Jun Unno

690 citations
13 papers · 429 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Rheumatology top 10%
    • IgG4-Related and Inflammatory Diseases

Papers in

    • Pancreatitis Pathology and Treatment 3
    • Gastrointestinal disorders and treatments 2
    • Cholangiocarcinoma and Gallbladder Cancer Studies 2
    • IgG4-Related and Inflammatory Diseases 3

Jun Unno

13 papers receiving 417 citations

Peers

Jun Unno
Comparison fields: 5 of 39
  • Cancer Research 144
  • Rheumatology 90
  • Oncology 128
  • Epidemiology 83
  • Surgery 100
Replace Masataka Takenaka with:
Masataka Takenaka Japan
Tibor Ponnelle France
Deyu Zhang China
Hosub Park South Korea
Weihua Yin China
Maryam Hazly Hilmy Singapore
Jo‐Heon Kim South Korea
Anna Ventriglia Italy
Dongfeng Cheng China
Sabrina Thieltges Germany
Jun Unno relative to Masataka Takenaka Japan Masataka Takenaka's profile →
Citations per field
00.5×3.2×
Masataka Takenaka · 1×
Citations per year

Countries citing papers authored by Jun Unno

Since Specialization
Citations

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

Fields of papers citing papers by Jun Unno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011129
2 2012100
3 201284
4 201448
5 199418
6 201117
7 201310
8 20119
9
The evaluation of MSX2 mRNA expression level in biliary brush cytological specimens.
20114
10 20124
11 20173
12 20122
13 20131

About Jun Unno

Jun Unno is a scholar working on Surgery, Rheumatology, Molecular Biology, Oncology and Epidemiology, having authored 13 papers that have together received 429 indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (3 papers), Pancreatitis Pathology and Treatment (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), MicroRNA in disease regulation (2 papers), Gastrointestinal disorders and treatments (2 papers), Neuroendocrine Tumor Research Advances (2 papers), RNA modifications and cancer (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Cancer Research (144 citations), Rheumatology (90 citations), Oncology (128 citations), Epidemiology (83 citations) and Surgery (100 citations). Jun Unno has collaborated with scholars based in Japan. Frequent co-authors include Tooru Shimosegawa, Atsushi Masamune, Shin Hamada, Kiyoshi Kume, Morihisa Hirota, Kazuhiro Kikuta, Atsushi Kanno, Kennichi Satoh, Wataru Fujibuchi and Kazuyuki Ishida. Their work appears in journals such as Pancreas, Scandinavian Journal of Gastroenterology, Journal of Cellular Physiology, Molecular Cancer Research and Cancer Chemotherapy and Pharmacology.

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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