M. Hagiya

540 citations
6 papers · 480 · h-index 5

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Proteoglycans and glycosaminoglycans research

Papers in

    • Liver physiology and pathology 6
    • Liver Disease and Transplantation 1
    • Pancreatic function and diabetes 3

M. Hagiya

6 papers receiving 469 citations

Peers

M. Hagiya
Comparison fields: 5 of 49
  • Hepatology 263
  • Cell Biology 112
  • Transplantation 9
  • Epidemiology 107
  • Surgery 133
Replace T Seki with:
T Seki Japan
H.C. Bisgaard United States
Sriram Bandi United States
H. Kurosawa Japan
M.E. Schwartz United States
Kim Olievier Belgium
José M. Ramos Pittol Netherlands
Singh Gagandeep United States
Hirokazu Kadoya Japan
Morgane Mabire France
M. Hagiya relative to T Seki Japan T Seki's profile →
Citations per field
00.5×
T Seki · 1×
Citations per year

Countries citing papers authored by M. Hagiya

Since Specialization
Citations

This map shows the geographic impact of M. Hagiya'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 M. Hagiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Hagiya more than expected).

Fields of papers citing papers by M. Hagiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Hagiya. 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 M. Hagiya. The network helps show where M. Hagiya may publish in the future.

Co-authors

The 24 scholars most cited alongside M. Hagiya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Hagiya Line = papers co-authored together M. Hagiya links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1994158
2 1994104
3 199495
4 200064
5 199755
6 19974

About M. Hagiya

M. Hagiya is a scholar working on Hepatology, Surgery, Epidemiology, Cell Biology and Molecular Biology, having authored 6 papers that have together received 480 indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), Pancreatic function and diabetes (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Proteoglycans and glycosaminoglycans research (1 paper), Enzyme Structure and Function (1 paper), Liver Disease and Transplantation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Hepatology (263 citations), Cell Biology (112 citations), Transplantation (9 citations), Epidemiology (107 citations) and Surgery (133 citations). M. Hagiya has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include A. Francavilla, Lorenzo Polimeno, Izumi Ihara, Thomas E. Starzl, Manabu Shimonishi, K. A. Porter, T Seki, Harumi Sakai, Kendrick A. Porter and Toshikazu Nakamura. Their work appears in journals such as Hepatology, Journal of Gastroenterology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Acta Crystallographica Section D Biological Crystallography.

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.

Explore authors with similar magnitude of impact