neuropharmacology Research (11 papers)Anesthesia and Neurotoxicity Research (9 papers)
- Cited by
- Anesthesiology and Pain MedicineDevelopmental NeuroscienceCellular and Molecular Neuroscience
- Journals
- StrokeBrain ResearchPain
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Kiichiro Taga
41 papers receiving 984 citations
Peers
Comparison fields: 5 of 84
- Surgery 413
- Physiology 239
- Anesthesiology and Pain Medicine 235
- Cellular and Molecular Neuroscience 196
- Pathology and Forensic Medicine 171
Countries citing papers authored by Kiichiro Taga
This map shows the geographic impact of Kiichiro Taga'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 Kiichiro Taga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiichiro Taga more than expected).
Fields of papers citing papers by Kiichiro Taga
This network shows the impact of papers produced by Kiichiro Taga. 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 Kiichiro Taga. The network helps show where Kiichiro Taga may publish in the future.
Co-authorship network of co-authors of Kiichiro Taga
This figure shows the co-authorship network connecting the top 25 collaborators of Kiichiro Taga. A scholar is included among the top collaborators of Kiichiro Taga 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 Kiichiro Taga. Kiichiro Taga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 52 | |
| 5 | 43 | |
| 6 | 19 | |
| 7 | 64 | |
| 8 | 47 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 15 | |
| 12 | 103 | |
| 13 | 14 | |
| 14 | 84 | |
| 15 | 1 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | [The effect of DREZ (dorsal root entry zone) lesions on intractable pain in patients with spinal cord injury]. | 1 |
| 20 | 2 |
About Kiichiro Taga
Kiichiro Taga is a scholar working on Developmental Neuroscience, Anesthesiology and Pain Medicine and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Anesthesia and Neurotoxicity Research (9 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (235 citations), Developmental Neuroscience (153 citations) and Cellular and Molecular Neuroscience (196 citations). Kiichiro Taga has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Koki Shimoji, Tomohiro Yamakura, Satoru Fukuda, Sumihisa Aida, Hiroshi Baba, Hideyoshi Fujihara, Ren‐Zhi Zhan, Hiroshi Endoh, Koki Shimoji and Chaoran Wu. Their work appears in journals such as Stroke, Brain Research and Pain.
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.