Takashi Inamoto

3.5k citations
75 papers · 2.8k indexed · h-index 27
  • Hepatology top 2%
    • Liver Disease and Transplantation 10
    • Liver physiology and pathology 8
  • Genetics top 5%
    • Mesenchymal stem cell research 11
    • Electrospun Nanofibers in Biomedical Applications 10
  • Surgery top 5%
    • Organ Transplantation Techniques and Outcomes 11
    • Tissue Engineering and Regenerative Medicine 6
    • Breast Cancer Treatment Studies 9
    • T-cell and Retrovirus Studies 8

Takashi Inamoto

74 papers receiving 2.7k citations

Peers

Takashi Inamoto
Comparison fields: 5 of 112
  • Hepatology 402
  • Genetics 348
  • Biomaterials 367
  • Biochemistry 150
  • Surgery 822
Replace Haozhen Ren with:
Haozhen Ren China
Klas Norrby Sweden
Takumi Teratani Japan
Hirohiko Ise Japan
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Zhipeng Han China
Fred Fändrich Germany
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John J. Castellot United States
Koji Miyanishi Japan
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Citations per field
00.5×5.8×
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Citations per year

Countries citing papers authored by Takashi Inamoto

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Inamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201235
2 20111
3 20116
4 200846
5 20011
6 20018
7 200011
8
DIAGNOSIS OF EPSTEIN-BARR VIRUS LYMPHOMA AFTER LIVER TRANSPLANTATION
19982
9 19986
10 19973
11 19977
12 19978
13 199629
14 19963
15 199517
16 199512
17 199415
18 19941
19 199310
20 199311

About Takashi Inamoto

Takashi Inamoto is a scholar working on Hepatology, Genetics and Biomaterials, having authored 75 papers that have together received 2.8k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (11 papers), Mesenchymal stem cell research (11 papers), Liver Disease and Transplantation (10 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Breast Cancer Treatment Studies (9 papers), T-cell and Retrovirus Studies (8 papers), Liver physiology and pathology (8 papers) and Tissue Engineering and Regenerative Medicine (6 papers). The work is most often cited by research in Hepatology (402 citations), Genetics (348 citations) and Biomaterials (367 citations). Takashi Inamoto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yasuhiko Tabata, Yoshio Yamaoka, Yu Kimura, Junji Yodoi, Makoto Ozeki, Akira Yamauchi, Hiroshi Masutani, Kazue Ozawa, Masaya Ueno and Kazuo Honda. Their work appears in journals such as Journal of Biological Chemistry, Biomaterials and Hepatology.

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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