Masahiko Sunaga

641 citations
25 papers · 491 indexed · h-index 13
Topics
Advanced Proteomics Techniques and Applications (4 papers)Alcohol Consumption and Health Effects (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)
Partner nations
Japan

In The Last Decade

Masahiko Sunaga

25 papers receiving 479 citations

Peers

Masahiko Sunaga
Comparison fields: 5 of 79
  • Molecular Biology 233
  • Oncology 123
  • Cancer Research 82
  • Epidemiology 79
  • Hepatology 76
Replace Teresa Peccerella with:
Teresa Peccerella Germany
Marielena McGuire United States
Masahiro Kito Japan
Chon Kar Leow Singapore
Munawar Iqbal United Kingdom
Jane Hamlett United Kingdom
Lucia M. Polito Italy
Bridgett Green United States
Monika Lewińska Denmark
Maryvonne Rissel France
Masahiko Sunaga relative to Teresa Peccerella Germany Teresa Peccerella's profile →
Citations per field
00.5×1.5×
Teresa Peccerella · 1×
Citations per year

Countries citing papers authored by Masahiko Sunaga

Since Specialization
Citations

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

Fields of papers citing papers by Masahiko Sunaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiko Sunaga

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Sunaga. A scholar is included among the top collaborators of Masahiko Sunaga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masahiko Sunaga. Masahiko Sunaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 33
2 20
3 59
4 3
5
Protein profiling in pancreatic juice for detection of intraductal papillary mucinous neoplasm of the pancreas.
12
6 65
7 7
8 14
9 4
10 9
11 53
12 55
13 69
14 3
15 6
16 2
17 2
18 16
19 6
20 9

About Masahiko Sunaga

Masahiko Sunaga is a scholar working on Hepatology, Pathology and Forensic Medicine and Insect Science, having authored 25 papers that have together received 491 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Alcohol Consumption and Health Effects (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Hepatology (76 citations), Cancer Research (82 citations) and Oncology (123 citations). Masahiko Sunaga has collaborated with scholars based in Japan. Frequent co-authors include Fumio Nomura, Takeshi Tomonaga, Ichiro HARA, Masaaki Ebara, Hiromitsu Saisho, Masaharu Yoshikawa, Masahiko Nezu, Munehiro Yoshida, Kazuyuki Sogawa and Takenori Ochiai. Their work appears in journals such as Hepatology, Alcoholism Clinical and Experimental Research and PROTEOMICS.

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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