Masashi Shin

1.1k total citations
58 papers, 920 citations indexed

About

Masashi Shin is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Masashi Shin has authored 58 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Oncology and 9 papers in Hematology. Recurrent topics in Masashi Shin's work include Drug Transport and Resistance Mechanisms (8 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Amino Acid Enzymes and Metabolism (5 papers). Masashi Shin is often cited by papers focused on Drug Transport and Resistance Mechanisms (8 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Amino Acid Enzymes and Metabolism (5 papers). Masashi Shin collaborates with scholars based in Japan, Denmark and United Kingdom. Masashi Shin's co-authors include Kunio Fujiwara, Tetsuya Saita, Masao Kishikawa, Satoshi Fukumoto, S. Yamashiro, Kogo Takamiya, Hiroshi Shiku, Shinichi Aizawa, Koichi Furukawa and Lars‐Inge Larsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Masashi Shin

57 papers receiving 907 citations

Peers

Masashi Shin
Comparison fields: 5 of 95
  • Molecular Biology 556
  • Physiology 139
  • Immunology 130
  • Oncology 118
  • Cell Biology 116
Replace Iwao Waga with:
Iwao Waga Japan
Koichi Yokota Japan
Christopher B. Jackson Finland
Dongmei Zhang China
Mika Ikeda Japan
John M. Rumberger United States
Hedwich F. Kuipers United States
H R Williams United States
Michelle Wong United States
Hongyan Liang China
Iwao Waga Japan View profile →
Citations per field, relative to Masashi Shin
Masashi Shin · 1×
Citations per year, relative to Masashi Shin
Masashi Shin · 1×

Countries citing papers authored by Masashi Shin

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Masashi Shin. A scholar is included among the top collaborators of Masashi Shin 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 Masashi Shin. Masashi Shin 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
# Work Indexed citations
1 1
2 1
3 5
4 16
5 9
6 17
7 2
8 3
9 2
10 7
11 7
12 12
13 12
14 13
15 13
16 4
17 10
18 18
19 13
20 4

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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