Taishi Hashiguchi
- Epidemiology top 10%
- Molecular Biology
- Cell Biology top 10%
- Hepatology top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Hiroyuki YoneyamaShuji MizumotoKazuyuki SugaharaShuhei YamadaDominic PoulinGraeme MoyleGrushenka H.I. WolfgangHong Feng
- Topics
- Liver Disease Diagnosis and Treatment (9 papers)Proteoglycans and glycosaminoglycans research (7 papers)Glycosylation and Glycoproteins Research (5 papers)
- Cited by
- HepatologyCell BiologyEpidemiology
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Taishi Hashiguchi
19 papers receiving 618 citations
Peers
Comparison fields: 5 of 79
- Epidemiology 286
- Molecular Biology 224
- Cell Biology 211
- Hepatology 154
- Endocrinology, Diabetes and Metabolism 89
Countries citing papers authored by Taishi Hashiguchi
This map shows the geographic impact of Taishi Hashiguchi'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 Taishi Hashiguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taishi Hashiguchi more than expected).
Fields of papers citing papers by Taishi Hashiguchi
This network shows the impact of papers produced by Taishi Hashiguchi. 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 Taishi Hashiguchi. The network helps show where Taishi Hashiguchi may publish in the future.
Co-authorship network of co-authors of Taishi Hashiguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Taishi Hashiguchi. A scholar is included among the top collaborators of Taishi Hashiguchi 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 Taishi Hashiguchi. Taishi Hashiguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 39 | |
| 5 | 15 | |
| 6 | 24 | |
| 7 | 24 | |
| 8 | 17 | |
| 9 | 256 | |
| 10 | 39 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | Characterization of non-alcoholic steatohepatitis-derived hepatocellular carcinoma as a human stratification model in mice. | 29 |
| 16 | 1 | |
| 17 | 20 | |
| 18 | 21 | |
| 19 | 14 | |
| 20 | 88 |
About Taishi Hashiguchi
Taishi Hashiguchi is a scholar working on Hepatology, Cell Biology and Cancer Research, having authored 20 papers that have together received 633 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Proteoglycans and glycosaminoglycans research (7 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Hepatology (154 citations), Cell Biology (211 citations) and Epidemiology (286 citations). Taishi Hashiguchi has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Hiroyuki Yoneyama, Shuji Mizumoto, Kazuyuki Sugahara, Shuhei Yamada, Dominic Poulin, Graeme Moyle, Grushenka H.I. Wolfgang, Hong Feng, Scott L. Friedman and Toni L. Richards. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and PLoS ONE.
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.