Sumio Kawata

1.2k total citations
34 papers, 815 citations indexed

About

Sumio Kawata is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Sumio Kawata has authored 34 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Surgery and 7 papers in Oncology. Recurrent topics in Sumio Kawata's work include Liver Disease Diagnosis and Treatment (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Liver physiology and pathology (3 papers). Sumio Kawata is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Liver physiology and pathology (3 papers). Sumio Kawata collaborates with scholars based in Japan, United States and Tunisia. Sumio Kawata's co-authors include Hiroaki Takeda, Mitsunori Yamakawa, Masafumi Ito, Shuho Semba, Shinji Tamura, Naohiko Makino, Naoyuki Taniguchi, Shigeki Higashiyama, Yuji Matsuzawa and Shinichi Kiso and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Sumio Kawata

31 papers receiving 803 citations

Peers

Sumio Kawata
Comparison fields: 5 of 88
  • Molecular Biology 415
  • Oncology 212
  • Surgery 172
  • Cancer Research 131
  • Pulmonary and Respiratory Medicine 112
Replace Monica Curto with:
Monica Curto Italy
Megan Garrity-Park United States
Daichi Ishikawa Japan
Katsuhiro Ogawa Japan
Noboru Ueki Japan
Jinghai Song China
Qi Shen China
Chantal Degraef Belgium
Dong Wu China
Takamasa Kanbe Japan
Monica Curto Italy View profile →
Citations per field, relative to Sumio Kawata
Sumio Kawata · 1×
Citations per year, relative to Sumio Kawata
Sumio Kawata · 1×

Countries citing papers authored by Sumio Kawata

Since Specialization
Citations

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

Fields of papers citing papers by Sumio Kawata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumio Kawata

This figure shows the co-authorship network connecting the top 25 collaborators of Sumio Kawata. A scholar is included among the top collaborators of Sumio Kawata 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 Sumio Kawata. Sumio Kawata 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
# Work Indexed citations
1
Novel Electron Spin Resonance-Enzyme Immunosorbent Assay for Detecting Occult Hepatitis B Infection in HCV Chronic Liver Disease
0
2 1
3 64
4 54
5 47
6 6
7 4
8 211
9 23
10 12
11 17
12 25
13 1
14 23
15 1
16 1
17 2
18 0
19 2
20 2

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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