Tomohiro Neichi
- Molecular Biology
- Physiology top 10%
- Pharmacology top 5%
- Biochemistry top 5%
- Organic Chemistry
- Co-authors
- Sei‐itsu MurotaYasuko KoshiharaTakashi TatsunoJun‐ichi MiyazakiFumitake GejyoToshiro NagasawaKen AtakaHiroki Maruyama
- Topics
- Inflammatory mediators and NSAID effects (5 papers)Eicosanoids and Hypertension Pharmacology (4 papers)CRISPR and Genetic Engineering (3 papers)
- Cited by
- BiochemistryPharmacology
- Partner nations
- JapanUnited States
In The Last Decade
Tomohiro Neichi
19 papers receiving 874 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 290
- Physiology 213
- Pharmacology 182
- Biochemistry 111
- Organic Chemistry 101
Countries citing papers authored by Tomohiro Neichi
This map shows the geographic impact of Tomohiro Neichi'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 Tomohiro Neichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Neichi more than expected).
Fields of papers citing papers by Tomohiro Neichi
This network shows the impact of papers produced by Tomohiro Neichi. 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 Tomohiro Neichi. The network helps show where Tomohiro Neichi may publish in the future.
Co-authorship network of co-authors of Tomohiro Neichi
This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Neichi. A scholar is included among the top collaborators of Tomohiro Neichi 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 Tomohiro Neichi. Tomohiro Neichi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 42 | |
| 3 | 12 | |
| 4 | 85 | |
| 5 | 65 | |
| 6 | 26 | |
| 7 | In vitro regulatory mechanisms for cytoplasmic maturation of murine megakaryocytes derived from colony-forming units megakaryocyte (CFU-M). | 6 |
| 8 | 291 | |
| 9 | Effects of AVS (1,2-bis(nicotinamido)propane) on platelet function and vascular endothelium. | 3 |
| 10 | LIPIDPEROXIDATION AND CEREBRAL VASOSPASM : A BENEFICIAL PHARMACOLOGICAL APPROACH BY AVS (A RADICAL SCAVENGER) | 3 |
| 11 | 171 | |
| 12 | 1 | |
| 13 | 68 | |
| 14 | Comparison of prostaglandin biosynthetic activity between porcine aortic endothelial and smooth muscle cells in culture. | 24 |
| 15 | 41 | |
| 16 | 25 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 48 |
About Tomohiro Neichi
Tomohiro Neichi is a scholar working on Biochemistry, Pharmacology and Hematology, having authored 19 papers that have together received 923 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Biochemistry (111 citations), Biochemistry (90 citations) and Pharmacology (182 citations). Tomohiro Neichi has collaborated with scholars based in Japan and United States. Frequent co-authors include Sei‐itsu Murota, Yasuko Koshihara, Takashi Tatsuno, Jun‐ichi Miyazaki, Fumitake Gejyo, Toshiro Nagasawa, Ken Ataka, Hiroki Maruyama, Noboru Kubodera and Yasumi Uchida. Their work appears in journals such as Blood, FEBS Letters and Kidney International.
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.