Hiroshi Hagiya

671 total citations
15 papers, 574 citations indexed

About

Hiroshi Hagiya is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Hiroshi Hagiya has authored 15 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Immunology. Recurrent topics in Hiroshi Hagiya's work include Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (3 papers) and Immune Cell Function and Interaction (3 papers). Hiroshi Hagiya is often cited by papers focused on Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (3 papers) and Immune Cell Function and Interaction (3 papers). Hiroshi Hagiya collaborates with scholars based in Japan, United States and Netherlands. Hiroshi Hagiya's co-authors include Kazuhiko Kato, Takashi Izumi, Takehiko Yokomizo, Takao Shimizu, Yusuke Morita, H. Kurata, Shigenori Maruyama, Allen P. Nutman, Toshiya Arakawa and Takahiko Hada and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Hiroshi Hagiya

14 papers receiving 562 citations

Peers

Hiroshi Hagiya
Comparison fields: 5 of 89
  • Molecular Biology 272
  • Immunology 133
  • Physiology 120
  • Pharmacology 97
  • Biochemistry 89
Replace S J Feinmark with:
S J Feinmark United States
Jay M. Wendling United States
M. S. de Carvalho United States
Margaret B. Lucitt United States
Claudia Fanelli Italy
Ryuta Koishi Japan
Paul Schwenger United States
Frank Neuschäfer‐Rube Germany
Ashlee N. Higdon United States
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Citations per field, relative to Hiroshi Hagiya
Hiroshi Hagiya · 1×
Citations per year, relative to Hiroshi Hagiya
Hiroshi Hagiya · 1×

Countries citing papers authored by Hiroshi Hagiya

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Hagiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Hagiya

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Hagiya. A scholar is included among the top collaborators of Hiroshi Hagiya 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 Hiroshi Hagiya. Hiroshi Hagiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 14
2 8
3 7
4 41
5 48
6 14
7 7
8 7
9 10
10 159
11 167
12 13
13 38
14 40
15 1

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.

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2026