Shugaku Takeda

2.7k citations
33 papers · 1.5k indexed · h-index 16
Topics
Acute Myeloid Leukemia Research (5 papers)Renal cell carcinoma treatment (5 papers)Cancer Genomics and Diagnostics (5 papers)
Partner nations
United StatesJapanNorway

In The Last Decade

Shugaku Takeda

32 papers receiving 1.5k citations

Peers

Shugaku Takeda
Comparison fields: 5 of 82
  • Molecular Biology 1.2k
  • Pulmonary and Respiratory Medicine 535
  • Cancer Research 451
  • Oncology 254
  • Cell Biology 112
Replace Celina M. D’Cruz with:
Celina M. D’Cruz United States
Susan Korenchuk United States
Ani Arakelian Canada
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Chee Wai Chua Hong Kong
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Ion Cristóbal Spain
Sunita Shankar United States
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Shugaku Takeda relative to Celina M. D’Cruz United States Celina M. D’Cruz's profile →
Citations per field
00.5×2.6×
Celina M. D’Cruz · 1×
Citations per year

Countries citing papers authored by Shugaku Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Shugaku Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shugaku Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Shugaku Takeda. A scholar is included among the top collaborators of Shugaku 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 Shugaku Takeda. Shugaku 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
#WorkIndexed citations
1 1
2 4
3 4
4 205
5 21
6 156
7 267
8 51
9 29
10 97
11 174
12 3
13 35
14 29
15 113
16 40
17 27
18 133
19 15
20
[The significance of measuring inhibition of thymidylate synthase activity as a parameter for antitumor activity of 5-fluorouracil derivatives].
5

About Shugaku Takeda

Shugaku Takeda is a scholar working on Cancer Research, Aging and Hematology, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Renal cell carcinoma treatment (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Cancer Research (451 citations), Molecular Biology (1.2k citations) and Pulmonary and Respiratory Medicine (535 citations). Shugaku Takeda has collaborated with scholars based in United States, Japan and Norway. Frequent co-authors include James J. Hsieh, Emily H. Cheng, Han Liu, A. Ari Hakimi, Ying‐Bei Chen, Robert J. Motzer, Martin H. Voss, Victor E. Reuter, Paul Russo and Todd D. Westergard. Their work appears in journals such as Nature, Journal of Clinical Investigation and Journal of Clinical Oncology.

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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