Hiroki Irie

422 citations
21 papers · 317 · h-index 11

Impact in

Papers in

    • Amyloidosis: Diagnosis, Treatment, Outcomes 3
    • Genetics, Bioinformatics, and Biomedical Research 1
    • HER2/EGFR in Cancer Research 2

Hiroki Irie

21 papers receiving 310 citations

Peers

Hiroki Irie
Comparison fields: 5 of 58
  • Nephrology 32
  • Transplantation 8
  • Oncology 54
  • Molecular Biology 147
  • Radiology, Nuclear Medicine and Imaging 34
Replace Youxin Song with:
Youxin Song China
Brian K. Stevens United States
Jichao Wu China
Weihui Lu China
Yu-Hsia Kuo Taiwan
Guodong Chen China
Ruyi Liao China
Elina Mukherjee United States
Sanam Soomro United States
Yasumi Kitahara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Hiroki Irie

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Irie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hiroki Irie, 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 Hiroki Irie Line = papers co-authored together Hiroki Irie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011112
2 202027
3 200926
4 200417
5 201517
6 200315
7 201414
8 200814
9 200113
10 201912
11 202310
12 20109
13 20186
14 20055
15 20145
16 20024
17 20113
18 20143
19 20142
20
[Breast sarcoidosis: 2 case reports and a review of 19 literature].
19942

About Hiroki Irie

Hiroki Irie is a scholar working on Molecular Biology, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 21 papers that have together received 317 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), HER2/EGFR in Cancer Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Plant Physiology and Cultivation Studies (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Nephrology (32 citations), Transplantation (8 citations), Oncology (54 citations), Molecular Biology (147 citations) and Radiology, Nuclear Medicine and Imaging (34 citations). Hiroki Irie has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroshi Mizuta, Junji Ide, Mitsuharu Ueda, Akira Sei, Takanao Sueyoshi, Hirofumi Jono, Katsumasa Takagi, Teiji Kato, Shinji Mizuarai and Makio Yamaga. Their work appears in journals such as Journal of Surgical Research, Current Molecular Medicine, Journal of Intensive Care, Amyloid and The Knee.

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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