Hiroshi Nihira

424 citations
30 papers · 293 · h-index 11

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • Immunodeficiency and Autoimmune Disorders
    • interferon and immune responses
    • Immune Cell Function and Interaction

Papers in

    • Immunodeficiency and Autoimmune Disorders 5
    • Hepatitis Viruses Studies and Epidemiology 2

Hiroshi Nihira

25 papers receiving 289 citations

Peers

Hiroshi Nihira
Comparison fields: 5 of 48
  • Physiology 31
  • Immunology 112
  • Hematology 24
  • Psychiatry and Mental health 28
  • Infectious Diseases 36
Replace Hiroaki Kaku with:
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Wendy Yang United States
Catharina Schütz Germany
Lai Xu United States
Francesca Hofer Italy
Benedict Tan Singapore
Caroline Makowski France
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Citations per field
00.5×2×3×4×4.7×
Hiroaki Kaku · 1×
Citations per year

Countries citing papers authored by Hiroshi Nihira

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Nihira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201845
2 202137
3 202232
4 202220
5 202119
6 200216
7 202216
8 201715
9 199614
10 202112
11 202211
12 202210
13 20248
14 20217
15 20206
16 20215
17 19825
18 20204
19 20173
20 20232

About Hiroshi Nihira

Hiroshi Nihira is a scholar working on Immunology, Hepatology, Genetics, Oncology and Physiology, having authored 30 papers that have together received 293 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (5 papers), Inflammasome and immune disorders (5 papers), Viral gastroenteritis research and epidemiology (2 papers), NF-κB Signaling Pathways (2 papers), Glioma Diagnosis and Treatment (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Viral Infections and Immunology Research (2 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Physiology (31 citations), Immunology (112 citations), Hematology (24 citations), Psychiatry and Mental health (28 citations) and Infectious Diseases (36 citations). Hiroshi Nihira has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Kazushi Izawa, Shuji Wakai, Takahiro Yasumi, Ryuta Nishikomori, Sachiko Iwaki-Egawa, Yoshitaka Honda, Haruo Shizuka, Eitaro Hiejima, Junko Takita and Masami Ikehata. Their work appears in journals such as Journal of Clinical Immunology, Journal of Allergy and Clinical Immunology, Frontiers in Immunology, Pediatric Blood & Cancer and Scandinavian Journal of Rheumatology.

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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