Takatoshi Kitada

12 total papers · 571 total citations
10 papers, 480 citations indexed

About

Takatoshi Kitada is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Takatoshi Kitada has authored 10 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Takatoshi Kitada's work include Glycosylation and Glycoproteins Research (6 papers), Pancreatic function and diabetes (2 papers) and Galectins and Cancer Biology (2 papers). Takatoshi Kitada is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Pancreatic function and diabetes (2 papers) and Galectins and Cancer Biology (2 papers). Takatoshi Kitada collaborates with scholars based in Japan. Takatoshi Kitada's co-authors include Eiji Miyoshi, Naoyuki Taniguchi, Norio Hayashi, Katsuhisa Noda, Akinori Kasahara, Masatsugu Hori, Nariaki Matsuura∥, Miyako Nakano, Tsutomu Nakagawa and Taizo Hijioka and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Cancer and Free Radical Research.

In The Last Decade

Takatoshi Kitada

9 papers receiving 473 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takatoshi Kitada 369 176 99 83 79 10 480
Ellen C. Havenaar 357 1.0× 181 1.0× 57 0.6× 106 1.3× 37 0.5× 11 528
Hulbert K. B. Silver 231 0.6× 118 0.7× 34 0.3× 85 1.0× 98 1.2× 16 459
Omer Junaidi 252 0.7× 101 0.6× 39 0.4× 69 0.8× 113 1.4× 10 537
Y Maynard 304 0.8× 97 0.6× 60 0.6× 105 1.3× 64 0.8× 8 446
Thomas Schreitmüller 285 0.8× 111 0.6× 49 0.5× 125 1.5× 116 1.5× 13 533
Diane Rup 376 1.0× 61 0.3× 33 0.3× 67 0.8× 67 0.8× 7 527
Katsue Kiyohara 293 0.8× 65 0.4× 99 1.0× 30 0.4× 24 0.3× 10 428
Koh Amano 347 0.9× 141 0.8× 67 0.7× 84 1.0× 202 2.6× 11 524
Katsuyoshi Shigeta 435 1.2× 179 1.0× 86 0.9× 216 2.6× 74 0.9× 16 545
Xingwang Jia 300 0.8× 73 0.4× 20 0.2× 20 0.2× 107 1.4× 17 513

Countries citing papers authored by Takatoshi Kitada

Since Specialization
Citations

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

Fields of papers citing papers by Takatoshi Kitada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takatoshi Kitada

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

All Works

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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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