T Katayama

2.1k total citations · 1 hit paper
14 papers, 1.9k citations indexed

About

T Katayama is a scholar working on Epidemiology, Hepatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, T Katayama has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 11 papers in Hepatology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in T Katayama's work include Hepatitis C virus research (11 papers), Hepatitis B Virus Studies (10 papers) and Liver Disease Diagnosis and Treatment (7 papers). T Katayama is often cited by papers focused on Hepatitis C virus research (11 papers), Hepatitis B Virus Studies (10 papers) and Liver Disease Diagnosis and Treatment (7 papers). T Katayama collaborates with scholars based in Japan, United States and South Korea. T Katayama's co-authors include Tatsuo Miyamura, Izumu Saito, Shu Kikuchi, Yasunori Watanabe, Hideharu Harada, Akira Ohbayashi, S. Koi, Yasuyuki Ohta, M Onji and Michael Houghton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

T Katayama

13 papers receiving 1.8k citations

Hit Papers

Hepatitis C virus infection is associated with the develo... 1990 2026 2002 2014 1990 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Hepatitis C virus infection is associated with the development of hepatocellular carcinoma.
    1990 1000 citations Izumu Saito, Tatsuo Miyamura et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T Katayama Japan 10 1.6k 1.2k 374 320 188 14 1.9k
Hideharu Harada Japan 13 1.3k 0.8× 984 0.8× 232 0.6× 260 0.8× 104 0.6× 26 1.6k
Cinzia Traboni Italy 16 1.1k 0.7× 935 0.8× 380 1.0× 503 1.6× 176 0.9× 40 1.8k
Shogo Ohkoshi Japan 15 1.7k 1.1× 1.4k 1.1× 366 1.0× 376 1.2× 209 1.1× 45 2.2k
Nicole Krieger Germany 6 1.3k 0.8× 1.0k 0.8× 216 0.6× 277 0.9× 148 0.8× 6 1.5k
Helenia Ansuini Italy 8 983 0.6× 801 0.7× 356 1.0× 264 0.8× 122 0.6× 8 1.3k
Vicky M.-H. Sung United States 12 1.1k 0.7× 784 0.6× 155 0.4× 300 0.9× 302 1.6× 14 1.6k
S. Koi Japan 8 848 0.5× 812 0.7× 150 0.4× 561 1.8× 141 0.8× 11 1.7k
Glenn B. Knight United States 14 905 0.6× 720 0.6× 135 0.4× 281 0.9× 107 0.6× 18 1.4k
Gabrielle Vièyres Germany 20 883 0.5× 663 0.5× 229 0.6× 296 0.9× 239 1.3× 31 1.4k
A Valli Italy 13 1.4k 0.9× 1.3k 1.0× 221 0.6× 202 0.6× 780 4.1× 17 2.0k

Countries citing papers authored by T Katayama

Since Specialization
Citations

This map shows the geographic impact of T Katayama'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 T Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Katayama more than expected).

Fields of papers citing papers by T Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Katayama

This figure shows the co-authorship network connecting the top 25 collaborators of T Katayama. A scholar is included among the top collaborators of T Katayama 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 T Katayama. T Katayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Ishii, Koji, Domenico Rosa, T Katayama, et al.. (1998). High titers of antibodies inhibiting the binding of envelope to human cells correlate with natural resolution of chronic hepatitis C. Hepatology. 28(4). 1117–1120. 116 indexed citations
2.
Katayama, T. (1995). [The recent incidence of post-transfusion hepatitis C since the implementation of the anti-HCV screening program for blood donors].. PubMed. 53 Suppl(Pt 1). 383–8. 1 indexed citations
3.
Sagawa, Kimitaka, Manabu Mochizuki, Kazuhiro Masuoka, et al.. (1995). Immunopathological mechanisms of human T cell lymphotropic virus type 1 (HTLV-I) uveitis. Detection of HTLV-I-infected T cells in the eye and their constitutive cytokine production.. Journal of Clinical Investigation. 95(2). 852–858. 86 indexed citations
4.
Miyoshi, Chiaki, et al.. (1993). Screening Test for blood transfusion in Santa Cruz General Hospital, Bolivia.. Journal of the Japan Society of Blood Transfusion. 39(6). 952–958. 2 indexed citations
5.
Mazda, Toshio, Makoto Bannai, Tatsuo Miyamura, et al.. (1993). Follow‐up study of anti‐hepatitis C virus antibodies in blood donors implicated in post‐transfusion non‐A, non‐B hepatitis. Transfusion Medicine. 3(2). 149–151. 3 indexed citations
6.
Katayama, T, Toshio Mazda, Shu Kikuchi, et al.. (1992). Improved serodiagnosis of non-A, non-B hepatitis by an assay detecting antibody to hepatitis C virus core antigen. Hepatology. 15(3). 391–394. 34 indexed citations
7.
Harada, Shizuko, Yasunori Watanabe, Kenji Takeuchi, et al.. (1991). Expression of processed core protein of hepatitis C virus in mammalian cells. Journal of Virology. 65(6). 3015–3021. 125 indexed citations
8.
Katayama, T. (1991). [Post-transfusion viral hepatitis].. PubMed. Suppl 88. 156–70. 1 indexed citations
9.
Takeuchi, Kaoru, Yusuke Kubo, Sumalee Boonmar, et al.. (1990). Nucleotide sequence of core and envelope genes of the hepatitis C virus genome derived directly from human healthy carriers. Nucleic Acids Research. 18(15). 4626–4626. 84 indexed citations
10.
Watanabe, Junnosuke, Kiyoshi Minegishi, Takashi Oguchi, et al.. (1990). Prevalence of Anti‐HCV Antibody in Blood Donors in the Tokyo Area. Vox Sanguinis. 59(2). 86–88. 72 indexed citations
11.
Takeuchi, Kenji, Sumalee Boonmar, Yoshihiro Kubo, et al.. (1990). Hepatitis C viral cDNA clones isolated from a healthy carrier donor implicated in post-transfusion non-A, non-B hepatitis. Gene. 91(2). 287–291. 68 indexed citations
12.
Miyamura, Tatsuo, Izumu Saito, T Katayama, et al.. (1990). Detection of antibody against antigen expressed by molecularly cloned hepatitis C virus cDNA: application to diagnosis and blood screening for posttransfusion hepatitis.. Proceedings of the National Academy of Sciences. 87(3). 983–987. 159 indexed citations
13.
Saito, Izumu, Tatsuo Miyamura, Akira Ohbayashi, et al.. (1990). Hepatitis C virus infection is associated with the development of hepatocellular carcinoma.. Proceedings of the National Academy of Sciences. 87(17). 6547–6549. 1000 indexed citations breakdown →
14.
Kubo, Yoshihiro, Kenji Takeuchi, Sumalee Boonmar, et al.. (1989). A cDNA fragment of hepatitis C virus isolated from an implicated donor of post-transfusion non-A, non-B hepatitis in Japan. Nucleic Acids Research. 17(24). 10367–10372. 134 indexed citations

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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