Shuhei Sekiguchi
- Epidemiology
- Hepatology top 10%
- Endocrinology, Diabetes and Metabolism
- Physiology
- Pathology and Forensic Medicine
- Co-authors
- Mayu HiguchiMasayuki KurosakiKoji YamashitaLeona OsawaShun KanekoYuka TakahashiNamiki IzumiJun Itakura
- Topics
- Liver Disease Diagnosis and Treatment (11 papers)Hepatitis C virus research (10 papers)Hepatitis B Virus Studies (7 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Shuhei Sekiguchi
16 papers receiving 132 citations
Peers
Comparison fields: 5 of 36
- Epidemiology 111
- Hepatology 88
- Endocrinology, Diabetes and Metabolism 23
- Physiology 16
- Pathology and Forensic Medicine 13
Countries citing papers authored by Shuhei Sekiguchi
This map shows the geographic impact of Shuhei Sekiguchi'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 Shuhei Sekiguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhei Sekiguchi more than expected).
Fields of papers citing papers by Shuhei Sekiguchi
This network shows the impact of papers produced by Shuhei Sekiguchi. 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 Shuhei Sekiguchi. The network helps show where Shuhei Sekiguchi may publish in the future.
Co-authorship network of co-authors of Shuhei Sekiguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Shuhei Sekiguchi. A scholar is included among the top collaborators of Shuhei Sekiguchi 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 Shuhei Sekiguchi. Shuhei Sekiguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 45 | |
| 6 | 13 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 10 | |
| 12 | 7 | |
| 13 | [Pathogenesis-screening tests for liver dysfunction in the asymptomatic patients with elevated ALT values and their diagnostic efficacies in primary care medicine]. | 3 |
| 14 | [Laboratory tests in primary care medicine: pre-clinical, ambulatory screening test system on the basis of the patient's chief complaints in the initial diagnosis making]. | 1 |
| 15 | [Usefulness of "essential laboratory tests" for the establishment of the initial diagnosis in new outpatients]. | 1 |
| 16 | [Proffered opinion forum medical decision making, impact on laboratory tests]. | 1 |
About Shuhei Sekiguchi
Shuhei Sekiguchi is a scholar working on Hepatology, Family Practice and Epidemiology, having authored 16 papers that have together received 133 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Hepatitis C virus research (10 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Hepatology (88 citations), Epidemiology (111 citations) and Endocrinology, Diabetes and Metabolism (23 citations). Shuhei Sekiguchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Mayu Higuchi, Masayuki Kurosaki, Koji Yamashita, Leona Osawa, Shun Kaneko, Yuka Takahashi, Namiki Izumi, Jun Itakura, Sakura Kirino and Yutaka Yasui. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Medical Virology.
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.