Keisuke Ae

2.2k citations
86 papers · 1.6k · h-index 21

Impact in

Papers in

Keisuke Ae

80 papers receiving 1.6k citations

Peers

Keisuke Ae
Comparison fields: 5 of 71
  • Rheumatology 324
  • Pulmonary and Respiratory Medicine 656
  • Cancer Research 74
  • Oncology 119
  • Molecular Biology 298
Replace Toshiyuki Kunisada with:
Toshiyuki Kunisada Japan
Akio Sakamoto Japan
Kenichiro Hamada Japan
Evgeny A. Moskalev Germany
Obiajulu Hans Iwenofu United States
Petr Martínek Czechia
Josephine Kam Tai K. Dermawan United States
Noriyoshi Kawaguchi Japan
Satoshi Nagoya Japan
Nobuyuki Hashimoto Japan
Keisuke Ae relative to Toshiyuki Kunisada Japan Toshiyuki Kunisada's profile →
Citations per field
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Citations per year

Countries citing papers authored by Keisuke Ae

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Ae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018223
2 2008213
3 201083
4 201669
5 201959
6 200852
7 200245
8 201941
9 202139
10 201234
11 201631
12 201129
13 200427
14 201727
15 201326
16 201926
17 202125
18 202325
19 201724
20 201723

About Keisuke Ae

Keisuke Ae is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Oncology, Surgery and Pathology and Forensic Medicine, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (50 papers), Bone Tumor Diagnosis and Treatments (15 papers), Soft tissue tumor case studies (10 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Vascular Tumors and Angiosarcomas (2 papers), Bone Tissue Engineering Materials (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Rheumatology (324 citations), Pulmonary and Respiratory Medicine (656 citations), Cancer Research (74 citations), Oncology (119 citations) and Molecular Biology (298 citations). Keisuke Ae has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Seiichi Matsumoto, Taisuke Tanizawa, Atsushi Okawa, Takashi Shimoji, Tabu Gokita, Shingo Sato, Yuki Funauchi, Shu Takeda, Keiko Hayakawa and Kenichi Shinomiya. Their work appears in journals such as Clinical Orthopaedics and Related Research, Japanese Journal of Clinical Oncology, Cancers, Anticancer Research and Oncogene.

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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