Hiroshi Unno

3.5k citations
8 papers · 2.6k indexed · 1 hit paper · h-index 7
  • Rheumatology top 0.2%
    • IgG4-Related and Inflammatory Diseases 4
  • Surgery top 2%
    • Pancreatitis Pathology and Treatment 5
    • Gastrointestinal disorders and treatments 4
    • Intestinal and Peritoneal Adhesions 1
    • Neurological disorders and treatments 1
    • Parkinson's Disease Mechanisms and Treatments 1
    • Neurological diseases and metabolism 1
    • Cancer, Lipids, and Metabolism 1

Hiroshi Unno

8 papers receiving 2.5k citations

Hit Papers

High Serum IgG4 Concentrations in Patients with Sclerosin...1.9k200120262009201750010001.5k

Peers

Hiroshi Unno
Comparison fields: 5 of 50
  • Rheumatology 2.4k
  • Epidemiology 1.5k
  • Surgery 1.8k
  • Gastroenterology 34
  • Hepatology 46
Replace Naoyuki Furuya with:
Naoyuki Furuya Japan
Mollie N. Carruthers Canada
Mitsuhiro Kawano Japan
Takayoshi Nishino Japan
Yunyun Fei China
Kensuke Takuma Japan
Hiroshi Demachi Japan
M. Taraborelli Italy
Kumi Ozaki Japan
Caroline Roozendaal Netherlands
Hiroshi Unno relative to Naoyuki Furuya Japan Naoyuki Furuya's profile →
Citations per field
00.5×1.5×
Naoyuki Furuya · 1×
Citations per year

Countries citing papers authored by Hiroshi Unno

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Unno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Hiroshi Unno, 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 Unno Line = papers co-authored together Hiroshi Unno links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200473
2 200228
3 200263
4 2002436
5 200234
6
High Serum IgG4 Concentrations in Patients with Sclerosing Pancreatitisbreakdown →
20011945
7 19976
8 19585

About Hiroshi Unno

Hiroshi Unno is a scholar working on Rheumatology, Clinical Biochemistry and Neurology, having authored 8 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (5 papers), IgG4-Related and Inflammatory Diseases (4 papers), Gastrointestinal disorders and treatments (4 papers), Neurological disorders and treatments (1 paper), Cancer, Lipids, and Metabolism (1 paper), Intestinal and Peritoneal Adhesions (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Neurological diseases and metabolism (1 paper). The work is most often cited by research in Rheumatology (2.4k citations), Epidemiology (1.5k citations) and Surgery (1.8k citations). Hiroshi Unno has collaborated with scholars based in Japan. Frequent co-authors include Shigeyuki Kawa, Kendo Kiyosawa, Mana Fukushima, Hideaki Hamano, Nobuteru Usuda, Toshio Nikaido, Kohzo Nakayama, Taiji Akamatsu, Akira Horiuchi and Naoyuki Furuya. Their work appears in journals such as New England Journal of Medicine, The Lancet and Movement Disorders.

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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