Satoshi Abe

4.6k citations
204 papers · 3.6k · h-index 32

Impact in

    • Bone Tumor Diagnosis and Treatments
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 9
    • Bone Tumor Diagnosis and Treatments 10

Satoshi Abe

190 papers receiving 3.5k citations

Peers

Satoshi Abe
Comparison fields: 5 of 120
  • Rheumatology 326
  • Hepatology 178
  • Pulmonary and Respiratory Medicine 621
  • Pharmacology 165
  • Genetics 432
Replace Yong L. Zhao with:
Yong L. Zhao China
Minoru Takagi Japan
Rosario Caltabiano Italy
Hiroshi Ishikura Japan
Paul B. Yu United States
Changjun Yin China
Anne Vral Belgium
Keiji Tanimoto Japan
Ruslan Hlushchuk Switzerland
Masaaki Goto Japan
Satoshi Abe relative to Yong L. Zhao China Yong L. Zhao's profile →
Citations per field
00.5×2×4×6×7.2×
Yong L. Zhao · 1×
Citations per year

Countries citing papers authored by Satoshi Abe

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016143
2 2002139
3 2014133
4 1999114
5 201097
6 200895
7 202094
8 200769
9 201669
10 201266
11 201264
12 200263
13 201854
14 199250
15 201649
16 201748
17 200447
18 201346
19 201346
20 200645

About Satoshi Abe

Satoshi Abe is a scholar working on Hepatology, Rheumatology, Pharmacology, Oncology and Pulmonary and Respiratory Medicine, having authored 204 papers that have together received 3.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (16 papers), Animal Genetics and Reproduction (14 papers), Pharmacogenetics and Drug Metabolism (13 papers), Bone Tumor Diagnosis and Treatments (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Virus-based gene therapy research (8 papers), Colorectal Cancer Screening and Detection (8 papers) and Down syndrome and intellectual disability research (7 papers). The work is most often cited by research in Rheumatology (326 citations), Hepatology (178 citations), Pulmonary and Respiratory Medicine (621 citations), Pharmacology (165 citations) and Genetics (432 citations). Satoshi Abe has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Mitsuo Oshimura, Yasuhiro Kazuki, Takashi Matsushita, Toshiro Kumanishi, Kenji Satô, Katsuyuki Yamanaka, Yoshinobu Watanabe, Tetsuo Imamura, Shoko Takehara and Kanako Kazuki. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications, PLoS ONE, Neurologia medico-chirurgica and Gastrointestinal Endoscopy.

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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