Yutaka Shima

718 total citations
15 papers, 391 citations indexed

About

Yutaka Shima is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Yutaka Shima has authored 15 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Hematology and 4 papers in Cancer Research. Recurrent topics in Yutaka Shima's work include Acute Myeloid Leukemia Research (7 papers), Protein Degradation and Inhibitors (3 papers) and Retinoids in leukemia and cellular processes (3 papers). Yutaka Shima is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Protein Degradation and Inhibitors (3 papers) and Retinoids in leukemia and cellular processes (3 papers). Yutaka Shima collaborates with scholars based in Japan, United Kingdom and United States. Yutaka Shima's co-authors include Issay Kitabayashi, Kazuo Umezawa, Tatsuro Irimura, Tomoki Chiba, Pier Paolo Pandolfi, Masaru Murai, Jun Nakashima, Yutaka Horiguchi, Mototsugu Oya and Takashi Ohigashi and has published in prestigious journals such as Blood, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Yutaka Shima

14 papers receiving 385 citations

Peers

Yutaka Shima
Comparison fields: 5 of 70
  • Molecular Biology 278
  • Cancer Research 112
  • Hematology 87
  • Oncology 72
  • Immunology 47
Replace C Nishizaki with:
C Nishizaki Japan
Shuo Dong China
Kunhua Qin United States
Laurie Bell United States
Fabien Zassadowski France
Dong Wu China
Xiangzi Han United States
Cynthia M. Porter United States
Vanessa Nancy-Portebois France
Sophie Deltour France
C Nishizaki Japan View profile →
Citations per field, relative to Yutaka Shima
Yutaka Shima · 1×
Citations per year, relative to Yutaka Shima
Yutaka Shima · 1×

Countries citing papers authored by Yutaka Shima

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Shima

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 8
3 17
4 37
5 45
6 34
7 13
8 14
9 1
10 26
11 68
12 6
13 17
14
Suppression of hormone-refractory prostate cancer by a novel nuclear factor kappaB inhibitor in nude mice.
100
15 5

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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