Shingo Niimi

50 papers receiving 666 citations

Peers

Shingo Niimi
Comparison fields: 5 of 98
  • Biological Psychiatry 55
  • Behavioral Neuroscience 33
  • Hepatology 43
  • Endocrinology, Diabetes and Metabolism 78
  • Molecular Biology 280
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Youming Chen China
Felipe Massó Mexico
Alessia Parodi Italy
Yun Jung Choi South Korea
Tuantuan Zhao United States
Gan Shen China
Carlton L. Schwab United States
Zhiyuan Mao China
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Małgorzata Rusak Poland
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Citations per year

Countries citing papers authored by Shingo Niimi

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Niimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shingo Niimi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shingo Niimi Line = papers co-authored together Shingo Niimi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987105
2 201362
3
In vitro evaluation of the new anticancer agents KT6149, MX-2, SM5887, menogaril, and liblomycin using cisplatin- or adriamycin-resistant human cancer cell lines.
198942
4 201134
5 199032
6 200731
7 200524
8 198323
9 201221
10 200920
11 200218
12 201418
13 201417
14 201517
15 200615
16 201313
17 200313
18 198313
19 200812
20 199110

About Shingo Niimi

Shingo Niimi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Biomaterials, Surgery and Oncology, having authored 51 papers that have together received 685 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), S100 Proteins and Annexins (7 papers), Liver physiology and pathology (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Bone Tissue Engineering Materials (4 papers), Silk-based biomaterials and applications (4 papers), Estrogen and related hormone effects (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Biological Psychiatry (55 citations), Behavioral Neuroscience (33 citations), Hepatology (43 citations), Endocrinology, Diabetes and Metabolism (78 citations) and Molecular Biology (280 citations). Shingo Niimi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takao Hayakawa, Taiichiro Seki, Naokatu Arakaki, Akira Ichihara, Tetsuo Yamazaki, Akira Tanaka, Chiseko Noda, Yoshiyuki Sakaki, Toshiki Nakamura and Motonobu Anai. Their work appears in journals such as Biological and Pharmaceutical Bulletin, The Journal of Biochemistry, Chemical and Pharmaceutical Bulletin, Journal of Biomedical Materials Research Part B Applied Biomaterials and Biochemical and Biophysical Research Communications.

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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