Daisuke Naruge

438 citations
16 papers · 235 · h-index 8

Impact in

  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Treatment and Pharmacology 2
    • Amino Acid Enzymes and Metabolism 2

Daisuke Naruge

15 papers receiving 234 citations

Peers

Daisuke Naruge
Comparison fields: 5 of 44
  • Biochemistry 79
  • Hepatology 23
  • Cancer Research 40
  • Oncology 68
  • Molecular Biology 107
Replace Angela Rosaria Solano with:
Angela Rosaria Solano Argentina
Yasuhide Kofunato Japan
Dolgormaa Gantumur Japan
Ying‐Ying Lee United States
Letizia Satriano Denmark
Artur Rebelo Germany
Brandon J. Peiffer United States
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Gang Xiao China
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Citations per field
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Angela Rosaria Solano · 1×
Citations per year

Countries citing papers authored by Daisuke Naruge

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Naruge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2020108
2 201827
3 202018
4 202016
5 201414
6 201812
7 201511
8 20189
9 20175
10 20174
11 20214
12 20204
13 20161
14 20161
15 20151
16 20160

About Daisuke Naruge

Daisuke Naruge is a scholar working on Oncology, Biochemistry, Surgery, Pulmonary and Respiratory Medicine and Pharmacy, having authored 16 papers that have together received 235 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Genomics and Diagnostics (1 paper), Medical Imaging Techniques and Applications (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Gallbladder and Bile Duct Disorders (1 paper). The work is most often cited by research in Biochemistry (79 citations), Hepatology (23 citations), Cancer Research (40 citations), Oncology (68 citations) and Molecular Biology (107 citations). Daisuke Naruge has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Junji Furuse, N. Okano, Fumio Nagashima, Kirio Kawai, Takaaki Kobayashi, Hitoshi Endou, Akiyoshi Kasuga, Toshio Shimizu, Takayasu Kurata and K. Nakagawa. Their work appears in journals such as Anticancer Research, Investigational New Drugs, Annals of Oncology, Cancer Chemotherapy and Pharmacology and Pancreatology.

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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