Jun‐ichi Abe

13.8k citations
246 papers · 11.3k · 2 hit papers · h-index 60

Impact in

Papers in

Jun‐ichi Abe

235 papers receiving 11.0k citations

Jun‐ichi Abe's Hit Papers

A visual–omics foundation model to bridge histopathology with spatial transcriptomics 2025 · 25 citations
250+10+20Years since publication250500750

Peers

Jun‐ichi Abe
Comparison fields: 5 of 152
  • Biotechnology 901
  • Nutrition and Dietetics 1.4k
  • Cardiology and Cardiovascular Medicine 1.7k
  • Molecular Biology 5.5k
  • Immunology 1.5k
Replace Tatsuya Sawamura with:
Tatsuya Sawamura Japan
Anne Nègre‐Salvayre France
Roberta A. Gottlieb United States
Wataru Ogawa Japan
Judith Haendeler Germany
Shoji Kimura Japan
Wolfgang Sattler Austria
Susumu Adachi Japan
Kaikobad Irani United States
Judith A. Berliner United States
Jun‐ichi Abe relative to Tatsuya Sawamura Japan Tatsuya Sawamura's profile →
Citations per field
00.5×3.9×
Tatsuya Sawamura · 1×
Citations per year

Countries citing papers authored by Jun‐ichi Abe

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichi Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A periodic distribution of the chain length of amylopectin as revealed by high-performance anion-exchange chromatography
Hit paper breakdown →
1996769
2 2009321
3 1997255
4 2017247
5 1998243
6 2000241
7 2018229
8 2010218
9 1994218
10 2010211
11 2019203
12 2001194
13 1999184
14 2005165
15 2008165
16 2002159
17 2010146
18 2009140
19 2001139
20 2000133

About Jun‐ichi Abe

Jun‐ichi Abe is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biotechnology, Nutrition and Dietetics and Immunology, having authored 246 papers that have together received 11.3k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (35 papers), Microbial Metabolites in Food Biotechnology (22 papers), Protein Kinase Regulation and GTPase Signaling (19 papers), Phytase and its Applications (16 papers), Chemotherapy-induced cardiotoxicity and mitigation (15 papers), Ubiquitin and proteasome pathways (12 papers), Angiogenesis and VEGF in Cancer (12 papers) and Melanoma and MAPK Pathways (11 papers). The work is most often cited by research in Biotechnology (901 citations), Nutrition and Dietetics (1.4k citations), Cardiology and Cardiovascular Medicine (1.7k citations), Molecular Biology (5.5k citations) and Immunology (1.5k citations). Jun‐ichi Abe has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Bradford C. Berk, Susumu Hizukuri, Yan Chen, Isao Hanashiro, Keigi Fujiwara, Kyung‐Sun Heo, Patrizia Nigro, Jiing-Dwan Lee, Masanori Yoshizumi and Qunhua Huang. Their work appears in journals such as Circulation Research, Circulation, Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology and Carbohydrate Research.

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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