Mitsuyuki Shimada

20 total papers · 618 total citations
12 papers, 474 citations indexed

About

Mitsuyuki Shimada is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Mitsuyuki Shimada has authored 12 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Oncology. Recurrent topics in Mitsuyuki Shimada's work include Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Mitsuyuki Shimada is often cited by papers focused on Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Mitsuyuki Shimada collaborates with scholars based in Japan and Germany. Mitsuyuki Shimada's co-authors include Tsutomu Masuda, Karl Ziegelbauer, Sachiko Sakakibara, Timothy B. Lowinger, Toshiki Murata, Takuya Shintani, Kevin B. Bacon, Takashi Yoshino, Kinji Fuchikami and Makoto Shimazaki and has published in prestigious journals such as Life Sciences, European Journal of Pharmacology and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Mitsuyuki Shimada

12 papers receiving 458 citations

Author Peers

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

Author Last Decade Papers Cites
Mitsuyuki Shimada 235 166 99 81 50 12 474
Xiaoyu Fu 174 0.7× 241 1.5× 104 1.1× 64 0.8× 55 1.1× 13 464
Monish Jain 168 0.7× 181 1.1× 38 0.4× 60 0.7× 41 0.8× 16 521
Nilambra Dogra 144 0.6× 260 1.6× 119 1.2× 71 0.9× 38 0.8× 17 524
Ravi Naik 190 0.8× 262 1.6× 135 1.4× 52 0.6× 16 0.3× 20 525
Asif Khurshid Qazi 137 0.6× 316 1.9× 61 0.6× 45 0.6× 32 0.6× 20 522
Stanley J. Schmidt 193 0.8× 324 2.0× 33 0.3× 62 0.8× 33 0.7× 21 546
Wenda Zhang 153 0.7× 290 1.7× 79 0.8× 149 1.8× 44 0.9× 23 548
Sakshi Balwani 140 0.6× 134 0.8× 33 0.3× 58 0.7× 24 0.5× 15 410
Laxman Nallan 137 0.6× 284 1.7× 43 0.4× 57 0.7× 41 0.8× 11 543
Takashi Yoshino 187 0.8× 161 1.0× 100 1.0× 58 0.7× 61 1.2× 10 444

Countries citing papers authored by Mitsuyuki Shimada

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuyuki Shimada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuyuki Shimada

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuyuki Shimada. A scholar is included among the top collaborators of Mitsuyuki Shimada 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 Mitsuyuki Shimada. Mitsuyuki Shimada 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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