Aisuke Nii

451 citations
27 papers · 377 · h-index 10

Impact in

Papers in

    • Fibroblast Growth Factor Research 2
    • Bone Metabolism and Diseases 2
    • Ion Transport and Channel Regulation 2
    • Mast cells and histamine 2

Aisuke Nii

24 papers receiving 365 citations

Peers

Aisuke Nii
Comparison fields: 5 of 73
  • Hepatology 54
  • Cell Biology 83
  • Immunology 94
  • Equine 5
  • Pharmacology 46
Replace Juei‐Suei Chen with:
Juei‐Suei Chen United States
Mohammed Tasab United Kingdom
R. Laird Australia
Shu-Fen Wu Taiwan
Ivan Kanchev Czechia
Beat Oertli Switzerland
Serkan İsmail Göktuna Belgium
Ines Volkmer Germany
Kazuhiko Takeda Japan
Aisuke Nii relative to Juei‐Suei Chen United States Juei‐Suei Chen's profile →
Citations per field
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Juei‐Suei Chen · 1×
Citations per year

Countries citing papers authored by Aisuke Nii

Since Specialization
Citations

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

Fields of papers citing papers by Aisuke Nii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199774
2 201054
3
The semidominant Mi(b) mutation identifies a role for the HLH domain in DNA binding in addition to its role in protein dimerization.
199641
4 199638
5 201424
6 200824
7
Mild osteopetrosis in the microphthalmia-oak ridge mouse. A model for intermediate autosomal recessive osteopetrosis in humans.
199522
8 201220
9 200717
10 199411
11 20209
12 19979
13 20007
14 20026
15 20085
16 20143
17 19862
18 19852
19 20032
20 20081

About Aisuke Nii

Aisuke Nii is a scholar working on Molecular Biology, Immunology, Pharmacology, Pathology and Forensic Medicine and Rheumatology, having authored 27 papers that have together received 377 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (2 papers), Virus-based gene therapy research (2 papers), Alcohol Consumption and Health Effects (2 papers), Mast cells and histamine (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Fibroblast Growth Factor Research (2 papers), Bone Metabolism and Diseases (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Hepatology (54 citations), Cell Biology (83 citations), Immunology (94 citations), Equine (5 citations) and Pharmacology (46 citations). Aisuke Nii has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Jerrold M. Ward, Eirı́kur Steingrı́msson, N.A. Jenkins, Neal G. Copeland, Howard A. Young, Shinji Ogawa, A.R. Ferré-D′Amaré, David E. Fisher, Robin Winkler-Pickett and James J. Kenny. Their work appears in journals such as Toxicologic Pathology, Hepatology Research, Experimental and Toxicologic Pathology, The EMBO Journal and Blood.

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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