Tadashi Takeda

2.6k total citations · 1 hit paper
77 papers, 1.8k citations indexed

About

Tadashi Takeda is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Tadashi Takeda has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Hepatology, 44 papers in Epidemiology and 7 papers in Surgery. Recurrent topics in Tadashi Takeda's work include Liver Disease Diagnosis and Treatment (37 papers), Hepatitis C virus research (26 papers) and Hepatitis B Virus Studies (19 papers). Tadashi Takeda is often cited by papers focused on Liver Disease Diagnosis and Treatment (37 papers), Hepatitis C virus research (26 papers) and Hepatitis B Virus Studies (19 papers). Tadashi Takeda collaborates with scholars based in Japan, United States and Canada. Tadashi Takeda's co-authors include Susumu Shiomi, Shuzo Otani, Shinya Nakajima, S Seki, S. Nishiguchi, Shinji Nakatani, Tomoyuki Kuroki, Kazuhiro Kobayashi, Hideki Morimoto and Shuhei Nishiguchi and has published in prestigious journals such as The Lancet, Hepatology and Biochemical and Biophysical Research Communications.

In The Last Decade

Tadashi Takeda

72 papers receiving 1.7k citations

Hit Papers

Randomised trial of effects of interferon-α on incidence ... 1995 2026 2005 2015 1995 200 400 600

Peers

Tadashi Takeda
Comparison fields: 5 of 109
  • Hepatology 1.2k
  • Epidemiology 1.2k
  • Surgery 139
  • Oncology 133
  • Molecular Biology 132
Replace David S. Barnes with:
David S. Barnes United States
Christian Rabe Germany
Yasuhiro Sone Japan
Pik‐Eu Chang Singapore
Shinya Nakajima Japan
Weixian Chen China
Anke Krüger Germany
Satoshi Iida Japan
Hajime Takei Japan
David S. Barnes United States View profile →
Citations per field, relative to Tadashi Takeda
Tadashi Takeda · 1×
Citations per year, relative to Tadashi Takeda
Tadashi Takeda · 1×

Countries citing papers authored by Tadashi Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Takeda. A scholar is included among the top collaborators of Tadashi Takeda 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 Tadashi Takeda. Tadashi Takeda 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 0
2 20
3 7
4 45
5 24
6 5
7 41
8 28
9 6
10 4
11 7
12 17
13 17
14 35
15
Randomised trial of effects of interferon-α on incidence of hepatocellular carcinoma in chronic active hepatitis C with cirrhosis breakdown →
700
16 1
17 7
18 39
19 2
20
Splenic blood flow in idiopathic portal hypertension in Japan measured by 85Kr clearance method.
20

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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