Yutaka Tsukada

2.8k total citations
97 papers, 2.3k citations indexed

About

Yutaka Tsukada is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Yutaka Tsukada has authored 97 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 20 papers in Surgery and 13 papers in Oncology. Recurrent topics in Yutaka Tsukada's work include Glycosylation and Glycoproteins Research (11 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Toxin Mechanisms and Immunotoxins (9 papers). Yutaka Tsukada is often cited by papers focused on Glycosylation and Glycoproteins Research (11 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Toxin Mechanisms and Immunotoxins (9 papers). Yutaka Tsukada collaborates with scholars based in Japan, United States and Israel. Yutaka Tsukada's co-authors include Hidematsu Hirai, Nozomu Hibi, Henry C. Pitot, Kiyoshi Ohkawa, W. Lance Richards, Takashi Natori, Miki Aizawa, Hiroshi Ishikura, Naoyuki Taniguchi and Yuichiro Fukasawa and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yutaka Tsukada

96 papers receiving 2.1k citations

Peers

Yutaka Tsukada
Comparison fields: 5 of 113
  • Molecular Biology 952
  • Surgery 564
  • Oncology 430
  • Hepatology 412
  • Epidemiology 303
Replace Hiroshi Matsushima with:
Hiroshi Matsushima Japan
Vinicio Carloni Italy
Rongcheng Luo China
Rebecca T. Marquez United States
Douglas C. Hixson United States
Mengsen Li China
Kazuki Nakatani Japan
Shinji Iwasaki Japan
Hirohisa Tsujinoue Japan
Hirobumi Teraoka Japan
Hiroshi Matsushima Japan View profile →
Citations per field, relative to Yutaka Tsukada
Yutaka Tsukada · 1×
Citations per year, relative to Yutaka Tsukada
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Countries citing papers authored by Yutaka Tsukada

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Tsukada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Tsukada

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Tsukada. A scholar is included among the top collaborators of Yutaka Tsukada 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 Yutaka Tsukada. Yutaka Tsukada 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
2
2 13
3 27
4 13
5 1
6 18
7 10
8 5
9 17
10 13
11 6
12 4
13 9
14 73
15 5
16 43
17 10
18
Alpha-fetoprotein and albumin produced by subclonal cell population of the ascites hepatoma AH-66 in vitro.
5
19
Effect of cyclic AMP and related substances on the production of alpha-fetoprotein by ascites hepatoma AH-66 cells in culture.
2
20 6

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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