Yusuke Higuchi

2.4k citations
74 papers · 1.8k · h-index 25

Impact in

  • Nephrology top 2%
    • Dialysis and Renal Disease Management
    • Microbial Natural Products and Biosynthesis

Papers in

Yusuke Higuchi

69 papers receiving 1.7k citations

Peers

Yusuke Higuchi
Comparison fields: 5 of 117
  • Nephrology 277
  • Pharmacology 301
  • Molecular Biology 904
  • Immunology 238
  • Agronomy and Crop Science 86
Replace Jeng‐Jer Shieh with:
Jeng‐Jer Shieh Taiwan
Todd Bourcier United States
María G. Barderas Spain
Shijun He China
E. Marinello Italy
Amanda O’Neill Ireland
Lucinda Furci Italy
Gang Zeng United States
Jia Hu China
Shih‐Chi Su Taiwan
Yusuke Higuchi relative to Jeng‐Jer Shieh Taiwan Jeng‐Jer Shieh's profile →
Citations per field
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Jeng‐Jer Shieh · 1×
Citations per year

Countries citing papers authored by Yusuke Higuchi

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Higuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010151
2 2017129
3 201390
4 201189
5 201683
6 202176
7 201768
8 201062
9 201360
10 201958
11 201153
12 201551
13 202049
14 201747
15 201846
16 200841
17 201137
18 201936
19 202034
20 202234

About Yusuke Higuchi

Yusuke Higuchi is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Immunology, Oncology and Pharmacology, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include 14-3-3 protein interactions (15 papers), Microbial Natural Products and Biosynthesis (11 papers), Lymphoma Diagnosis and Treatment (11 papers), T-cell and Retrovirus Studies (9 papers), Ubiquitin and proteasome pathways (9 papers), Vector-Borne Animal Diseases (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Caveolin-1 and cellular processes (5 papers). The work is most often cited by research in Nephrology (277 citations), Pharmacology (301 citations), Molecular Biology (904 citations), Immunology (238 citations) and Agronomy and Crop Science (86 citations). Yusuke Higuchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Fuyuhiko Nishijima, Nobuo Kato, Shunsuke Ito, Christian Ottmann, Mizuko Osaka, Masayuki Yoshida, Hideto Ishii, Toshimitsu Niwa, Hidehisa Shimizu and Ayinuer Adijiang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, European Heart Journal, Blood, British Journal of Haematology and Cancers.

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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