A Ando

1.3k citations
11 papers · 1.2k · h-index 10

Impact in

    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • Metabolism, Diabetes, and Cancer
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Tyrosine Phosphatases

Papers in

    • Metabolism, Diabetes, and Cancer 6
    • Protein Kinase Regulation and GTPase Signaling 4
    • Glycosylation and Glycoproteins Research 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Pancreatic function and diabetes 5

A Ando

11 papers receiving 1.1k citations

Peers

A Ando
Comparison fields: 5 of 75
  • Cell Biology 241
  • Molecular Biology 946
  • Immunology and Allergy 65
  • Endocrinology, Diabetes and Metabolism 112
  • Immunology 117
Replace K. Kotani with:
K. Kotani Japan
Sharon F. Hausdorff United States
Clare M. Heyworth United Kingdom
Giuliana Pelicci Italy
K. Matuoka Japan
Michael Loubtchenkov Finland
Borislav Stoyanov Germany
Salvatore F. Pietromonaco United States
M López-Barahona Spain
A. Kazlauskas United States
A Ando relative to K. Kotani Japan K. Kotani's profile →
Citations per field
00.5×
K. Kotani · 1×
Citations per year

Countries citing papers authored by A Ando

Since Specialization
Citations

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

Fields of papers citing papers by A Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1994403
2 1994334
3 1994112
4 1992106
5 199469
6 199255
7 199236
8 199724
9 199817
10 202212
11
[Rabson-Mendenhall syndrome].
19941

About A Ando

A Ando is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Mechanics of Materials, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Glycosylation and Glycoproteins Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Diabetes Management and Research (1 paper), Biomedical Research and Pathophysiology (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Cell Biology (241 citations), Molecular Biology (946 citations), Immunology and Allergy (65 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Immunology (117 citations). A Ando has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kenta Hara, Hiroo UEDA, Yukari Kitamura, K. Kotani, Hiroshi Sakaue, Kazuyoshi Yonezawa, Tadahiro Kitamura, Alain Chavanieu, Len Stephens and Trevor Jackson. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Journal of Clinical Investigation.

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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