Tadao Unuma

2.2k total citations
44 papers, 1.7k citations indexed

About

Tadao Unuma is a scholar working on Hepatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Tadao Unuma has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hepatology, 15 papers in Molecular Biology and 11 papers in Epidemiology. Recurrent topics in Tadao Unuma's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), RNA modifications and cancer (9 papers) and Liver Disease Diagnosis and Treatment (8 papers). Tadao Unuma is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), RNA modifications and cancer (9 papers) and Liver Disease Diagnosis and Treatment (8 papers). Tadao Unuma collaborates with scholars based in Japan and United States. Tadao Unuma's co-authors include Shuichiro Shiina, Kazumi Tagawa, Akira Terano, Kenta Yoshiura, Yasushi Shiratori, H. Busch, Yuki Niwa, Yutaka Komatsu, Riichiro Takanashi and Eiji Hamada and has published in prestigious journals such as Gastroenterology, Hepatology and Cancer.

In The Last Decade

Tadao Unuma

44 papers receiving 1.6k citations

Peers

Tadao Unuma
Comparison fields: 5 of 84
  • Hepatology 1.2k
  • Epidemiology 713
  • Surgery 290
  • Molecular Biology 256
  • Pulmonary and Respiratory Medicine 198
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Citations per field, relative to Tadao Unuma
Tadao Unuma · 1×
Citations per year, relative to Tadao Unuma
Tadao Unuma · 1×

Countries citing papers authored by Tadao Unuma

Since Specialization
Citations

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

Fields of papers citing papers by Tadao Unuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadao Unuma

This figure shows the co-authorship network connecting the top 25 collaborators of Tadao Unuma. A scholar is included among the top collaborators of Tadao Unuma 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 Tadao Unuma. Tadao Unuma 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
1 212
2 6
3 27
4 23
5 307
6 248
7
Relationship of HBsAg subtypes with HBeAg/anti-HBe status and chronic liver disease. Part II: Evaluation of epidemiological factors and suspected risk factors of liver dysfunction.
22
8 6
9 110
10 108
11 10
12 2
13 9
14 1
15 2
16 17
17
[A patient with slow type of ICG clearance and cholelithiasis. The role of cytoplasmic organic anion binding proteins (author's transl)].
1
18 5
19
32P Nucleotide Composition of Nuclear and Nucleolar RNA of Morris Hepatomas
14
20
Formation of microspherules in nucleoli of tumor cells treated with high doses of actinomycin D.
36

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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